From 0172721855098ca02b207231a654dffa5e4eb1c9 Mon Sep 17 00:00:00 2001 From: redpony Date: Tue, 22 Jun 2010 05:12:27 +0000 Subject: initial checkin git-svn-id: https://ws10smt.googlecode.com/svn/trunk@2 ec762483-ff6d-05da-a07a-a48fb63a330f --- BUILDING | 42 + LICENSE.cctbx.txt | 45 + LICENSE.txt | 213 + Makefile.am | 4 + README | 57 + compound-split/README | 51 + compound-split/cdec-de.ini | 5 + compound-split/compound-split.pl | 125 + compound-split/de/TRAIN | 2 + compound-split/de/badlist.de.gz | Bin 0 -> 334 bytes compound-split/de/cdec-train.ini | 5 + compound-split/de/charlm.rev.5gm.de.lm.gz | Bin 0 -> 5847741 bytes compound-split/de/dev.in-ref | 621 + compound-split/de/large_dict.de.gz | Bin 0 -> 4188658 bytes compound-split/de/test | 302 + compound-split/de/test.ref | 302 + compound-split/de/weights.ptinit | 17 + compound-split/de/weights.trained | 17 + compound-split/examples.de/infile.txt | 5 + compound-split/examples.de/out.plf | 5 + compound-split/examples.de/out.txt | 5 + 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word-aligner/aligner.pl create mode 100644 word-aligner/makefiles/makefile.grammars create mode 100644 word-aligner/ortho-norm/README create mode 100755 word-aligner/ortho-norm/ar.pl create mode 100755 word-aligner/ortho-norm/en.pl create mode 100755 word-aligner/ortho-norm/fr.pl create mode 100755 word-aligner/ortho-norm/ur.pl create mode 100755 word-aligner/support/classify.pl create mode 100755 word-aligner/support/extract_grammar.pl create mode 100755 word-aligner/support/extract_vocab.pl create mode 100755 word-aligner/support/extract_weights.pl create mode 100755 word-aligner/support/invert_grammar.pl create mode 100755 word-aligner/support/make_lex_grammar.pl create mode 100755 word-aligner/support/merge_corpus.pl create mode 100755 word-aligner/support/supplement_weights_file.pl diff --git a/BUILDING b/BUILDING new file mode 100644 index 00000000..bf86a272 --- /dev/null +++ b/BUILDING @@ -0,0 +1,42 @@ +To build cdec, you'll need: + + * SRILM (register and download from http://www.speech.sri.com/projects/srilm/) + * Google c++ testing framework (http://code.google.com/p/googletest/) + * boost headers & boost program_options (you may need to install a package + like boost-devel) + + +Instructions for building +----------------------------------- + + 1) Download and build SRILM + + 2) Download, build, and install Google Test (optional, this is necessary + to build unit tests that may be useful in development; system tests + work without it) + + 3) Use automake / autoconf to generate the configure script. + I'm not an expert at using these tools, but this should be sufficient: + + autoreconf -ifv + + 4) Configure and build. Your command will look something like this. + + ./configure --with-srilm=/home/me/software/srilm-1.5.9 --disable-gtest + make + + If you get errors during configure about missing BOOST macros, then step 3 + failed, and you need to keep working at it. If you get errors during the + build, it's probably a problem with step 3 or possibly with some compiler + version idiosyncracies (generally, I assume you have a relatively new + of g++). + + 5) Test + + ./tests/run-system-tests.pl + + Everything should pass. + + + 6) Enjoy! + diff --git a/LICENSE.cctbx.txt b/LICENSE.cctbx.txt new file mode 100644 index 00000000..a8d9a494 --- /dev/null +++ b/LICENSE.cctbx.txt @@ -0,0 +1,45 @@ +*** License agreement *** + +cctbx Copyright (c) 2006, The Regents of the University of +California, through Lawrence Berkeley National Laboratory (subject to +receipt of any required approvals from the U.S. Dept. of Energy). 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + +---------------------------------------------- + +L-BFGS CODE FROM COMPUTATIONAL CRYSTALLOGRAPHY TOOLBOX (CCTBX) + +This package includes source code (training/lbfgs.h) based on source +code distributed as part of the Compational Crystallography Toolbox +(CCTBX), which has separate copyright notices and license terms. Use of +this source code is subject to the terms and conditions of the license +contained in the file LICENSE.cctbx . + diff --git a/Makefile.am b/Makefile.am new file mode 100644 index 00000000..d4e054a9 --- /dev/null +++ b/Makefile.am @@ -0,0 +1,4 @@ +SUBDIRS = decoder training vest extools +AUTOMAKE_OPTIONS = foreign + +ACLOCAL_AMFLAGS = -I m4 diff --git a/README b/README new file mode 100644 index 00000000..47b52355 --- /dev/null +++ b/README @@ -0,0 +1,57 @@ +cdec is a fast decoder. + +SPEED COMPARISON +------------------------------------------------------------------------------ + +Here is a comparison with a couple of other decoders doing SCFG decoding: + + Decoder Lang. BLEU Run-Time Memory + cdec c++ 31.47 0.37 sec/sent 1.0-1.1GB + Joshua Java 31.55 2.34 sec/sent 4.0-4.8GB + Hiero Python 31.22 27.2 sec/sent 1.7-1.9GB + +The maximum number of pops from candidate heap at each node is k=30, no other +pruning, 3gm LM, Chinese-English translation task. + + +GETTING STARTED +------------------------------------------------------------------------------ + +See the BUILDING file for instructions on how to build the software. To +explore the decoder's features, the best way to get started is to look +at cdec's command line options or to have a look at the test cases in +the tests/system_tests/ directory. Each of these can be run with a command +like ./cdec -c cdec.ini -i input.txt -w weights . The files should be +self explanatory. + + +EXTRACTING A SYNCHRONOUS GRAMMAR / PHRASE TABLE +------------------------------------------------------------------------------ +cdec does not include code for generating grammars. To build these, you will +need to write your own software or use an existing package like Joshua, Hiero, +or Moses. + + +OPTIMIZING / TRAINING MODELS +------------------------------------------------------------------------------ +cdec does include code for optimizing models, according to a number of +training criteria, including training models as CRFs (with latent derivation +variables), MERT (over hypergraphs) to opimize BLEU, TER, etc. + +Eventually, I will provide documentation for this. + + +ALIGNMENT / SYNCHRONOUS PARSING / CONSTRAINED DECODING +------------------------------------------------------------------------------ +cdec can be used as an aligner. For examples, see the test cases. + + +COPYRIGHT AND LICENSE +------------------------------------------------------------------------------ +Copyright (c) 2009 by Chris Dyer + +See the file LICENSE.txt for the licensing terms that this software is +released under. This software also includes the file m4/boost.m4 which is +licensed under the LGPL v3, for more information refer to the comments +in that file. + diff --git a/compound-split/README b/compound-split/README new file mode 100644 index 00000000..b7491007 --- /dev/null +++ b/compound-split/README @@ -0,0 +1,51 @@ +Instructions for running the compound splitter, which is a reimplementation +and extension (more features, larger non-word list) of the model described in + + C. Dyer. (2009) Using a maximum entropy model to build segmentation + lattices for MT. In Proceedings of NAACL HLT 2009, + Boulder, Colorado, June 2009 + +If you use this software, please cite this paper. + + +GENERATING 1-BEST SEGMENTATIONS AND LATTICES +------------------------------------------------------------------------------ + +Here are some sample invokations: + + ./compound-split.pl --output 1best < infile.txt > out.1best.txt + Segment infile.txt according to the 1-best segmentation file. + + ./compound-split.pl --output plf < infile.txt > out.plf + + ./compound-split.pl --output plf --beam 3.5 < infile.txt > out.plf + This generates denser lattices than usual (the default beam threshold + is 2.2, higher numbers do less pruning) + + +MODEL TRAINING (only for the adventuresome) +------------------------------------------------------------------------------ + +I've included some training data for training a German language lattice +segmentation model, and if you want to explore, you can or change the data. +If you're especially adventuresome, you can add features to cdec (the current +feature functions are found in ff_csplit.cc). The training/references are +in the file: + + dev.in-ref + +The format is the unsegmented form on the right and the reference lattice on +the left, separated by a triple pipe ( ||| ). Note that the segmentation +model inserts a # as the first word, so your segmentation references must +include this. + +To retrain the model (using MAP estimation of a conditional model), do the +following: + + cd de + ./TRAIN + +Note, the optimization objective is supposed to be non-convex, but i haven't +found much of an effect of where I initialize things. But I haven't looked +very hard- this might be something to explore. + diff --git a/compound-split/cdec-de.ini b/compound-split/cdec-de.ini new file mode 100644 index 00000000..65065487 --- /dev/null +++ b/compound-split/cdec-de.ini @@ -0,0 +1,5 @@ +formalism=csplit +cubepruning_pop_limit=100000 +weights=de/weights.trained +feature_function=CSplit_BasicFeatures de/large_dict.de.gz de/badlist.de.gz +feature_function=CSplit_ReverseCharLM de/charlm.rev.5gm.de.lm.gz diff --git a/compound-split/compound-split.pl b/compound-split/compound-split.pl new file mode 100755 index 00000000..490a5bc5 --- /dev/null +++ b/compound-split/compound-split.pl @@ -0,0 +1,125 @@ +#!/usr/bin/perl -w + +use strict; +my $script_dir; BEGIN { use Cwd qw/ abs_path /; use File::Basename; $script_dir = dirname(abs_path($0)); push @INC, $script_dir; } +use Getopt::Long; +use IPC::Open2; + +my $CDEC = "$script_dir/../decoder/cdec"; +my $LANG = 'de'; + +my $BEAM = 2.1; +my $OUTPUT = 'plf'; +my $HELP; +my $VERBOSE; + +GetOptions("decoder=s" => \$CDEC, + "language=s" => \$LANG, + "beam=f" => \$BEAM, + "output=s" => \$OUTPUT, + "verbose" => \$VERBOSE, + "help" => \$HELP + ) or usage(); + +usage() if $HELP; + +chdir $script_dir; + +if ($VERBOSE) { $VERBOSE = ""; } else { $VERBOSE = " 2> /dev/null"; } +$LANG = lc $LANG; +die "Can't find $CDEC\n" unless -f $CDEC; +die "Can't execute $CDEC\n" unless -x $CDEC; +die "Don't know about language: $LANG\n" unless -d "./$LANG"; +my $CONFIG="cdec-$LANG.ini"; +die "Can't find $CONFIG" unless -f $CONFIG; +die "--output must be '1best' or 'plf'\n" unless ($OUTPUT =~ /^(plf|1best)$/); +print STDERR "(Run with --help for options)\n"; +print STDERR "LANGUAGE: $LANG\n"; +print STDERR " OUTPUT: $OUTPUT\n"; + +my $CMD = "$CDEC -c $CONFIG"; +my $IS_PLF; +if ($OUTPUT eq 'plf') { + $IS_PLF = 1; + $CMD .= " --csplit_preserve_full_word --csplit_output_plf --beam_prune $BEAM"; +} +$CMD .= $VERBOSE; + +print STDERR "Executing: $CMD\n"; + +open2(\*OUT, \*IN, $CMD) or die "Couldn't fork: $!"; +binmode(STDIN,":utf8"); +binmode(STDOUT,":utf8"); +binmode(IN,":utf8"); +binmode(OUT,":utf8"); + +while() { + chomp; + s/^\s+//; + s/\s+$//; + my @words = split /\s+/; + my @res = (); + my @todo = (); + for (my $i=0; $i < scalar @words; $i++) { + my $word = lc $words[$i]; + if (length($word)<6 || $word =~ /^[,\-0-9\.]+$/) { + if ($IS_PLF) { + push @res, "(('" . escape($word) . "',0,1),),"; + } else { + push @res, $word; + } + } else { + push @res, undef; + push @todo, $word; + } + } + if (scalar @todo > 0) { + # print STDERR "TODO: @todo\n"; + my $tasks = join "\n", @todo; + print IN "$tasks\n"; + for (my $i = 0; $i < scalar @res; $i++) { + if (!defined $res[$i]) { + my $seg = ; + chomp $seg; + unless ($IS_PLF) { + $seg =~ s/^# //o; + } + $res[$i] = $seg; + } + } + } + if ($IS_PLF) { + print '('; + print join '', @res; + print ")\n"; + } else { + print "@res\n"; + } +} + +close IN; +close OUT; + +sub escape { + $_ = shift; + s/\\/\\\\/g; + s/'/\\'/g; + return $_; +} + +sub usage { + print < training.log & + diff --git a/compound-split/de/badlist.de.gz b/compound-split/de/badlist.de.gz new file mode 100644 index 00000000..a045f833 Binary files /dev/null and b/compound-split/de/badlist.de.gz differ diff --git a/compound-split/de/cdec-train.ini b/compound-split/de/cdec-train.ini new file mode 100644 index 00000000..58a99106 --- /dev/null +++ b/compound-split/de/cdec-train.ini @@ -0,0 +1,5 @@ +formalism=csplit +crf_uniform_empirical=true +intersection_strategy=full +feature_function=CSplit_BasicFeatures large_dict.de.gz badlist.de.gz +feature_function=CSplit_ReverseCharLM charlm.rev.5gm.de.lm.gz diff --git a/compound-split/de/charlm.rev.5gm.de.lm.gz b/compound-split/de/charlm.rev.5gm.de.lm.gz new file mode 100644 index 00000000..1bae8cb9 Binary files /dev/null and b/compound-split/de/charlm.rev.5gm.de.lm.gz differ diff --git a/compound-split/de/dev.in-ref b/compound-split/de/dev.in-ref new file mode 100644 index 00000000..a68f0688 --- /dev/null +++ b/compound-split/de/dev.in-ref @@ -0,0 +1,621 @@ +untersuchungsausschuss ||| ((('#',0,1),),(('untersuchung',0,1),('untersuchungs',0,1),),(('ausschuss',0,1),),) +vielleicht ||| # vielleicht +hochzeiten ||| # hochzeiten +damalige ||| # damalige +siegfried ||| # siegfried +jaschinski ||| # jaschinski +verdächtigenkreis ||| ((('#',0,1),),(('verdächtige',0,1),('verdächtigen',0,1),),(('kreis',0,1),),) +staatsanwaltschaft ||| ((('#',0,1),),(('staat',0,1),('staats',0,1),),(('staatsanwaltschaft',0,1),),) +damals ||| # damals +gefeiert ||| # gefeiert +landesbank ||| ((('#',0,1),),(('landesbank',0,2),('landes',0,1),('land',0,1),),(('bank',0,1),),) +ungewöhnlich ||| # ungewöhnlich +schwäbischen ||| # schwäbischen +feldherrn ||| # feld herrn +handelsblatt ||| ((('#',0,1),),(('handels',0,1),('handel',0,1),('handelsblatt',0,2),),(('blatt',0,1),),) +alexander ||| # alexander +großen ||| # großen +promoviert ||| # promoviert +wachstumsplänen ||| ((('#',0,1),),(('wachstums',0,1),('wachstum',0,1),),(('plänen',0,1),),) +keinen ||| # keinen +unausweichlichen ||| # unausweichlichen +konsolidierung ||| # konsolidierung +branche ||| # branche +tragende ||| # tragende +träumt ||| # träumt +institut ||| # institut +glücklicherweise ||| # glücklicherweise +augenhöhe ||| ((('#',0,1),),(('auge',0,1),('augen',0,1),),(('höhe',0,1),),) +deutschen ||| # deutschen +wiederherstellung ||| # wiederherstellung +grundstück ||| ((('#',0,1),),(('grund',0,1),('grundstück',0,2),),(('stück',0,1),),) +ruhestand ||| # ruhestand +widerstand ||| # widerstand +verstrickt ||| # verstrickt +stellen ||| # stellen +zahlreichen ||| # zahlreichen +versammlungsgesetz ||| ((('#',0,1),),(('versammlung',0,1),('versammlungs',0,1),),(('gesetz',0,1),),) +verstöße ||| # verstöße +sachbeschädigung ||| # sach beschädigung +vereinigungen ||| # vereinigungen +glashaus ||| # glas haus +auenlandschaft ||| # auen landschaft +fundament ||| # fundament +vierhock ||| # vierhock +idylle ||| # idylle +plätschert ||| # plätschert +johannes ||| # johannes +angrenzenden ||| # angrenzenden +sportjacke ||| # sport jacke +mittelmeerinseln ||| # mittelmeer inseln +stiefelförmige ||| # stiefel förmige +wiederaufnahme ||| # wiederaufnahme +tonbandaufnahme ||| # tonband aufnahme +korrekturzucker ||| # korrektur zucker +meeresspiegel ||| ((('#',0,1),),(('meer',0,1),('meeres',0,1),),(('spiegel',0,1),),) +gesamtausgabe ||| # gesamt ausgabe +losfertigung ||| # los fertigung +reichstag ||| # reichstag +monntag ||| # monntag +mittwoch ||| # mittwoch +freitag ||| # freitag +sonntag ||| # sonntag +nachbarschaftsbeziehungen ||| ((('#',0,1),),(('nachbarschafts',0,1),('nachbarschaft',0,1),),(('beziehungen',0,1),),) +saftbar ||| # saft bar +produktionsprozesses ||| # produktion prozesses +gesamtzusammenhang ||| # gesamt zusammenhang +volkswirtschaftslehre ||| # volk wirtschaft lehre +losverfahren ||| # los verfahren +schifffahrt ||| # schiff fahrt +dienstag ||| # dienstag +donnerstag ||| # donnerstag +samstag ||| # samstag +sonnabend ||| # sonnabend +mitglied ||| # mitglied +abblendlicht ||| # abblend licht +abbrucharbeiten ||| # abbruch arbeiten +abergläubischen ||| # abergläubischen +abfallbewirtschaftungshierarchie ||| # abfall bewirtschaftung hierarchie +abfallbewirtschaftungsplänen ||| # abfall bewirtschaftung plänen +abfertigungsgebühren ||| # abfertigung gebühren +beitragsunabhängig ||| # beitrag unabhängig +einreichungsfrist ||| # einreichung frist +europaabgeordnete ||| # europa abgeordnete +früherkennungskampagnen ||| # früh erkennung kampagnen +hilfsagenturen ||| ((('#',0,1),),(('hilf',0,1),('hilfs',0,1),),(('agenturen',0,1),),) +hilfsinstitutionen ||| ((('#',0,1),),(('hilf',0,1),('hilfs',0,1),),(('institutionen',0,1),),) +kaisergranat ||| # kaiser granat +kalifornien ||| # kalifornien +kampfflugzeug ||| # kampf flugzeug +luftangriffen ||| # luft angriffen +luftsicherheit ||| # luft sicherheit +mithäftlingen ||| # mithäftlingen +wartungsarbeiten ||| # wartung arbeiten +wasseraufbereitungsanlagen ||| ((('#',0,1),),(('wasser',0,1),),(('aufbereitungs',0,1),('aufbereitung',0,1),),(('anlagen',0,1),),) +wasserdienstleistungen ||| # wasser dienstleistungen +weihnachtsgeschenk ||| # weihnacht geschenk +weltarbeitsorganisation ||| # welt arbeit organisation +zeitdruck ||| # zeit druck +bundesagentur ||| ((('#',0,1),),(('bund',0,1),('bundes',0,1),),(('agentur',0,1),),) +fahrstuhlschächten ||| # fahrstuhl schächten +elektroindustrie ||| # elektro industrie +sonderpreis ||| # sonder preis +modellrechnung ||| # modell rechnung +treibhauseffekt ||| # treibhaus effekt +europatournee ||| # europa tournee +wirtschaftskrise ||| # wirtschafts krise +mittwochabend ||| # mittwoch abend +abschiedsgala ||| # abschied gala +betriebstag ||| # betrieb tag +flughafen ||| # flughafen +truthahn ||| # truthahn +gehirnregion ||| # gehirn region +feststellung ||| # feststellung +thanksgiving ||| # thanks giving +börsenhändler ||| # börsen händler +risikoforschung ||| # risiko forschung +finanzkrise ||| # finanz krise +erkenntnis ||| # erkenntnis +vergangenheit ||| # vergangenheit +festtagsbratenesser ||| # festtag braten esser +ungemütlichkeit ||| # ungemütlichkeit +privatanlegern ||| # privat anlegern +finanzmakler ||| # finanz makler +immobilienfonds ||| # immobilien fonds +wertzuwachs ||| # wert zuwachs +marmelade ||| # marmelade +roboterzofe ||| # roboter zofe +heinrich ||| # heinrich +zeitdehnung ||| # zeit dehnung +zeitlosigkeit ||| # zeitlosigkeit +auseinandersetzung ||| # auseinandersetzung +immobilienfondskrise ||| ((('#',0,1),),(('immobilien',0,1),),(('fonds',0,1),('fond',0,1),),(('krise',0,1),),) +stackelberg ||| # stackelberg +bodenseedampfschifffahrtsgesellschaftskapitänsmütze ||| # bodensee dampf schiff fahrt gesellschaft kapitän mütze +hamburg ||| # hamburg +inzwischen ||| # inzwischen +deutsche ||| # deutsche +justiz ||| # justiz +britische ||| # britische +bischof ||| # bischof +richard ||| # richard +williamson ||| # williamson +respektablen ||| # respektablen +standes ||| # standes +soutane ||| # soutane +unfassbare ||| # unfassbare +millionen ||| # millionen +gaskammern ||| # gas kammern +holocaustleugner ||| # holocaust leugner +großansicht ||| # groß ansicht +überraschte ||| # überraschte +gegenfrage ||| # gegen frage +journalisten ||| # journalisten +fernsehsender ||| # fernseh sender +schließlich ||| # schließlich +revisionisten ||| # revisionisten +dreihunderttausend ||| # drei hundert tausend +konzentrationslagern ||| ((('#',0,1),),(('konzentration',0,1),('konzentrations',0,1),),(('lagern',0,1),),) +schwadroniert ||| # schwadroniert +schornsteinhöhen ||| # schornstein höhen +touristen ||| # touristen +auschwitz ||| # auschwitz +birkenau ||| # birkenau +antisemitismus ||| ((('#',0,1),),(('anti',0,1),('antisemitismus',0,2),),(('semitismus',0,1),),) +schwedische ||| # schwedische +interviewer ||| # interviewer +bischof ||| # bischof +williamson ||| # williamson +wahrheit ||| # wahrheit +schlecht ||| # schlecht +interessiert ||| # interessiert +entrückte ||| # entrückte +deutscher ||| # deutscher +blamiert ||| # blamiert +katholische ||| # katholische +ausgabe ||| # ausgabe +skandal ||| # skandal +interview ||| # interview +berichtet ||| # berichtet +bayerischen ||| # bayerischen +zaitzhofen ||| # zaitzhofen +fernsehen ||| # fernsehen +regensburger ||| # regensburger +ruckdäschel ||| # ruckdäschel +artikel ||| # artikel +leitete ||| # leitete +angaben ||| # angaben +ermittlungsverfahren ||| ((('#',0,1),),(('ermittlung',0,1),('ermittlungs',0,1),),(('verfahren',0,1),),) +verdacht ||| # verdacht +volksverhetzung ||| ((('#',0,1),),(('volk',0,1),('volks',0,1),),(('verhetzung',0,1),),) +inzwischen ||| # inzwischen +rechtsanwalt ||| # rechtsanwalt +einlassung ||| # einlassung +behörde ||| # behörde +geistliche ||| # geistliche +gespräch ||| # gespräch +ausschließlich ||| # ausschließlich +auszustrahlen ||| # auszustrahlen +veröffentlichung ||| # veröffentlichung +deutschland ||| # deutschland +exkommunikation ||| # exkommunikation +hintergrund ||| # hintergrund +juristischen ||| # juristischen +volksverhetzungsparagrafen ||| ((('#',0,1),),(('volk',0,1),('volks',0,1),),(('verhetzung',0,1),('verhetzungs',0,1),),(('paragrafen',0,1),),) +strafgesetzbuchs ||| # straf gesetz buchs +leugnung ||| # leugnung +strafverfolgung ||| # straf verfolgung +hintertür ||| # hintertür +entziehen ||| # entziehen +inzwischen ||| # inzwischen +einsicht ||| # einsicht +ermittlungsakten ||| ((('#',0,1),),(('ermittlung',0,1),('ermittlungs',0,1),),(('akten',0,1),),) +ruckdäschel ||| # ruckdäschel +überlegen ||| # überlegen +schwedischen ||| # schwedischen +journalisten ||| # journalisten +hintergründen ||| # hintergründen +absprachen ||| # absprachen +vorfeld ||| # vorfeld +oberstaatsanwalt ||| ((('#',0,1),),(('ober',0,1),),(('staat',0,1),('staats',0,1),('staatsanwalt',0,2),),(('anwalt',0,1),),) +mendelssohn ||| # mendelssohn +bartholdy ||| # bartholdy +entstammte ||| # entstammte +angesehenen ||| # angesehenen +wohlhabenden ||| # wohlhabenden +bürgerlichen ||| # bürgerlichen +jüdischen ||| # jüdischen +familie ||| # familie +väterlicherseits ||| # väterlicherseits +bedeutenden ||| # bedeutenden +philosophen ||| # philosophen +abraham ||| # abraham +bankkaufmannslehre ||| ((('#',0,1),),(('bank',0,1),),(('kaufmanns',0,1),('kaufmann',0,1),),(('lehre',0,1),),) +kompagnon ||| # kompagnon +mutter ||| # mutter +salomon ||| # salomon +fabrikantenfamilie ||| # fabrikanten familie +schwester ||| # schwester +hensel ||| # hensel +geschwister ||| # geschwister +rebecca ||| # rebecca +mathematiker ||| # mathematiker +dirichlet ||| # dirichlet +kinder ||| # kinder +pfarrer ||| # pfarrer +reformierten ||| # reformierten +gemeinde ||| # gemeinde +berliner ||| # berliner +jerusalems ||| # jerusalems +haustaufe ||| # haus taufe +protestantisch ||| # protestantisch +gelegenheit ||| # gelegenheit +taufnamen ||| # tauf namen +ludwig ||| # ludwig +darüber ||| # darüber +familiennamen ||| ((('#',0,1),),(('familie',0,1),('familien',0,1),),(('namen',0,1),),) +christliche ||| # christliche +beigefügt ||| # beigefügt +vorbesitzers ||| # vorbesitzers +gartens ||| # gartens +abraham ||| # abraham +mendelssohn ||| # mendelssohn +konvertierten ||| # konvertierten +christentum ||| # christentum +kindheit ||| # kindheit +französischen ||| # französischen +besetzung ||| # besetzung +familie ||| # familie +verwitwete ||| # verwitwete +großmutter ||| ((('#',0,1),),(('groß',0,1),('großmutter',0,2),),(('mutter',0,1),),) +musikunterricht ||| # musik unterricht +schülerin ||| # schülerin +philipp ||| # philipp +kirnbergers ||| # kirnbergers +unmittelbaren ||| # unmittelbaren +großtante ||| # groß tante +tochter ||| # tochter +finanzmanns ||| # finanzmanns +daniel ||| # daniel +preußischer ||| # preußischer +friedrich ||| # friedrich +wilhelm ||| # wilhelm +naturalisationspatent ||| ((('#',0,1),),(('naturalisation',0,1),('naturalisations',0,1),),(('patent',0,1),),) +vermittelte ||| # vermittelte +tradition ||| # tradition +gönnerin ||| # gönnerin +lehrerin ||| # lehrerin +vorübergehenden ||| # vorübergehenden +aufenthalts ||| # aufenthalts +rückkehr ||| # rückkehr +unterricht ||| # unterricht +komposition ||| # komposition +ausbildung ||| # ausbildung +schriftstellers ||| # schriftstellers +neunjähriger ||| # neun jähriger +klavierpart ||| # klavier part +klaviertrio ||| # klavier trio +altsänger ||| # alt sänger +akademie ||| # akademie +kirchenmusik ||| ((('#',0,1),),(('kirchen',0,1),('kirche',0,1),),(('musik',0,1),),) +außergewöhnlicher ||| # außergewöhnlicher +schnelligkeit ||| # schnelligkeit +klaviersonaten ||| # klavier sonaten +klaviertrio ||| # klavier trio +orgelstücke ||| # orgel stücke +dreisätzige ||| # drei sätzige +streichersinfonien ||| # streicher sinfonien +motetten ||| # motetten +singspiele ||| # singspiele +soldatenliebschaft ||| # soldaten liebschaft +singspiels ||| # singspiels +komödianten ||| # komödianten +freundschaft ||| # freundschaft +barack ||| # barack +getappt ||| # getappt +anstehenden ||| # anstehenden +herkulesaufgaben ||| # herkules aufgaben +zugleich ||| # zugleich +blütenweiße ||| # blütenweiße +westen ||| # westen +regierungsgrundsätzen ||| ((('#',0,1),),(('regierung',0,1),('regierungs',0,1),),(('grundsätzen',0,1),),) +genügen ||| # genügen +problem ||| # problem +fachlich ||| # fachlich +ansteckenden ||| # ansteckenden +krankheit ||| # krankheit +washington ||| # washington +befallen ||| # befallen +symptome ||| # symptome +verquickung ||| # verquickung +öffentlichen ||| # öffentlichen +interessen ||| # interessen +lobbyistenumtriebe ||| # lobbyisten umtriebe +steuerzahlungsphobie ||| ((('#',0,1),),(('steuer',0,1),),(('zahlung',0,1),('zahlungs',0,1),),(('phobie',0,1),),) +eigentlich ||| # eigentlich +ausgezogen ||| # ausgezogen +krankheit ||| # krankheit +auszurotten ||| # auszurotten +probleme ||| # probleme +gewaltig ||| # gewaltig +problembewältiger ||| # problem bewältiger +verzichten ||| # verzichten +ausnahmen ||| # ausnahmen +nachsichtig ||| # nachsichtig +nachlässig ||| # nachlässig +nummer ||| # nummer +verteidigungsministerium ||| ((('#',0,1),),(('verteidigung',0,1),('verteidigungs',0,1),),(('ministerium',0,1),),) +fachmann ||| # fachmann +rüstungslobbyist ||| ((('#',0,1),),(('rüstung',0,1),('rüstungs',0,1),),(('lobbyist',0,1),),) +geithner ||| # geithner +finanzminister ||| # finanz minister +fiskus ||| # fiskus +vorenthalten ||| # vorenthalten +daschle ||| # daschle +obamas ||| # obamas +wunschkandidat ||| # wunsch kandidat +gesundheitsministerium ||| ((('#',0,1),),(('gesundheit',0,1),('gesundheits',0,1),),(('ministerium',0,1),),) +schuldete ||| # schuldete +begleichung ||| # begleichung +feststand ||| ((('#',0,1),),(('fest',0,1),('feststand',0,2),),(('stand',0,1),),) +tatsächlich ||| # tatsächlich +regierung ||| # regierung +aufrücken ||| # aufrücken +übergelaufen ||| ((('#',0,1),),(('über',0,1),('übergelaufen',0,2),),(('gelaufen',0,1),),) +proteststurm ||| # protest sturm +handtuch ||| ((('#',0,1),),(('hand',0,1),('handtuch',0,2),),(('tuch',0,1),),) +konzentrationslager ||| ((('#',0,1),),(('konzentration',0,1),('konzentrations',0,1),),(('lager',0,1),),) +entwicklungspolitik ||| ((('#',0,1),),(('entwicklung',0,1),('entwicklungs',0,1),),(('politik',0,1),),) +zeitungsbericht ||| ((('#',0,1),),(('zeitung',0,1),('zeitungs',0,1),),(('bericht',0,1),),) +managergehälter ||| # manager gehälter +begrenzen ||| # begrenzen +unternehmen ||| # unternehmen +staatshilfen ||| ((('#',0,1),),(('staat',0,1),('staats',0,1),),(('hilfen',0,1),),) +bescheidener ||| # bescheidener +präsidenten ||| # präsidenten +gehaltsobergrenze ||| ((('#',0,1),),(('gehalt',0,1),('gehalts',0,1),),(('ober',0,1),('obergrenze',0,2),),(('grenze',0,1),),) +sonnensystems ||| # sonnen systems +kreist ||| # kreist +erdähnlicher ||| # erd ähnlicher +planet ||| # planet +exoplanet ||| ((('#',0,1),),(('exo',0,1),('exoplanet',0,2),),(('planet',0,1),),) +durchbruch ||| ((('#',0,1),),(('durch',0,1),('durchbruch',0,2),),(('bruch',0,1),),) +fremden ||| # fremden +ulrich ||| # ulrich +schnabel ||| # schnabel +kulturgeschichte ||| # kultur geschichte +milchwirtschaft ||| # milch wirtschaft +menschen ||| # menschen +geschäftsführung ||| ((('#',0,1),),(('geschäft',0,1),('geschäfts',0,1),),(('führung',0,1),),) +zuständigen ||| # zuständigen +amtsgericht ||| ((('#',0,1),),(('amt',0,1),('amts',0,1),),(('gericht',0,1),),) +göppingen ||| # göppingen +antrag ||| # antrag +eröffnung ||| # eröffnung +insolvenzverfahrens ||| # insolvenz verfahrens +dieter ||| # dieter +ausgewählte ||| # ausgewählte +informationsangebote ||| ((('#',0,1),),(('information',0,1),('informations',0,1),),(('angebote',0,1),),) +deutschen ||| # deutschen +vereinfacht ||| # vereinfacht +vokabelglossar ||| # vokabel glossar +gewaltige ||| # gewaltige +haushohe ||| # haushohe +segler ||| # segler +oktober ||| # oktober +gibraltar ||| # gibraltar +verschwand ||| # verschwand +verfügte ||| # verfügte +bronzekanonen ||| # bronze kanonen +tonnen ||| # tonnen +portugiesischer ||| # portugiesischer +goldmünzen ||| # gold münzen +kaufleute ||| # kauf leute +schätzungen ||| # schätzungen +vergangenen ||| # vergangenen +millionen ||| # millionen +schiffe ||| # schiffe +meeresgrund ||| ((('#',0,1),),(('meer',0,1),('meeres',0,1),),(('grund',0,1),),) +unterschiedliche ||| # unterschiedliche +wasserfahrzeuge ||| # wasser fahrzeuge +kriegsschiffe ||| ((('#',0,1),),(('krieg',0,1),('kriegs',0,1),),(('schiffe',0,1),),) +passagierdampfer ||| # passagier dampfer +handelsflotten ||| ((('#',0,1),),(('handel',0,1),('handels',0,1),),(('flotten',0,1),),) +piratenboote ||| ((('#',0,1),),(('pirate',0,1),('piraten',0,1),),(('boote',0,1),),) +tanker ||| # tanker +großbritannien ||| # groß britannien +ältesten ||| # ältesten +seefahrernationen ||| ((('#',0,1),),(('see',0,1),('seefahrer',0,2),),(('fahrer',0,1),),(('nationen',0,1),),) +auffassung ||| # auffassung +marinehistoriker ||| # marine historiker +irgendein ||| # irgendein +anderes ||| # anderes +allein ||| # allein +havarierten ||| # havarierten +registrierte ||| # registrierte +schiffe ||| # schiffe +küstennähe ||| ((('#',0,1),),(('küste',0,1),('küsten',0,1),),(('nähe',0,1),),) +ortung ||| # ortung +victory ||| # victory +amerikanisches ||| # amerikanisches +bergungsunternehmen ||| ((('#',0,1),),(('bergung',0,1),('bergungs',0,1),),(('unternehmen',0,1),),) +wichtigsten ||| # wichtigsten +meeresfunde ||| ((('#',0,1),),(('meer',0,1),('meeres',0,1),),(('funde',0,1),),) +geschichte ||| # geschichte +entdeckern ||| # entdeckern +historisches ||| # historisches +kriegsboot ||| ((('#',0,1),),(('krieg',0,1),('kriegs',0,1),),(('boot',0,1),),) +jahrhundert ||| # jahrhundert +tausend ||| # tausend +untergegangenen ||| ((('#',0,1),),(('unter',0,1),('untergegangenen',0,2),),(('gegangenen',0,1),),) +schiffen ||| # schiffen +kostbarsten ||| # kostbarsten +schätzen ||| # schätzen +entdeckung ||| # entdeckung +warten ||| # warten +tauchjagd ||| # tauch jagd +Überreste ||| # Überreste +längst ||| # längst +vergangener ||| # vergangener +epochen ||| # epochen +länder ||| # länder +streiten ||| # streiten +schiffsfriedhöfe ||| ((('#',0,1),),(('schiff',0,1),('schiffs',0,1),),(('friedhöfe',0,1),),) +tauchjagd ||| # tauch jagd +schatzjäger ||| # schatz jäger +moderne ||| # moderne +technik ||| # technik +jahrhundertealte ||| # jahrhunderte alte +wracks ||| # wracks +geheimnisse ||| # geheimnisse +besitzrechte ||| # besitz rechte +wahrscheinlichkeit ||| # wahrscheinlichkeit +minimaltemperatur ||| # minimal temperatur +winterhalbjahr ||| ((('#',0,1),),(('winter',0,1),),(('halb',0,1),('halbjahr',0,2),),(('jahr',0,1),),) +celsius ||| # celsius +durchschnittliche ||| # durchschnittliche +sommerhalbjahr ||| ((('#',0,1),),(('sommer',0,1),),(('halb',0,1),('halbjahr',0,2),),(('jahr',0,1),),) +maximaltemperatur ||| # maximal temperatur +kreuzungsversuche ||| ((('#',0,1),),(('kreuzung',0,1),('kreuzungs',0,1),),(('versuche',0,1),),) +erbsenpflanzen ||| ((('#',0,1),),(('erbsen',0,1),('erbse',0,1),),(('pflanzen',0,1),),) +klostergarten ||| # kloster garten +befruchtungen ||| # befruchtungen +zehntausende ||| # zehn tausende +pflanzenhybriden ||| ((('#',0,1),),(('pflanze',0,1),('pflanzen',0,1),),(('hybriden',0,1),),) +fleißaufgabe ||| ((('#',0,1),),(('fleiß',0,1),('fleißaufgabe',0,2),),(('aufgabe',0,1),),) +ungewöhnliche ||| # ungewöhnliche +hartnäckigkeit ||| # hartnäckigkeit +naturforschers ||| # natur forschers +innenminister ||| # innen minister +verbreitete ||| # verbreitete +falschinformationen ||| # falsch informationen +analysen ||| # analysen +hintergründe ||| # hintergründe +menschen ||| # menschen +gekostet ||| # gekostet +hunderte ||| # hunderte +wurden ||| # wurden +verletzt ||| # verletzt +containerschiff ||| # container schiff +unfall ||| # unfall +umweltdesaster ||| # umwelt desaster +australien ||| # australien +größer ||| # größer +bisher ||| # bisher +befürchtet ||| # befürchtet +containerschiff ||| # container schiff +unfall ||| # unfall +australien ||| # australien +deutlich ||| # deutlich +schweröl ||| # schweröl +zunächst ||| # zunächst +angenommen ||| # angenommen +freitag ||| # freitag +schwappte ||| # schwappte +schwarze ||| # schwarze +flüssigkeit ||| # flüssigkeit +strände ||| # strände +kilometern ||| # kilometern +kapitän ||| # kapitän +langen ||| # langen +pacific ||| # pacific +adventurer ||| # adventurer +hongkong ||| # hong kong +verlust ||| # verlust +zunächst ||| # zunächst +tonnen ||| # tonnen +angegeben ||| # angegeben +regierungschef ||| ((('#',0,1),),(('regierung',0,1),('regierungs',0,1),),(('chef',0,1),),) +queensland ||| # queensland +samstag ||| # samstag +kapitän ||| # kapitän +vortag ||| # vortag +vertuschung ||| # vertuschung +vorgeworfen ||| # vorgeworfen +mittwoch ||| # mittwoch +containerschiff ||| # container schiff +naturreservate ||| # natur reservate +touristenstrände ||| # touristen strände +ostküste ||| # ost küste +nördlich ||| # nördlich +brisbane ||| # brisbane +bestechungsversuch ||| ((('#',0,1),),(('bestechungs',0,1),('bestechung',0,1),),(('versuch',0,1),),) +campingkocher ||| # camping kocher +später ||| # später +ermöglichte ||| # ermöglichte +verstärkte ||| # verstärkte +integration ||| # integration +funktechnik ||| # funk technik +mobiltelefone ||| # mobil telefone +aktenkoffers ||| ((('#',0,1),),(('akten',0,1),('aktenkoffers',0,2),),(('koffers',0,1),),) +vorstufe ||| # vorstufe +bedrohlich ||| # bedrohlich +anstieg ||| # anstieg +kohlendioxids ||| ((('#',0,1),),(('kohle',0,1),('kohlen',0,1),),(('dioxids',0,1),),) +computermodelle ||| # computer modelle +überhaupt ||| # überhaupt +schützen ||| # schützen +welchem ||| # welchem +climategate ||| ((('#',0,1),),(('climate',0,1),('climategate',0,2),),(('gate',0,1),),) +genannte ||| # genannte +skandal ||| # skandal +britische ||| # britische +forschungsinstitut ||| ((('#',0,1),),(('forschung',0,1),('forschungs',0,1),),(('institut',0,1),),) +climate ||| # climate +research ||| # research +folgenschwerste ||| ((('#',0,1),),(('folgenschwerste',0,2),('folgen',0,1),('folge',0,1),),(('schwerste',0,1),),) +wissenschaftsdebatte ||| ((('#',0,1),),(('wissenschaft',0,1),('wissenschafts',0,1),),(('debatte',0,1),),) +unserer ||| # unserer +erneut ||| # erneut +computerhacker ||| # computer hacker +hatten ||| # hatten +instituts ||| # instituts +gestohlen ||| # gestohlen +veröffentlicht ||| # veröffentlicht +forscher ||| # forscher +manipulierten ||| # manipulierten +prognose ||| # prognose +baldigen ||| # baldigen +erwärmung ||| # erwärmung +passten ||| # passten +andersdenkende ||| # anders denkende +wissenschaftler ||| # wissenschaftler +wurden ||| # wurden +gezielt ||| # gezielt +diffamiert ||| # diffamiert +wichtigsten ||| # wichtigsten +datenlieferanten ||| # daten lieferanten +weltklimarats ||| # welt klima rats +wesentlichen ||| # wesentlichen +fraktionen ||| # fraktionen +debatte ||| # debatte +herrschende ||| # herrschende +schule ||| # schule +vertreten ||| # vertreten +repräsentiert ||| # repräsentiert +mehrheit ||| # mehrheit +wissenschaftler ||| # wissenschaftler +führender ||| # führender +stelle ||| # stelle +stehen ||| # stehen +forscher ||| # forscher +klimamodelle ||| # klimamodelle +entwickeln ||| # entwickeln +computersimulationen ||| # computer simulationen +künftige ||| # künftige +errechnen ||| # errechnen +sollen ||| # sollen +hauptverantwortlichen ||| # haupt verantwortlichen +prognostizierte ||| # prognostizierte +erwärmung ||| # erwärmung +menschen ||| # menschen +zusätzlich ||| # zusätzlich +natürlichen ||| # natürlichen +geschehen ||| # geschehen +verursachte ||| # verursachte +ermittelt ||| # ermittelt +spatenstich ||| # spaten stich +teuersten ||| # teuersten +kirchenneubau ||| # kirche neu bau +ostdeutschlands ||| # ost deutschlands +erfolgen ||| # erfolgen diff --git a/compound-split/de/large_dict.de.gz b/compound-split/de/large_dict.de.gz new file mode 100644 index 00000000..9af2c447 Binary files /dev/null and b/compound-split/de/large_dict.de.gz differ diff --git a/compound-split/de/test b/compound-split/de/test new file mode 100644 index 00000000..8dac76cd --- /dev/null +++ b/compound-split/de/test @@ -0,0 +1,302 @@ +aktiengesellschaft +aktiengesellschaft +wiederaufnahme +tonbandaufnahme +staatskrise +staatskrise +madagaskars +präsident +bittet +schlagworte +demonstration +putsch +machtkampf +zwischen +opposition +regierungspartei +regierungspartei +spitzt +afrikanischen +botschaft +befürchtet +bürgerkrieg +mitglieder +oppositionspartei +oppositionspartei +demonstrieren +putsch +madagaskars +präsidenten +ravalomanana +mitglieder +oppositionspartei +oppositionspartei +demonstrieren +putsch +madagaskars +präsidenten +ravalomanana +bedrängte +präsident +wandte +öffentlichen +hilferuf +anhänger +forderte +regierungssitz +regierungssitz +schützen +mitglieder +präsidentengarde +präsidentengarde +unbestätigten +medienberichten +medienberichten +begonnen +posten +verlassen +augenzeugen +augenzeugen +berichteten +gepanzerte +fahrzeuge +außenbezirken +hauptstadt +hauptstadt +antananarivo +botschafter +marquardt +nationalen +fernsehen +erklärt +steuere +bürgerkrieg +botschaft +familien +mitarbeiter +unbedingt +benötigt +werden +bürger +verlassen +landes +aufgefordert +deutsche +botschaft +dagegen +wollte +absprache +anderen +europäischen +vertretungen +zunächst +ausreise +empfehlung +regierung +angeschlagenen +staatspräsidenten +staatspräsidenten +ravalomanana +demokratiebewegung +selbst +ernannten +präsidenten +übergangsregierung +übergangsregierung +rajoelina +gegenüber +wochen +andauernde +erbitterte +machtkampf +menschen +gekostet +hunderte +wurden +verletzt +modernisierung +atomwaffen +umbauten +marine +russlands +präsident +medwedew +aufrüstung +begründung +versuche +präsenz +grenzen +landes +verstärken +anzeige +moskau +dmitrij +medwedew +begründet +bebaren +russischen +streitkräfte +sollten +massiv +gestärkt +atomwaffenarsenal +atomwaffenarsenal +modernisiert +werden +westliche +militärbündnis +versuche +präsenz +grenzen +auszubauen +präsident +deshalb +aufrüstung +marine +umfang +beginne +umfassende +umrüstung +heeres +flotte +ernstes +konfliktpotential +infrastruktur +kampfkraft +streitkräfte +strategischen +atomwaffen +internationalen +terrorismus +gefechtsbereitschaft +gefechtsbereitschaft +strategischen +atomwaffen +militärs +aktuellen +haushaltsprobleme +haushaltsprobleme +auswirkungen +regierung +streitkräfteetat +infolge +finanzkrise +zusammengestrichen +zusammengestrichen +weitere +kürzungen +ausgeschlossen +medwedews +vorgänger +wladimir +wiederholt +modernisierung +waffenarsenals +verkündet +umsetzung +ankündigungen +großteil +atomwaffen +sowjetzeiten +stimmung +streitkräften +rahmen +reform +offizierkorps +verkleinert +werden +trifolium +umfassende +pflanzengattung +pflanzengattung +unterfamilie +schmetterlingsblütler +schmetterlingsblütler +faboideae +pflanzenfamilie +pflanzenfamilie +hülsenfrüchtler +hülsenfrüchtler +fabaceae +gezählt +sprachgebrauch +allerdings +häufig +gattung +bezeichnet +sondern +nahverwandten +gattungen +schneckenklee +schneckenklee +medicago +steinklee +melilotus +taxonomisch +entfernten +gattung +sauerklee +oxalis +charakteristische +merkmale +gattung +dreifiedrige +blätter +vielblütige +kopfige +blütenstände +blütenstände +kontinenten +ausnahme +australiens +antarktikas +natürlich +verbreitet +australien +wurden +verschiedene +kleearten +menschen +eingeführt +landwirtschaft +werden +verschiedene +kleearten +futterpflanzen +verwendet +kleeanbau +europa +nordamerika +ökonomischer +bedeutung +europa +jahrhundert +christus +angebaut +fähigkeit +symbiose +knöllchenbakterien +rhizobiaceae +wurzeln +stickstoff +verbesserung +bodenfruchtbarkeit +bedeutend +kleeblatt +symbolik +vieler +kulturen +eingang +repräsentiert +dreiheit +beispiel +christentum +dreifaltigkeit +weiterhin +sommer +symbolisiert +vierblättrige +kleeblatt +glücksbringer +glücksbringer +XX diff --git a/compound-split/de/test.ref b/compound-split/de/test.ref new file mode 100644 index 00000000..4b3c7abc --- /dev/null +++ b/compound-split/de/test.ref @@ -0,0 +1,302 @@ +aktien gesellschaft +aktie gesellschaft +wiederaufnahme +tonband aufnahme +staats krise +staat krise +madagaskars +präsident +bittet +schlagworte +demonstration +putsch +macht kampf +zwischen +opposition +regierungs partei +regierung partei +spitzt +afrikanischen +botschaft +befürchtet +bürger krieg +mitglieder +oppositions partei +opposition partei +demonstrieren +putsch +madagaskars +präsidenten +ravalomanana +mitglieder +oppositions partei +opposition partei +demonstrieren +putsch +madagaskars +präsidenten +ravalomanana +bedrängte +präsident +wandte +öffentlichen +hilfe ruf +anhänger +forderte +regierungs sitz +regierung sitz +schützen +mitglieder +präsidenten garde +präsidenten garde +unbestätigten +medien berichten +medie berichten +begonnen +posten +verlassen +augen zeugen +auge zeugen +berichteten +gepanzerte +fahrzeuge +außen bezirken +haupt stadt +hauptstadt +antananarivo +botschafter +marquardt +nationalen +fernsehen +erklärt +steuere +bürger krieg +botschaft +familien +mitarbeiter +unbedingt +benötigt +werden +bürger +verlassen +landes +aufgefordert +deutsche +botschaft +dagegen +wollte +absprache +anderen +europäischen +vertretungen +zunächst +ausreise +empfehlung +regierung +angeschlagenen +staats präsidenten +staat präsidenten +ravalomanana +demokratie bewegung +selbst +ernannten +präsidenten +übergangs regierung +übergang regierung +rajoelina +gegenüber +wochen +andauernde +erbitterte +macht kampf +menschen +gekostet +hunderte +wurden +verletzt +modernisierung +atom waffen +umbauten +marine +russlands +präsident +medwedew +aufrüstung +begründung +versuche +präsenz +grenzen +landes +verstärken +anzeige +moskau +dmitrij +medwedew +begründet +bebaren +russischen +streit kräfte +sollten +massiv +gestärkt +atom waffen arsenal +atomwaffen arsenal +modernisiert +werden +westliche +militärbündnis +versuche +präsenz +grenzen +auszubauen +präsident +deshalb +aufrüstung +marine +umfang +beginne +umfassende +umrüstung +heeres +flotte +ernstes +konflikt potential +infrastruktur +kampf kraft +streit kräfte +strategischen +atom waffen +internationalen +terrorismus +gefechts bereitschaft +gefecht bereitschaft +strategischen +atomwaffen +militärs +aktuellen +haushalts probleme +haushalt probleme +auswirkungen +regierung +streit kräfte etat +infolge +finanz krise +zusammengestrichen +zusammen gestrichen +weitere +kürzungen +ausgeschlossen +medwedews +vorgänger +wladimir +wiederholt +modernisierung +waffen arsenals +verkündet +umsetzung +ankündigungen +groß teil +atom waffen +sowjet zeiten +stimmung +streit kräften +rahmen +reform +offizier korps +verkleinert +werden +trifolium +umfassende +pflanzen gattung +pflanze gattung +unterfamilie +schmetterlings blütler +schmetterling blütler +faboideae +pflanzen familie +pflanze familie +hülsen früchtler +hülse früchtler +fabaceae +gezählt +sprach gebrauch +allerdings +häufig +gattung +bezeichnet +sondern +nah verwandten +gattungen +schnecken klee +schnecke klee +medicago +stein klee +melilotus +taxonomisch +entfernten +gattung +sauer klee +oxalis +charakteristische +merkmale +gattung +drei fiedrige +blätter +viel blütige +kopfige +blüten stände +blüte stände +kontinenten +ausnahme +australiens +antarktikas +natürlich +verbreitet +australien +wurden +verschiedene +klee arten +menschen +eingeführt +landwirtschaft +werden +verschiedene +klee arten +futter pflanzen +verwendet +klee anbau +europa +nord amerika +ökonomischer +bedeutung +europa +jahrhundert +christus +angebaut +fähigkeit +symbiose +knöllchen bakterien +rhizobiaceae +wurzeln +stickstoff +verbesserung +boden fruchtbarkeit +bedeutend +klee blatt +symbolik +vieler +kulturen +eingang +repräsentiert +dreiheit +beispiel +christentum +dreifaltigkeit +weiterhin +sommer +symbolisiert +vier blättrige +klee blatt +glücks bringer +glück bringer +XX diff --git a/compound-split/de/weights.ptinit b/compound-split/de/weights.ptinit new file mode 100644 index 00000000..eaaa3899 --- /dev/null +++ b/compound-split/de/weights.ptinit @@ -0,0 +1,17 @@ +LettersSq 0 +LettersSqrt 0 +RevCharLM 0 +FugS 0 +FugN 0 +WordCount 0 +InDict 0 +Short 0 +Long 0 +OOV 0 +ShortRange 0 +HighFreq 0 +MedFreq 0 +Freq 0 +Bad 0 +FreqLen1 0 +FreqLen2 0 diff --git a/compound-split/de/weights.trained b/compound-split/de/weights.trained new file mode 100644 index 00000000..359e5cc7 --- /dev/null +++ b/compound-split/de/weights.trained @@ -0,0 +1,17 @@ +LettersSq -0.037643555390228831 +LettersSqrt 0.58198736272513085 +RevCharLM 0.45802141843469085 +FugS 0.26570690067173086 +FugN -0.70672252122442492 +WordCount 0.33774557030334018 +InDict 0.23339787529651213 +Short 0.60862824917301594 +Long -0.58675406875713121 +OOV 0.10434769500682411 +ShortRange -1.0221040223076261 +HighFreq -2.9803896632623825 +MedFreq 0.18811013582723696 +Freq -0.26933190242976746 +Bad -2.3217842031714113 +FreqLen1 -0.28996794292058575 +FreqLen2 -0.21944133928835977 diff --git a/compound-split/examples.de/infile.txt b/compound-split/examples.de/infile.txt new file mode 100644 index 00000000..461b79cc --- /dev/null +++ b/compound-split/examples.de/infile.txt @@ -0,0 +1,5 @@ +In China rühren über 70 Prozent der Emissionen von der Industrie her . +Allein die Stahlproduktion verschlingt 18 Prozent der Energieressourcen des Landes , also beinahe doppelt so viel wie die chinesischen Privathaushalte . +Die chemische Industrie verbraucht mehr Energie als der gesamte private Transport und die Aluminiumproduktion liefert sich bezüglich des Stromverbrauchs ein Wettrennen mit dem gewerblichen Sektor . +Im Hinblick auf die Ausarbeitung eines Klimaabkommens ist dieses Ungleichgewicht eine gute Nachricht . +Dadurch empfiehlt sich nämlich ein Rahmenwerk zur Senkung der Emissionen , in dem einerseits die Entwicklungserfordernisse der chinesischen Haushalte respektiert und andererseits die Bedenken amerikanischer Firmen hinsichtlich ihrer Wettbewerbsfähigkeit berücksichtigt werden . Überdies soll dem Prinzip der " gemeinsamen , aber differenzierten Verantwortlichkeit " in internationalen Verhandlungen Rechnung getragen werden . diff --git a/compound-split/examples.de/out.plf b/compound-split/examples.de/out.plf new file mode 100644 index 00000000..92759243 --- /dev/null +++ b/compound-split/examples.de/out.plf @@ -0,0 +1,5 @@ +((('in',0,1),),(('china',0,1),),(('rühren',-6.16944,1),),(('über',0,1),),(('70',0,1),),(('prozent',-6.68217,1),),(('der',0,1),),(('emissionen',-7.89028,1),),(('von',0,1),),(('der',0,1),),(('industrie',-6.09364,1),),(('her',0,1),),(('.',0,1),),) +((('allein',-3.91495,1),),(('die',0,1),),(('stahl',-4.84482,1),('stahlproduktion',-14.9301,2),),(('produktion',-6.91489,1),),(('verschlingt',-9.2711,1),),(('18',0,1),),(('prozent',-6.68217,1),),(('der',0,1),),(('energie',-4.82424,1),('energieressourcen',-17.0181,2),),(('ressourcen',-8.13465,1),),(('des',0,1),),(('landes',-4.28789,1),),((',',0,1),),(('also',0,1),),(('beinahe',-5.37566,1),),(('doppelt',-5.45983,1),),(('so',0,1),),(('viel',0,1),),(('wie',0,1),),(('die',0,1),),(('chinesischen',-8.37461,1),),(('privat',-5.0423,1),('privathaus',-8.79658,2),('privathaushalte',-14.0841,3),),(('haus',-3.8485,1),('haushalte',-7.03172,2),),(('halte',-4.22479,1),),(('.',0,1),),) +((('die',0,1),),(('chemische',-7.36213,1),),(('industrie',-6.09364,1),),(('verbraucht',-7.8929,1),),(('mehr',0,1),),(('energie',-4.82424,1),),(('als',0,1),),(('der',0,1),),(('gesamte',-4.95776,1),),(('private',-4.87323,1),),(('transport',-7.00338,1),),(('und',0,1),),(('die',0,1),),(('aluminium',-7.4594,1),('aluminiumproduktion',-20.756,2),),(('produktion',-6.91489,1),),(('liefert',-5.34918,1),),(('sich',0,1),),(('bezüglich',-6.61055,1),),(('des',0,1),),(('strom',-4.44409,1),('stromverbrauchs',-14.7863,2),),(('verbrauchs',-8.46139,1),),(('ein',0,1),),(('wett',-4.55825,1),('wettrennen',-8.76598,2),),(('rennen',-4.21027,1),),(('mit',0,1),),(('dem',0,1),),(('gewerblichen',-10.6038,1),),(('sektor',-5.04152,1),),(('.',0,1),),) +((('im',0,1),),(('hin',-3.51603,1),('hinblick',-5.50886,2),),(('blick',-3.81345,1),),(('auf',0,1),),(('die',0,1),),(('ausarbeitung',-10.6772,1),),(('eines',0,1),),(('klima',-4.48285,1),('klimaabkommens',-14.3163,2),),(('abkommens',-7.0171,1),),(('ist',0,1),),(('dieses',-3.51817,1),),(('ungleich',-6.61259,1),('ungleichgewicht',-13.88,2),),(('gewicht',-5.37248,1),),(('eine',0,1),),(('gute',0,1),),(('nachricht',-6.48686,1),),(('.',0,1),),) +((('dadurch',-4.52086,1),),(('empfiehlt',-6.75555,1),),(('sich',0,1),),(('nämlich',-4.37088,1),),(('ein',0,1),),(('rahmen',-4.04804,1),('rahmenwerk',-9.20648,2),),(('werk',-4.46254,1),),(('zur',0,1),),(('senkung',-5.67394,1),),(('der',0,1),),(('emissionen',-7.89028,1),),((',',0,1),),(('in',0,1),),(('dem',0,1),),(('einerseits',-7.42024,1),),(('die',0,1),),(('entwicklung',-8.19109,1),('entwicklungserfordernisse',-31.9035,2),),(('erfordernisse',-11.7189,1),),(('der',0,1),),(('chinesischen',-8.37461,1),),(('haus',-3.8485,1),('haushalte',-7.03172,2),),(('halte',-4.22479,1),),(('respektiert',-8.67605,1),),(('und',0,1),),(('andererseits',-9.42978,1),),(('die',0,1),),(('bedenken',-5.78487,1),),(('amerikanischer',-11.8507,1),),(('firmen',-4.37449,1),),(('hin',-3.53318,1),('hinsichtlich',-9.38401,2),),(('sichtlich',-7.2395,1),),(('ihrer',0,1),),(('wettbewerb',-7.19219,1),('wettbewerbs',-9.15771,1),('wettbewerbsfähigkeit',-19.6855,2),),(('fähigkeit',-7.11358,1),),(('berücksichtigt',-11.4689,1),),(('werden',-5.82189,1),),(('.',0,1),),(('überdies',-6.25032,1),),(('soll',0,1),),(('dem',0,1),),(('prinzip',-5.33438,1),),(('der',0,1),),(('"',0,1),),(('gemeinsamen',-8.11729,1),),((',',0,1),),(('aber',0,1),),(('differenzierten',-14.2111,1),),(('verantwortlichkeit',-17.6521,1),),(('"',0,1),),(('in',0,1),),(('inter',-4.9797,1),('internationalen',-11.8897,2),),(('nationalen',-6.82407,1),),(('verhandlungen',-9.88336,1),),(('rechnung',-5.95782,1),),(('getragen',-6.11886,1),),(('werden',-5.82189,1),),(('.',0,1),),) diff --git a/compound-split/examples.de/out.txt b/compound-split/examples.de/out.txt new file mode 100644 index 00000000..436fc8e9 --- /dev/null +++ b/compound-split/examples.de/out.txt @@ -0,0 +1,5 @@ +in china rühren über 70 prozent der emissionen von der industrie her . +allein die stahl produktion verschlingt 18 prozent der energie ressourcen des landes , also beinahe doppelt so viel wie die chinesischen privat haushalte . +die chemische industrie verbraucht mehr energie als der gesamte private transport und die aluminium produktion liefert sich bezüglich des strom verbrauchs ein wettrennen mit dem gewerblichen sektor . +im hinblick auf die ausarbeitung eines klima abkommens ist dieses ungleich gewicht eine gute nachricht . +dadurch empfiehlt sich nämlich ein rahmen werk zur senkung der emissionen , in dem einerseits die entwicklung erfordernisse der chinesischen haushalte respektiert und andererseits die bedenken amerikanischer firmen hinsichtlich ihrer wettbewerb fähigkeit berücksichtigt werden . überdies soll dem prinzip der " gemeinsamen , aber differenzierten verantwortlichkeit " in inter nationalen verhandlungen rechnung getragen werden . diff --git a/compound-split/hu/charlm.rev.5gm.hu.lm.gz b/compound-split/hu/charlm.rev.5gm.hu.lm.gz new file mode 100644 index 00000000..64b0d171 Binary files /dev/null and b/compound-split/hu/charlm.rev.5gm.hu.lm.gz differ diff --git a/compound-split/hu/large_dict.hu.gz b/compound-split/hu/large_dict.hu.gz new file mode 100644 index 00000000..172832b2 Binary files /dev/null and b/compound-split/hu/large_dict.hu.gz differ diff --git a/compound-split/lattice-stats.py b/compound-split/lattice-stats.py new file mode 100755 index 00000000..424c2bfe --- /dev/null +++ b/compound-split/lattice-stats.py @@ -0,0 +1,47 @@ +#!/usr/bin/python + +import sys +import optparse +from heapq import heappush, heappop +import math + +lc = 0 +maxdepth = -1 +total_depth = 0 +total_cols = 0 +total_paths = 0.0 + +optparser = optparse.OptionParser() +optparser.add_option("-k", "--k-best", dest="k", type='int', help="number of best paths", default=1) +(opts,args) = optparser.parse_args() +n = opts.k + +if len(args)==0: args=(sys.stdin) + +for fname in args: + if (type(fname) == type('')): + f = open(fname, "r") + else: + f = fname + lc = 0 + nodes = 0 + for line in f: + lc+=1 + cn = eval(line) + if (len(cn[0]) == 0): + continue + + paths = 1.0 + for col in cn: + depth=len(col) + paths*=float(depth) + nodes += depth + total_depth += depth + total_cols += 1 + total_paths+=paths + avg=float(total_depth)/float(lc) + print "averagePaths=%g" % (total_paths / float(lc)) + print "averageNodes=%f" % (float(total_depth) / float(lc)) + print "totalPaths=%f" % (float(total_depth)) + print "Nodes/Len=%f" % (float(total_depth)/float(total_cols)) + print "averageLen=%f" % (float(total_cols) / float(lc)) diff --git a/configure.ac b/configure.ac new file mode 100644 index 00000000..f371b3c3 --- /dev/null +++ b/configure.ac @@ -0,0 +1,73 @@ +AC_INIT +AM_INIT_AUTOMAKE(cdec,0.1) +AC_CONFIG_HEADERS(config.h) +AC_PROG_LIBTOOL +AC_PROG_LEX +AC_PROG_CC +AC_PROG_CXX +AC_LANG_CPLUSPLUS +BOOST_REQUIRE +BOOST_PROGRAM_OPTIONS +CPPFLAGS="$CPPFLAGS $BOOST_CPPFLAGS" +LDFLAGS="$LDFLAGS $BOOST_PROGRAM_OPTIONS_LDFLAGS" +LIBS="$LIBS $BOOST_PROGRAM_OPTIONS_LIBS" + +AC_CHECK_HEADER(boost/math/special_functions/digamma.hpp, + [AC_DEFINE([HAVE_BOOST_DIGAMMA], [], [flag for boost::math::digamma])]) + +AC_PROG_INSTALL +GTEST_LIB_CHECK + +AM_CONDITIONAL([SRI_LM], false) +AC_ARG_WITH(srilm, + [AC_HELP_STRING([--with-srilm=PATH], [(optional) path to SRI's LM toolkit])], + [with_srilm=$withval], + [with_srilm=no] + ) + +AM_CONDITIONAL([RAND_LM], false) +AC_ARG_WITH(randlm, + [AC_HELP_STRING([--with-randlm=PATH], [(optional) path to RandLM toolkit])], + [with_randlm=$withval], + [with_randlm=no] + ) + +if test "x$with_srilm" != 'xno' +then + SAVE_CPPFLAGS="$CPPFLAGS" + CPPFLAGS="$CPPFLAGS -I${with_srilm}/include" + + AC_CHECK_HEADER(Ngram.h, + [AC_DEFINE([HAVE_SRILM], [], [flag for SRILM])], + [AC_MSG_ERROR([Cannot find SRILM!])]) + + LIB_SRILM="-loolm -ldstruct -lmisc" + # ROOT/lib/i686-m64/liboolm.a + # ROOT/lib/i686-m64/libdstruct.a + # ROOT/lib/i686-m64/libmisc.a + MY_ARCH=`${with_srilm}/sbin/machine-type` + LDFLAGS="$LDFLAGS -L${with_srilm}/lib/${MY_ARCH}" + LIBS="$LIBS $LIB_SRILM" + FMTLIBS="$FMTLIBS liboolm.a libdstruct.a libmisc.a" + AM_CONDITIONAL([SRI_LM], true) +fi + +if test "x$with_randlm" != 'xno' +then + SAVE_CPPFLAGS="$CPPFLAGS" + CPPFLAGS="$CPPFLAGS -I${with_randlm}/include" + + AC_CHECK_HEADER(RandLM.h, + [AC_DEFINE([HAVE_RANDLM], [], [flag for RandLM])], + [AC_MSG_ERROR([Cannot find RandLM!])]) + + + LIB_RANDLM="-lrandlm" + LDFLAGS="$LDFLAGS -L${with_randlm}/lib" + LIBS="$LIBS $LIB_RANDLM" + FMTLIBS="$FMTLIBS librandlm.a" + AM_CONDITIONAL([RAND_LM], true) +fi + +AC_OUTPUT(Makefile extools/Makefile decoder/Makefile training/Makefile vest/Makefile) + diff --git a/decoder/JSON_parser.c b/decoder/JSON_parser.c new file mode 100644 index 00000000..175b7cc9 --- /dev/null +++ b/decoder/JSON_parser.c @@ -0,0 +1,1012 @@ +/* JSON_parser.c */ + +/* 2007-08-24 */ + +/* +Copyright (c) 2005 JSON.org + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +The Software shall be used for Good, not Evil. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +*/ + +/* + Callbacks, comments, Unicode handling by Jean Gressmann (jean@0x42.de), 2007-2009. + + For the added features the license above applies also. + + Changelog: + 2009-05-17 + Incorporated benrudiak@googlemail.com fix for UTF16 decoding. + + 2009-05-14 + Fixed float parsing bug related to a locale being set that didn't + use '.' as decimal point character (charles@transmissionbt.com). + + 2008-10-14 + Renamed states.IN to states.IT to avoid name clash which IN macro + defined in windef.h (alexey.pelykh@gmail.com) + + 2008-07-19 + Removed some duplicate code & debugging variable (charles@transmissionbt.com) + + 2008-05-28 + Made JSON_value structure ansi C compliant. This bug was report by + trisk@acm.jhu.edu + + 2008-05-20 + Fixed bug reported by charles@transmissionbt.com where the switching + from static to dynamic parse buffer did not copy the static parse + buffer's content. +*/ + + + +#include +#include +#include +#include +#include +#include +#include +#include + +#include "JSON_parser.h" + +#ifdef _MSC_VER +# if _MSC_VER >= 1400 /* Visual Studio 2005 and up */ +# pragma warning(disable:4996) // unsecure sscanf +# endif +#endif + + +#define true 1 +#define false 0 +#define __ -1 /* the universal error code */ + +/* values chosen so that the object size is approx equal to one page (4K) */ +#ifndef JSON_PARSER_STACK_SIZE +# define JSON_PARSER_STACK_SIZE 128 +#endif + +#ifndef JSON_PARSER_PARSE_BUFFER_SIZE +# define JSON_PARSER_PARSE_BUFFER_SIZE 3500 +#endif + +typedef unsigned short UTF16; + +struct JSON_parser_struct { + JSON_parser_callback callback; + void* ctx; + signed char state, before_comment_state, type, escaped, comment, allow_comments, handle_floats_manually; + UTF16 utf16_high_surrogate; + long depth; + long top; + signed char* stack; + long stack_capacity; + char decimal_point; + char* parse_buffer; + size_t parse_buffer_capacity; + size_t parse_buffer_count; + size_t comment_begin_offset; + signed char static_stack[JSON_PARSER_STACK_SIZE]; + char static_parse_buffer[JSON_PARSER_PARSE_BUFFER_SIZE]; +}; + +#define COUNTOF(x) (sizeof(x)/sizeof(x[0])) + +/* + Characters are mapped into these character classes. This allows for + a significant reduction in the size of the state transition table. +*/ + + + +enum classes { + C_SPACE, /* space */ + C_WHITE, /* other whitespace */ + C_LCURB, /* { */ + C_RCURB, /* } */ + C_LSQRB, /* [ */ + C_RSQRB, /* ] */ + C_COLON, /* : */ + C_COMMA, /* , */ + C_QUOTE, /* " */ + C_BACKS, /* \ */ + C_SLASH, /* / */ + C_PLUS, /* + */ + C_MINUS, /* - */ + C_POINT, /* . */ + C_ZERO , /* 0 */ + C_DIGIT, /* 123456789 */ + C_LOW_A, /* a */ + C_LOW_B, /* b */ + C_LOW_C, /* c */ + C_LOW_D, /* d */ + C_LOW_E, /* e */ + C_LOW_F, /* f */ + C_LOW_L, /* l */ + C_LOW_N, /* n */ + C_LOW_R, /* r */ + C_LOW_S, /* s */ + C_LOW_T, /* t */ + C_LOW_U, /* u */ + C_ABCDF, /* ABCDF */ + C_E, /* E */ + C_ETC, /* everything else */ + C_STAR, /* * */ + NR_CLASSES +}; + +static int ascii_class[128] = { +/* + This array maps the 128 ASCII characters into character classes. + The remaining Unicode characters should be mapped to C_ETC. + Non-whitespace control characters are errors. +*/ + __, __, __, __, __, __, __, __, + __, C_WHITE, C_WHITE, __, __, C_WHITE, __, __, + __, __, __, __, __, __, __, __, + __, __, __, __, __, __, __, __, + + C_SPACE, C_ETC, C_QUOTE, C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, + C_ETC, C_ETC, C_STAR, C_PLUS, C_COMMA, C_MINUS, C_POINT, C_SLASH, + C_ZERO, C_DIGIT, C_DIGIT, C_DIGIT, C_DIGIT, C_DIGIT, C_DIGIT, C_DIGIT, + C_DIGIT, C_DIGIT, C_COLON, C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, + + C_ETC, C_ABCDF, C_ABCDF, C_ABCDF, C_ABCDF, C_E, C_ABCDF, C_ETC, + C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, + C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, C_ETC, + C_ETC, C_ETC, C_ETC, C_LSQRB, C_BACKS, C_RSQRB, C_ETC, C_ETC, + + C_ETC, C_LOW_A, C_LOW_B, C_LOW_C, C_LOW_D, C_LOW_E, C_LOW_F, C_ETC, + C_ETC, C_ETC, C_ETC, C_ETC, C_LOW_L, C_ETC, C_LOW_N, C_ETC, + C_ETC, C_ETC, C_LOW_R, C_LOW_S, C_LOW_T, C_LOW_U, C_ETC, C_ETC, + C_ETC, C_ETC, C_ETC, C_LCURB, C_ETC, C_RCURB, C_ETC, C_ETC +}; + + +/* + The state codes. +*/ +enum states { + GO, /* start */ + OK, /* ok */ + OB, /* object */ + KE, /* key */ + CO, /* colon */ + VA, /* value */ + AR, /* array */ + ST, /* string */ + ES, /* escape */ + U1, /* u1 */ + U2, /* u2 */ + U3, /* u3 */ + U4, /* u4 */ + MI, /* minus */ + ZE, /* zero */ + IT, /* integer */ + FR, /* fraction */ + E1, /* e */ + E2, /* ex */ + E3, /* exp */ + T1, /* tr */ + T2, /* tru */ + T3, /* true */ + F1, /* fa */ + F2, /* fal */ + F3, /* fals */ + F4, /* false */ + N1, /* nu */ + N2, /* nul */ + N3, /* null */ + C1, /* / */ + C2, /* / * */ + C3, /* * */ + FX, /* *.* *eE* */ + D1, /* second UTF-16 character decoding started by \ */ + D2, /* second UTF-16 character proceeded by u */ + NR_STATES +}; + +enum actions +{ + CB = -10, /* comment begin */ + CE = -11, /* comment end */ + FA = -12, /* false */ + TR = -13, /* false */ + NU = -14, /* null */ + DE = -15, /* double detected by exponent e E */ + DF = -16, /* double detected by fraction . */ + SB = -17, /* string begin */ + MX = -18, /* integer detected by minus */ + ZX = -19, /* integer detected by zero */ + IX = -20, /* integer detected by 1-9 */ + EX = -21, /* next char is escaped */ + UC = -22 /* Unicode character read */ +}; + + +static int state_transition_table[NR_STATES][NR_CLASSES] = { +/* + The state transition table takes the current state and the current symbol, + and returns either a new state or an action. An action is represented as a + negative number. A JSON text is accepted if at the end of the text the + state is OK and if the mode is MODE_DONE. + + white 1-9 ABCDF etc + space | { } [ ] : , " \ / + - . 0 | a b c d e f l n r s t u | E | * */ +/*start GO*/ {GO,GO,-6,__,-5,__,__,__,__,__,CB,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*ok OK*/ {OK,OK,__,-8,__,-7,__,-3,__,__,CB,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*object OB*/ {OB,OB,__,-9,__,__,__,__,SB,__,CB,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*key KE*/ {KE,KE,__,__,__,__,__,__,SB,__,CB,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*colon CO*/ {CO,CO,__,__,__,__,-2,__,__,__,CB,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*value VA*/ {VA,VA,-6,__,-5,__,__,__,SB,__,CB,__,MX,__,ZX,IX,__,__,__,__,__,FA,__,NU,__,__,TR,__,__,__,__,__}, +/*array AR*/ {AR,AR,-6,__,-5,-7,__,__,SB,__,CB,__,MX,__,ZX,IX,__,__,__,__,__,FA,__,NU,__,__,TR,__,__,__,__,__}, +/*string ST*/ {ST,__,ST,ST,ST,ST,ST,ST,-4,EX,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST,ST}, +/*escape ES*/ {__,__,__,__,__,__,__,__,ST,ST,ST,__,__,__,__,__,__,ST,__,__,__,ST,__,ST,ST,__,ST,U1,__,__,__,__}, +/*u1 U1*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,U2,U2,U2,U2,U2,U2,U2,U2,__,__,__,__,__,__,U2,U2,__,__}, +/*u2 U2*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,U3,U3,U3,U3,U3,U3,U3,U3,__,__,__,__,__,__,U3,U3,__,__}, +/*u3 U3*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,U4,U4,U4,U4,U4,U4,U4,U4,__,__,__,__,__,__,U4,U4,__,__}, +/*u4 U4*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,UC,UC,UC,UC,UC,UC,UC,UC,__,__,__,__,__,__,UC,UC,__,__}, +/*minus MI*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,ZE,IT,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*zero ZE*/ {OK,OK,__,-8,__,-7,__,-3,__,__,CB,__,__,DF,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*int IT*/ {OK,OK,__,-8,__,-7,__,-3,__,__,CB,__,__,DF,IT,IT,__,__,__,__,DE,__,__,__,__,__,__,__,__,DE,__,__}, +/*frac FR*/ {OK,OK,__,-8,__,-7,__,-3,__,__,CB,__,__,__,FR,FR,__,__,__,__,E1,__,__,__,__,__,__,__,__,E1,__,__}, +/*e E1*/ {__,__,__,__,__,__,__,__,__,__,__,E2,E2,__,E3,E3,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*ex E2*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,E3,E3,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*exp E3*/ {OK,OK,__,-8,__,-7,__,-3,__,__,__,__,__,__,E3,E3,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*tr T1*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,T2,__,__,__,__,__,__,__}, +/*tru T2*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,T3,__,__,__,__}, +/*true T3*/ {__,__,__,__,__,__,__,__,__,__,CB,__,__,__,__,__,__,__,__,__,OK,__,__,__,__,__,__,__,__,__,__,__}, +/*fa F1*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,F2,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*fal F2*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,F3,__,__,__,__,__,__,__,__,__}, +/*fals F3*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,F4,__,__,__,__,__,__}, +/*false F4*/ {__,__,__,__,__,__,__,__,__,__,CB,__,__,__,__,__,__,__,__,__,OK,__,__,__,__,__,__,__,__,__,__,__}, +/*nu N1*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,N2,__,__,__,__}, +/*nul N2*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,N3,__,__,__,__,__,__,__,__,__}, +/*null N3*/ {__,__,__,__,__,__,__,__,__,__,CB,__,__,__,__,__,__,__,__,__,__,__,OK,__,__,__,__,__,__,__,__,__}, +/*/ C1*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,C2}, +/*/* C2*/ {C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C3}, +/** C3*/ {C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,CE,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C2,C3}, +/*_. FX*/ {OK,OK,__,-8,__,-7,__,-3,__,__,__,__,__,__,FR,FR,__,__,__,__,E1,__,__,__,__,__,__,__,__,E1,__,__}, +/*\ D1*/ {__,__,__,__,__,__,__,__,__,D2,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__}, +/*\ D2*/ {__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,__,U1,__,__,__,__}, +}; + + +/* + These modes can be pushed on the stack. +*/ +enum modes { + MODE_ARRAY = 1, + MODE_DONE = 2, + MODE_KEY = 3, + MODE_OBJECT = 4 +}; + +static int +push(JSON_parser jc, int mode) +{ +/* + Push a mode onto the stack. Return false if there is overflow. +*/ + jc->top += 1; + if (jc->depth < 0) { + if (jc->top >= jc->stack_capacity) { + size_t bytes_to_allocate; + jc->stack_capacity *= 2; + bytes_to_allocate = jc->stack_capacity * sizeof(jc->static_stack[0]); + if (jc->stack == &jc->static_stack[0]) { + jc->stack = (signed char*)malloc(bytes_to_allocate); + memcpy(jc->stack, jc->static_stack, sizeof(jc->static_stack)); + } else { + jc->stack = (signed char*)realloc(jc->stack, bytes_to_allocate); + } + } + } else { + if (jc->top >= jc->depth) { + return false; + } + } + + jc->stack[jc->top] = mode; + return true; +} + + +static int +pop(JSON_parser jc, int mode) +{ +/* + Pop the stack, assuring that the current mode matches the expectation. + Return false if there is underflow or if the modes mismatch. +*/ + if (jc->top < 0 || jc->stack[jc->top] != mode) { + return false; + } + jc->top -= 1; + return true; +} + + +#define parse_buffer_clear(jc) \ + do {\ + jc->parse_buffer_count = 0;\ + jc->parse_buffer[0] = 0;\ + } while (0) + +#define parse_buffer_pop_back_char(jc)\ + do {\ + assert(jc->parse_buffer_count >= 1);\ + --jc->parse_buffer_count;\ + jc->parse_buffer[jc->parse_buffer_count] = 0;\ + } while (0) + +void delete_JSON_parser(JSON_parser jc) +{ + if (jc) { + if (jc->stack != &jc->static_stack[0]) { + free((void*)jc->stack); + } + if (jc->parse_buffer != &jc->static_parse_buffer[0]) { + free((void*)jc->parse_buffer); + } + free((void*)jc); + } +} + + +JSON_parser +new_JSON_parser(JSON_config* config) +{ +/* + new_JSON_parser starts the checking process by constructing a JSON_parser + object. It takes a depth parameter that restricts the level of maximum + nesting. + + To continue the process, call JSON_parser_char for each character in the + JSON text, and then call JSON_parser_done to obtain the final result. + These functions are fully reentrant. +*/ + + int depth = 0; + JSON_config default_config; + + JSON_parser jc = (JSON_parser)malloc(sizeof(struct JSON_parser_struct)); + + memset(jc, 0, sizeof(*jc)); + + + /* initialize configuration */ + init_JSON_config(&default_config); + + /* set to default configuration if none was provided */ + if (config == NULL) { + config = &default_config; + } + + depth = config->depth; + + /* We need to be able to push at least one object */ + if (depth == 0) { + depth = 1; + } + + jc->state = GO; + jc->top = -1; + + /* Do we want non-bound stack? */ + if (depth > 0) { + jc->stack_capacity = depth; + jc->depth = depth; + if (depth <= (int)COUNTOF(jc->static_stack)) { + jc->stack = &jc->static_stack[0]; + } else { + jc->stack = (signed char*)malloc(jc->stack_capacity * sizeof(jc->static_stack[0])); + } + } else { + jc->stack_capacity = COUNTOF(jc->static_stack); + jc->depth = -1; + jc->stack = &jc->static_stack[0]; + } + + /* set parser to start */ + push(jc, MODE_DONE); + + /* set up the parse buffer */ + jc->parse_buffer = &jc->static_parse_buffer[0]; + jc->parse_buffer_capacity = COUNTOF(jc->static_parse_buffer); + parse_buffer_clear(jc); + + /* set up callback, comment & float handling */ + jc->callback = config->callback; + jc->ctx = config->callback_ctx; + jc->allow_comments = config->allow_comments != 0; + jc->handle_floats_manually = config->handle_floats_manually != 0; + + /* set up decimal point */ + jc->decimal_point = *localeconv()->decimal_point; + + return jc; +} + +static void grow_parse_buffer(JSON_parser jc) +{ + size_t bytes_to_allocate; + jc->parse_buffer_capacity *= 2; + bytes_to_allocate = jc->parse_buffer_capacity * sizeof(jc->parse_buffer[0]); + if (jc->parse_buffer == &jc->static_parse_buffer[0]) { + jc->parse_buffer = (char*)malloc(bytes_to_allocate); + memcpy(jc->parse_buffer, jc->static_parse_buffer, jc->parse_buffer_count); + } else { + jc->parse_buffer = (char*)realloc(jc->parse_buffer, bytes_to_allocate); + } +} + +#define parse_buffer_push_back_char(jc, c)\ + do {\ + if (jc->parse_buffer_count + 1 >= jc->parse_buffer_capacity) grow_parse_buffer(jc);\ + jc->parse_buffer[jc->parse_buffer_count++] = c;\ + jc->parse_buffer[jc->parse_buffer_count] = 0;\ + } while (0) + +#define assert_is_non_container_type(jc) \ + assert( \ + jc->type == JSON_T_NULL || \ + jc->type == JSON_T_FALSE || \ + jc->type == JSON_T_TRUE || \ + jc->type == JSON_T_FLOAT || \ + jc->type == JSON_T_INTEGER || \ + jc->type == JSON_T_STRING) + + +static int parse_parse_buffer(JSON_parser jc) +{ + if (jc->callback) { + JSON_value value, *arg = NULL; + + if (jc->type != JSON_T_NONE) { + assert_is_non_container_type(jc); + + switch(jc->type) { + case JSON_T_FLOAT: + arg = &value; + if (jc->handle_floats_manually) { + value.vu.str.value = jc->parse_buffer; + value.vu.str.length = jc->parse_buffer_count; + } else { + /*sscanf(jc->parse_buffer, "%Lf", &value.vu.float_value);*/ + + /* not checking with end pointer b/c there may be trailing ws */ + value.vu.float_value = strtold(jc->parse_buffer, NULL); + } + break; + case JSON_T_INTEGER: + arg = &value; + sscanf(jc->parse_buffer, JSON_PARSER_INTEGER_SSCANF_TOKEN, &value.vu.integer_value); + break; + case JSON_T_STRING: + arg = &value; + value.vu.str.value = jc->parse_buffer; + value.vu.str.length = jc->parse_buffer_count; + break; + } + + if (!(*jc->callback)(jc->ctx, jc->type, arg)) { + return false; + } + } + } + + parse_buffer_clear(jc); + + return true; +} + +#define IS_HIGH_SURROGATE(uc) (((uc) & 0xFC00) == 0xD800) +#define IS_LOW_SURROGATE(uc) (((uc) & 0xFC00) == 0xDC00) +#define DECODE_SURROGATE_PAIR(hi,lo) ((((hi) & 0x3FF) << 10) + ((lo) & 0x3FF) + 0x10000) +static unsigned char utf8_lead_bits[4] = { 0x00, 0xC0, 0xE0, 0xF0 }; + +static int decode_unicode_char(JSON_parser jc) +{ + int i; + unsigned uc = 0; + char* p; + int trail_bytes; + + assert(jc->parse_buffer_count >= 6); + + p = &jc->parse_buffer[jc->parse_buffer_count - 4]; + + for (i = 12; i >= 0; i -= 4, ++p) { + unsigned x = *p; + + if (x >= 'a') { + x -= ('a' - 10); + } else if (x >= 'A') { + x -= ('A' - 10); + } else { + x &= ~0x30u; + } + + assert(x < 16); + + uc |= x << i; + } + + /* clear UTF-16 char from buffer */ + jc->parse_buffer_count -= 6; + jc->parse_buffer[jc->parse_buffer_count] = 0; + + /* attempt decoding ... */ + if (jc->utf16_high_surrogate) { + if (IS_LOW_SURROGATE(uc)) { + uc = DECODE_SURROGATE_PAIR(jc->utf16_high_surrogate, uc); + trail_bytes = 3; + jc->utf16_high_surrogate = 0; + } else { + /* high surrogate without a following low surrogate */ + return false; + } + } else { + if (uc < 0x80) { + trail_bytes = 0; + } else if (uc < 0x800) { + trail_bytes = 1; + } else if (IS_HIGH_SURROGATE(uc)) { + /* save the high surrogate and wait for the low surrogate */ + jc->utf16_high_surrogate = uc; + return true; + } else if (IS_LOW_SURROGATE(uc)) { + /* low surrogate without a preceding high surrogate */ + return false; + } else { + trail_bytes = 2; + } + } + + jc->parse_buffer[jc->parse_buffer_count++] = (char) ((uc >> (trail_bytes * 6)) | utf8_lead_bits[trail_bytes]); + + for (i = trail_bytes * 6 - 6; i >= 0; i -= 6) { + jc->parse_buffer[jc->parse_buffer_count++] = (char) (((uc >> i) & 0x3F) | 0x80); + } + + jc->parse_buffer[jc->parse_buffer_count] = 0; + + return true; +} + +static int add_escaped_char_to_parse_buffer(JSON_parser jc, int next_char) +{ + jc->escaped = 0; + /* remove the backslash */ + parse_buffer_pop_back_char(jc); + switch(next_char) { + case 'b': + parse_buffer_push_back_char(jc, '\b'); + break; + case 'f': + parse_buffer_push_back_char(jc, '\f'); + break; + case 'n': + parse_buffer_push_back_char(jc, '\n'); + break; + case 'r': + parse_buffer_push_back_char(jc, '\r'); + break; + case 't': + parse_buffer_push_back_char(jc, '\t'); + break; + case '"': + parse_buffer_push_back_char(jc, '"'); + break; + case '\\': + parse_buffer_push_back_char(jc, '\\'); + break; + case '/': + parse_buffer_push_back_char(jc, '/'); + break; + case 'u': + parse_buffer_push_back_char(jc, '\\'); + parse_buffer_push_back_char(jc, 'u'); + break; + default: + return false; + } + + return true; +} + +#define add_char_to_parse_buffer(jc, next_char, next_class) \ + do { \ + if (jc->escaped) { \ + if (!add_escaped_char_to_parse_buffer(jc, next_char)) \ + return false; \ + } else if (!jc->comment) { \ + if ((jc->type != JSON_T_NONE) | !((next_class == C_SPACE) | (next_class == C_WHITE)) /* non-white-space */) { \ + parse_buffer_push_back_char(jc, (char)next_char); \ + } \ + } \ + } while (0) + + +#define assert_type_isnt_string_null_or_bool(jc) \ + assert(jc->type != JSON_T_FALSE); \ + assert(jc->type != JSON_T_TRUE); \ + assert(jc->type != JSON_T_NULL); \ + assert(jc->type != JSON_T_STRING) + + +int +JSON_parser_char(JSON_parser jc, int next_char) +{ +/* + After calling new_JSON_parser, call this function for each character (or + partial character) in your JSON text. It can accept UTF-8, UTF-16, or + UTF-32. It returns true if things are looking ok so far. If it rejects the + text, it returns false. +*/ + int next_class, next_state; + +/* + Determine the character's class. +*/ + if (next_char < 0) { + return false; + } + if (next_char >= 128) { + next_class = C_ETC; + } else { + next_class = ascii_class[next_char]; + if (next_class <= __) { + return false; + } + } + + add_char_to_parse_buffer(jc, next_char, next_class); + +/* + Get the next state from the state transition table. +*/ + next_state = state_transition_table[jc->state][next_class]; + if (next_state >= 0) { +/* + Change the state. +*/ + jc->state = next_state; + } else { +/* + Or perform one of the actions. +*/ + switch (next_state) { +/* Unicode character */ + case UC: + if(!decode_unicode_char(jc)) { + return false; + } + /* check if we need to read a second UTF-16 char */ + if (jc->utf16_high_surrogate) { + jc->state = D1; + } else { + jc->state = ST; + } + break; +/* escaped char */ + case EX: + jc->escaped = 1; + jc->state = ES; + break; +/* integer detected by minus */ + case MX: + jc->type = JSON_T_INTEGER; + jc->state = MI; + break; +/* integer detected by zero */ + case ZX: + jc->type = JSON_T_INTEGER; + jc->state = ZE; + break; +/* integer detected by 1-9 */ + case IX: + jc->type = JSON_T_INTEGER; + jc->state = IT; + break; + +/* floating point number detected by exponent*/ + case DE: + assert_type_isnt_string_null_or_bool(jc); + jc->type = JSON_T_FLOAT; + jc->state = E1; + break; + +/* floating point number detected by fraction */ + case DF: + assert_type_isnt_string_null_or_bool(jc); + if (!jc->handle_floats_manually) { +/* + Some versions of strtod (which underlies sscanf) don't support converting + C-locale formated floating point values. +*/ + assert(jc->parse_buffer[jc->parse_buffer_count-1] == '.'); + jc->parse_buffer[jc->parse_buffer_count-1] = jc->decimal_point; + } + jc->type = JSON_T_FLOAT; + jc->state = FX; + break; +/* string begin " */ + case SB: + parse_buffer_clear(jc); + assert(jc->type == JSON_T_NONE); + jc->type = JSON_T_STRING; + jc->state = ST; + break; + +/* n */ + case NU: + assert(jc->type == JSON_T_NONE); + jc->type = JSON_T_NULL; + jc->state = N1; + break; +/* f */ + case FA: + assert(jc->type == JSON_T_NONE); + jc->type = JSON_T_FALSE; + jc->state = F1; + break; +/* t */ + case TR: + assert(jc->type == JSON_T_NONE); + jc->type = JSON_T_TRUE; + jc->state = T1; + break; + +/* closing comment */ + case CE: + jc->comment = 0; + assert(jc->parse_buffer_count == 0); + assert(jc->type == JSON_T_NONE); + jc->state = jc->before_comment_state; + break; + +/* opening comment */ + case CB: + if (!jc->allow_comments) { + return false; + } + parse_buffer_pop_back_char(jc); + if (!parse_parse_buffer(jc)) { + return false; + } + assert(jc->parse_buffer_count == 0); + assert(jc->type != JSON_T_STRING); + switch (jc->stack[jc->top]) { + case MODE_ARRAY: + case MODE_OBJECT: + switch(jc->state) { + case VA: + case AR: + jc->before_comment_state = jc->state; + break; + default: + jc->before_comment_state = OK; + break; + } + break; + default: + jc->before_comment_state = jc->state; + break; + } + jc->type = JSON_T_NONE; + jc->state = C1; + jc->comment = 1; + break; +/* empty } */ + case -9: + parse_buffer_clear(jc); + if (jc->callback && !(*jc->callback)(jc->ctx, JSON_T_OBJECT_END, NULL)) { + return false; + } + if (!pop(jc, MODE_KEY)) { + return false; + } + jc->state = OK; + break; + +/* } */ case -8: + parse_buffer_pop_back_char(jc); + if (!parse_parse_buffer(jc)) { + return false; + } + if (jc->callback && !(*jc->callback)(jc->ctx, JSON_T_OBJECT_END, NULL)) { + return false; + } + if (!pop(jc, MODE_OBJECT)) { + return false; + } + jc->type = JSON_T_NONE; + jc->state = OK; + break; + +/* ] */ case -7: + parse_buffer_pop_back_char(jc); + if (!parse_parse_buffer(jc)) { + return false; + } + if (jc->callback && !(*jc->callback)(jc->ctx, JSON_T_ARRAY_END, NULL)) { + return false; + } + if (!pop(jc, MODE_ARRAY)) { + return false; + } + + jc->type = JSON_T_NONE; + jc->state = OK; + break; + +/* { */ case -6: + parse_buffer_pop_back_char(jc); + if (jc->callback && !(*jc->callback)(jc->ctx, JSON_T_OBJECT_BEGIN, NULL)) { + return false; + } + if (!push(jc, MODE_KEY)) { + return false; + } + assert(jc->type == JSON_T_NONE); + jc->state = OB; + break; + +/* [ */ case -5: + parse_buffer_pop_back_char(jc); + if (jc->callback && !(*jc->callback)(jc->ctx, JSON_T_ARRAY_BEGIN, NULL)) { + return false; + } + if (!push(jc, MODE_ARRAY)) { + return false; + } + assert(jc->type == JSON_T_NONE); + jc->state = AR; + break; + +/* string end " */ case -4: + parse_buffer_pop_back_char(jc); + switch (jc->stack[jc->top]) { + case MODE_KEY: + assert(jc->type == JSON_T_STRING); + jc->type = JSON_T_NONE; + jc->state = CO; + + if (jc->callback) { + JSON_value value; + value.vu.str.value = jc->parse_buffer; + value.vu.str.length = jc->parse_buffer_count; + if (!(*jc->callback)(jc->ctx, JSON_T_KEY, &value)) { + return false; + } + } + parse_buffer_clear(jc); + break; + case MODE_ARRAY: + case MODE_OBJECT: + assert(jc->type == JSON_T_STRING); + if (!parse_parse_buffer(jc)) { + return false; + } + jc->type = JSON_T_NONE; + jc->state = OK; + break; + default: + return false; + } + break; + +/* , */ case -3: + parse_buffer_pop_back_char(jc); + if (!parse_parse_buffer(jc)) { + return false; + } + switch (jc->stack[jc->top]) { + case MODE_OBJECT: +/* + A comma causes a flip from object mode to key mode. +*/ + if (!pop(jc, MODE_OBJECT) || !push(jc, MODE_KEY)) { + return false; + } + assert(jc->type != JSON_T_STRING); + jc->type = JSON_T_NONE; + jc->state = KE; + break; + case MODE_ARRAY: + assert(jc->type != JSON_T_STRING); + jc->type = JSON_T_NONE; + jc->state = VA; + break; + default: + return false; + } + break; + +/* : */ case -2: +/* + A colon causes a flip from key mode to object mode. +*/ + parse_buffer_pop_back_char(jc); + if (!pop(jc, MODE_KEY) || !push(jc, MODE_OBJECT)) { + return false; + } + assert(jc->type == JSON_T_NONE); + jc->state = VA; + break; +/* + Bad action. +*/ + default: + return false; + } + } + return true; +} + + +int +JSON_parser_done(JSON_parser jc) +{ + const int result = jc->state == OK && pop(jc, MODE_DONE); + + return result; +} + + +int JSON_parser_is_legal_white_space_string(const char* s) +{ + int c, char_class; + + if (s == NULL) { + return false; + } + + for (; *s; ++s) { + c = *s; + + if (c < 0 || c >= 128) { + return false; + } + + char_class = ascii_class[c]; + + if (char_class != C_SPACE && char_class != C_WHITE) { + return false; + } + } + + return true; +} + + + +void init_JSON_config(JSON_config* config) +{ + if (config) { + memset(config, 0, sizeof(*config)); + + config->depth = JSON_PARSER_STACK_SIZE - 1; + } +} diff --git a/decoder/JSON_parser.h b/decoder/JSON_parser.h new file mode 100644 index 00000000..ceb5b24b --- /dev/null +++ b/decoder/JSON_parser.h @@ -0,0 +1,152 @@ +#ifndef JSON_PARSER_H +#define JSON_PARSER_H + +/* JSON_parser.h */ + + +#include + +/* Windows DLL stuff */ +#ifdef _WIN32 +# ifdef JSON_PARSER_DLL_EXPORTS +# define JSON_PARSER_DLL_API __declspec(dllexport) +# else +# define JSON_PARSER_DLL_API __declspec(dllimport) +# endif +#else +# define JSON_PARSER_DLL_API +#endif + +/* Determine the integer type use to parse non-floating point numbers */ +#if __STDC_VERSION__ >= 199901L || HAVE_LONG_LONG == 1 +typedef long long JSON_int_t; +#define JSON_PARSER_INTEGER_SSCANF_TOKEN "%lld" +#define JSON_PARSER_INTEGER_SPRINTF_TOKEN "%lld" +#else +typedef long JSON_int_t; +#define JSON_PARSER_INTEGER_SSCANF_TOKEN "%ld" +#define JSON_PARSER_INTEGER_SPRINTF_TOKEN "%ld" +#endif + + +#ifdef __cplusplus +extern "C" { +#endif + +typedef enum +{ + JSON_T_NONE = 0, + JSON_T_ARRAY_BEGIN, // 1 + JSON_T_ARRAY_END, // 2 + JSON_T_OBJECT_BEGIN, // 3 + JSON_T_OBJECT_END, // 4 + JSON_T_INTEGER, // 5 + JSON_T_FLOAT, // 6 + JSON_T_NULL, // 7 + JSON_T_TRUE, // 8 + JSON_T_FALSE, // 9 + JSON_T_STRING, // 10 + JSON_T_KEY, // 11 + JSON_T_MAX // 12 +} JSON_type; + +typedef struct JSON_value_struct { + union { + JSON_int_t integer_value; + + long double float_value; + + struct { + const char* value; + size_t length; + } str; + } vu; +} JSON_value; + +typedef struct JSON_parser_struct* JSON_parser; + +/*! \brief JSON parser callback + + \param ctx The pointer passed to new_JSON_parser. + \param type An element of JSON_type but not JSON_T_NONE. + \param value A representation of the parsed value. This parameter is NULL for + JSON_T_ARRAY_BEGIN, JSON_T_ARRAY_END, JSON_T_OBJECT_BEGIN, JSON_T_OBJECT_END, + JSON_T_NULL, JSON_T_TRUE, and SON_T_FALSE. String values are always returned + as zero-terminated C strings. + + \return Non-zero if parsing should continue, else zero. +*/ +typedef int (*JSON_parser_callback)(void* ctx, int type, const struct JSON_value_struct* value); + + +/*! \brief The structure used to configure a JSON parser object + + \param depth If negative, the parser can parse arbitrary levels of JSON, otherwise + the depth is the limit + \param Pointer to a callback. This parameter may be NULL. In this case the input is merely checked for validity. + \param Callback context. This parameter may be NULL. + \param depth. Specifies the levels of nested JSON to allow. Negative numbers yield unlimited nesting. + \param allowComments. To allow C style comments in JSON, set to non-zero. + \param handleFloatsManually. To decode floating point numbers manually set this parameter to non-zero. + + \return The parser object. +*/ +typedef struct { + JSON_parser_callback callback; + void* callback_ctx; + int depth; + int allow_comments; + int handle_floats_manually; +} JSON_config; + + +/*! \brief Initializes the JSON parser configuration structure to default values. + + The default configuration is + - 127 levels of nested JSON (depends on JSON_PARSER_STACK_SIZE, see json_parser.c) + - no parsing, just checking for JSON syntax + - no comments + + \param config. Used to configure the parser. +*/ +JSON_PARSER_DLL_API void init_JSON_config(JSON_config* config); + +/*! \brief Create a JSON parser object + + \param config. Used to configure the parser. Set to NULL to use the default configuration. + See init_JSON_config + + \return The parser object. +*/ +JSON_PARSER_DLL_API extern JSON_parser new_JSON_parser(JSON_config* config); + +/*! \brief Destroy a previously created JSON parser object. */ +JSON_PARSER_DLL_API extern void delete_JSON_parser(JSON_parser jc); + +/*! \brief Parse a character. + + \return Non-zero, if all characters passed to this function are part of are valid JSON. +*/ +JSON_PARSER_DLL_API extern int JSON_parser_char(JSON_parser jc, int next_char); + +/*! \brief Finalize parsing. + + Call this method once after all input characters have been consumed. + + \return Non-zero, if all parsed characters are valid JSON, zero otherwise. +*/ +JSON_PARSER_DLL_API extern int JSON_parser_done(JSON_parser jc); + +/*! \brief Determine if a given string is valid JSON white space + + \return Non-zero if the string is valid, zero otherwise. +*/ +JSON_PARSER_DLL_API extern int JSON_parser_is_legal_white_space_string(const char* s); + + +#ifdef __cplusplus +} +#endif + + +#endif /* JSON_PARSER_H */ diff --git a/decoder/Makefile.am b/decoder/Makefile.am new file mode 100644 index 00000000..a385197c --- /dev/null +++ b/decoder/Makefile.am @@ -0,0 +1,84 @@ +bin_PROGRAMS = cdec + +if HAVE_GTEST +noinst_PROGRAMS = \ + dict_test \ + weights_test \ + trule_test \ + hg_test \ + ff_test \ + logval_test \ + parser_test \ + grammar_test \ + small_vector_test +endif + +cdec_SOURCES = cdec.cc forest_writer.cc maxtrans_blunsom.cc cdec_ff.cc ff_factory.cc timing_stats.cc +small_vector_test_SOURCES = small_vector_test.cc +small_vector_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) libcdec.a +parser_test_SOURCES = parser_test.cc +parser_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) libcdec.a +dict_test_SOURCES = dict_test.cc +dict_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) libcdec.a +ff_test_SOURCES = ff_test.cc +ff_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) libcdec.a +grammar_test_SOURCES = grammar_test.cc +grammar_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) libcdec.a +hg_test_SOURCES = hg_test.cc +hg_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) libcdec.a +trule_test_SOURCES = trule_test.cc +trule_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) libcdec.a +weights_test_SOURCES = weights_test.cc +weights_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) libcdec.a +logval_test_SOURCES = logval_test.cc +logval_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) + +LDADD = libcdec.a + +AM_CPPFLAGS = -W -Wall -Wno-sign-compare $(GTEST_CPPFLAGS) +AM_LDFLAGS = -lz + +rule_lexer.cc: rule_lexer.l + $(LEX) -s -CF -8 -o$@ $< + +noinst_LIBRARIES = libcdec.a + +libcdec_a_SOURCES = \ + rule_lexer.cc \ + fst_translator.cc \ + csplit.cc \ + translator.cc \ + scfg_translator.cc \ + hg.cc \ + hg_io.cc \ + hg_intersect.cc \ + viterbi.cc \ + lattice.cc \ + aligner.cc \ + gzstream.cc \ + apply_models.cc \ + earley_composer.cc \ + phrasetable_fst.cc \ + sparse_vector.cc \ + trule.cc \ + filelib.cc \ + stringlib.cc \ + fdict.cc \ + tdict.cc \ + weights.cc \ + ttables.cc \ + ff.cc \ + ff_lm.cc \ + ff_wordalign.cc \ + ff_csplit.cc \ + ff_tagger.cc \ + tromble_loss.cc \ + freqdict.cc \ + lexalign.cc \ + lextrans.cc \ + tagger.cc \ + bottom_up_parser.cc \ + phrasebased_translator.cc \ + JSON_parser.c \ + json_parse.cc \ + grammar.cc diff --git a/decoder/aligner.cc b/decoder/aligner.cc new file mode 100644 index 00000000..bad97b74 --- /dev/null +++ b/decoder/aligner.cc @@ -0,0 +1,319 @@ +#include "aligner.h" + +#include "array2d.h" +#include "hg.h" +#include "sentence_metadata.h" +#include "inside_outside.h" +#include "viterbi.h" +#include + +using namespace std; + +static bool is_digit(char x) { return x >= '0' && x <= '9'; } + +boost::shared_ptr > AlignerTools::ReadPharaohAlignmentGrid(const string& al) { + int max_x = 0; + int max_y = 0; + int i = 0; + size_t pos = al.rfind(" ||| "); + if (pos != string::npos) { i = pos + 5; } + while (i < al.size()) { + if (al[i] == '\n' || al[i] == '\r') break; + int x = 0; + while(i < al.size() && is_digit(al[i])) { + x *= 10; + x += al[i] - '0'; + ++i; + } + if (x > max_x) max_x = x; + assert(i < al.size()); + if(al[i] != '-') { + cerr << "BAD ALIGNMENT: " << al << endl; + abort(); + } + ++i; + int y = 0; + while(i < al.size() && is_digit(al[i])) { + y *= 10; + y += al[i] - '0'; + ++i; + } + if (y > max_y) max_y = y; + while(i < al.size() && al[i] == ' ') { ++i; } + } + + boost::shared_ptr > grid(new Array2D(max_x + 1, max_y + 1)); + i = 0; + if (pos != string::npos) { i = pos + 5; } + while (i < al.size()) { + if (al[i] == '\n' || al[i] == '\r') break; + int x = 0; + while(i < al.size() && is_digit(al[i])) { + x *= 10; + x += al[i] - '0'; + ++i; + } + assert(i < al.size()); + assert(al[i] == '-'); + ++i; + int y = 0; + while(i < al.size() && is_digit(al[i])) { + y *= 10; + y += al[i] - '0'; + ++i; + } + (*grid)(x, y) = true; + while(i < al.size() && al[i] == ' ') { ++i; } + } + // cerr << *grid << endl; + return grid; +} + +void AlignerTools::SerializePharaohFormat(const Array2D& alignment, ostream* out) { + bool need_space = false; + for (int i = 0; i < alignment.width(); ++i) + for (int j = 0; j < alignment.height(); ++j) + if (alignment(i,j)) { + if (need_space) (*out) << ' '; else need_space = true; + (*out) << i << '-' << j; + } + (*out) << endl; +} + +// used with lexical models since they may not fully generate the +// source string +void SourceEdgeCoveragesUsingParseIndices(const Hypergraph& g, + vector >* src_cov) { + src_cov->clear(); + src_cov->resize(g.edges_.size()); + + for (int i = 0; i < g.edges_.size(); ++i) { + const Hypergraph::Edge& edge = g.edges_[i]; + set& cov = (*src_cov)[i]; + // no words + if (edge.rule_->EWords() == 0 || edge.rule_->FWords() == 0) + continue; + // aligned to NULL (crf ibm variant only) + if (edge.prev_i_ == -1 || edge.i_ == -1) + continue; + assert(edge.j_ >= 0); + assert(edge.prev_j_ >= 0); + if (edge.Arity() == 0) { + for (int k = edge.prev_i_; k < edge.prev_j_; ++k) + cov.insert(k); + } else { + // note: this code, which handles mixed NT and terminal + // rules assumes that nodes uniquely define a src and trg + // span. + int k = edge.prev_i_; + int j = 0; + const vector& f = edge.rule_->e(); // rules are inverted + while (k < edge.prev_j_) { + if (f[j] > 0) { + cov.insert(k); + // cerr << "src: " << k << endl; + ++k; + ++j; + } else { + const Hypergraph::Node& tailnode = g.nodes_[edge.tail_nodes_[-f[j]]]; + assert(tailnode.in_edges_.size() > 0); + // any edge will do: + const Hypergraph::Edge& rep_edge = g.edges_[tailnode.in_edges_.front()]; + //cerr << "skip " << (rep_edge.prev_j_ - rep_edge.prev_i_) << endl; // src span + k += (rep_edge.prev_j_ - rep_edge.prev_i_); // src span + ++j; + } + } + } + } +} + +int SourceEdgeCoveragesUsingTree(const Hypergraph& g, + int node_id, + int span_start, + vector* spans, + vector >* src_cov) { + const Hypergraph::Node& node = g.nodes_[node_id]; + int k = -1; + for (int i = 0; i < node.in_edges_.size(); ++i) { + const int edge_id = node.in_edges_[i]; + const Hypergraph::Edge& edge = g.edges_[edge_id]; + set& cov = (*src_cov)[edge_id]; + const vector& f = edge.rule_->e(); // rules are inverted + int j = 0; + k = span_start; + while (j < f.size()) { + if (f[j] > 0) { + cov.insert(k); + ++k; + ++j; + } else { + const int tail_node_id = edge.tail_nodes_[-f[j]]; + int &right_edge = (*spans)[tail_node_id]; + if (right_edge < 0) + right_edge = SourceEdgeCoveragesUsingTree(g, tail_node_id, k, spans, src_cov); + k = right_edge; + ++j; + } + } + } + return k; +} + +void SourceEdgeCoveragesUsingTree(const Hypergraph& g, + vector >* src_cov) { + src_cov->clear(); + src_cov->resize(g.edges_.size()); + vector span_sizes(g.nodes_.size(), -1); + SourceEdgeCoveragesUsingTree(g, g.nodes_.size() - 1, 0, &span_sizes, src_cov); +} + +int TargetEdgeCoveragesUsingTree(const Hypergraph& g, + int node_id, + int span_start, + vector* spans, + vector >* trg_cov) { + const Hypergraph::Node& node = g.nodes_[node_id]; + int k = -1; + for (int i = 0; i < node.in_edges_.size(); ++i) { + const int edge_id = node.in_edges_[i]; + const Hypergraph::Edge& edge = g.edges_[edge_id]; + set& cov = (*trg_cov)[edge_id]; + int ntc = 0; + const vector& e = edge.rule_->f(); // rules are inverted + int j = 0; + k = span_start; + while (j < e.size()) { + if (e[j] > 0) { + cov.insert(k); + ++k; + ++j; + } else { + const int tail_node_id = edge.tail_nodes_[ntc]; + ++ntc; + int &right_edge = (*spans)[tail_node_id]; + if (right_edge < 0) + right_edge = TargetEdgeCoveragesUsingTree(g, tail_node_id, k, spans, trg_cov); + k = right_edge; + ++j; + } + } + // cerr << "node=" << node_id << ": k=" << k << endl; + } + return k; +} + +void TargetEdgeCoveragesUsingTree(const Hypergraph& g, + vector >* trg_cov) { + trg_cov->clear(); + trg_cov->resize(g.edges_.size()); + vector span_sizes(g.nodes_.size(), -1); + TargetEdgeCoveragesUsingTree(g, g.nodes_.size() - 1, 0, &span_sizes, trg_cov); +} + +struct TransitionEventWeightFunction { + inline SparseVector operator()(const Hypergraph::Edge& e) const { + SparseVector result; + result.set_value(e.id_, e.edge_prob_); + return result; + } +}; + +// this code is rather complicated since it must deal with generating alignments +// when lattices are specified as input as well as with models that do not generate +// full sentence pairs (like lexical alignment models) +void AlignerTools::WriteAlignment(const Lattice& src_lattice, + const Lattice& trg_lattice, + const Hypergraph& in_g, + ostream* out, + bool map_instead_of_viterbi, + const vector* edges) { + bool fix_up_src_spans = false; + const Hypergraph* g = &in_g; + if (!src_lattice.IsSentence() || + !trg_lattice.IsSentence()) { + if (map_instead_of_viterbi) { + cerr << " Lattice alignment: using Viterbi instead of MAP alignment\n"; + } + map_instead_of_viterbi = false; + fix_up_src_spans = !src_lattice.IsSentence(); + } + if (!map_instead_of_viterbi || edges) { + Hypergraph* new_hg = in_g.CreateViterbiHypergraph(edges); + for (int i = 0; i < new_hg->edges_.size(); ++i) + new_hg->edges_[i].edge_prob_ = prob_t::One(); + g = new_hg; + } + + vector edge_posteriors(g->edges_.size(), prob_t::Zero()); + vector trg_sent; + vector src_sent; + if (fix_up_src_spans) { + ViterbiESentence(*g, &src_sent); + } else { + src_sent.resize(src_lattice.size()); + for (int i = 0; i < src_sent.size(); ++i) + src_sent[i] = src_lattice[i][0].label; + } + + ViterbiFSentence(*g, &trg_sent); + + if (edges || !map_instead_of_viterbi) { + for (int i = 0; i < edge_posteriors.size(); ++i) + edge_posteriors[i] = prob_t::One(); + } else { + SparseVector posts; + const prob_t z = InsideOutside, TransitionEventWeightFunction>(*g, &posts); + for (int i = 0; i < edge_posteriors.size(); ++i) + edge_posteriors[i] = posts[i] / z; + } + vector > src_cov(g->edges_.size()); + vector > trg_cov(g->edges_.size()); + TargetEdgeCoveragesUsingTree(*g, &trg_cov); + + if (fix_up_src_spans) + SourceEdgeCoveragesUsingTree(*g, &src_cov); + else + SourceEdgeCoveragesUsingParseIndices(*g, &src_cov); + + // figure out the src and reference size; + int src_size = src_sent.size(); + int ref_size = trg_sent.size(); + Array2D align(src_size, ref_size, prob_t::Zero()); + for (int c = 0; c < g->edges_.size(); ++c) { + const prob_t& p = edge_posteriors[c]; + const set& srcs = src_cov[c]; + const set& trgs = trg_cov[c]; + for (set::const_iterator si = srcs.begin(); + si != srcs.end(); ++si) { + for (set::const_iterator ti = trgs.begin(); + ti != trgs.end(); ++ti) { + align(*si, *ti) += p; + } + } + } + if (g != &in_g) { delete g; g = NULL; } + + prob_t threshold(0.9); + const bool use_soft_threshold = true; // TODO configure + + Array2D grid(src_size, ref_size, false); + for (int j = 0; j < ref_size; ++j) { + if (use_soft_threshold) { + threshold = prob_t::Zero(); + for (int i = 0; i < src_size; ++i) + if (align(i, j) > threshold) threshold = align(i, j); + //threshold *= prob_t(0.99); + } + for (int i = 0; i < src_size; ++i) + grid(i, j) = align(i, j) >= threshold; + } + if (out == &cout) { + // TODO need to do some sort of verbose flag + cerr << align << endl; + cerr << grid << endl; + } + (*out) << TD::GetString(src_sent) << " ||| " << TD::GetString(trg_sent) << " ||| "; + SerializePharaohFormat(grid, out); +}; + diff --git a/decoder/aligner.h b/decoder/aligner.h new file mode 100644 index 00000000..cd159119 --- /dev/null +++ b/decoder/aligner.h @@ -0,0 +1,27 @@ +#ifndef _ALIGNER_H_ + +#include +#include +#include +#include "array2d.h" +#include "lattice.h" + +class Hypergraph; +class SentenceMetadata; + +struct AlignerTools { + static boost::shared_ptr > ReadPharaohAlignmentGrid(const std::string& al); + static void SerializePharaohFormat(const Array2D& alignment, std::ostream* out); + + // assumption: g contains derivations of input/ref and + // ONLY input/ref. + // if edges is non-NULL, the alignment corresponding to the edge rules will be written + static void WriteAlignment(const Lattice& src, + const Lattice& ref, + const Hypergraph& g, + std::ostream* out, + bool map_instead_of_viterbi = true, + const std::vector* edges = NULL); +}; + +#endif diff --git a/decoder/apply_models.cc b/decoder/apply_models.cc new file mode 100644 index 00000000..2908005f --- /dev/null +++ b/decoder/apply_models.cc @@ -0,0 +1,426 @@ +#include "apply_models.h" + +#include +#include +#include +#include + +#include + +#include "hg.h" +#include "ff.h" + +using namespace std; +using namespace std::tr1; + +struct Candidate; +typedef SmallVector JVector; +typedef vector CandidateHeap; +typedef vector CandidateList; + +// default vector size (* sizeof string is memory used) +static const size_t kRESERVE_NUM_NODES = 500000ul; + +// life cycle: candidates are created, placed on the heap +// and retrieved by their estimated cost, when they're +// retrieved, they're incorporated into the +LM hypergraph +// where they also know the head node index they are +// attached to. After they are added to the +LM hypergraph +// vit_prob_ and est_prob_ fields may be updated as better +// derivations are found (this happens since the successor's +// of derivation d may have a better score- they are +// explored lazily). However, the updates don't happen +// when a candidate is in the heap so maintaining the heap +// property is not an issue. +struct Candidate { + int node_index_; // -1 until incorporated + // into the +LM forest + const Hypergraph::Edge* in_edge_; // in -LM forest + Hypergraph::Edge out_edge_; + string state_; + const JVector j_; + prob_t vit_prob_; // these are fixed until the cand + // is popped, then they may be updated + prob_t est_prob_; + + Candidate(const Hypergraph::Edge& e, + const JVector& j, + const Hypergraph& out_hg, + const vector& D, + const vector& node_states, + const SentenceMetadata& smeta, + const ModelSet& models, + bool is_goal) : + node_index_(-1), + in_edge_(&e), + j_(j) { + InitializeCandidate(out_hg, smeta, D, node_states, models, is_goal); + } + + // used to query uniqueness + Candidate(const Hypergraph::Edge& e, + const JVector& j) : in_edge_(&e), j_(j) {} + + bool IsIncorporatedIntoHypergraph() const { + return node_index_ >= 0; + } + + void InitializeCandidate(const Hypergraph& out_hg, + const SentenceMetadata& smeta, + const vector >& D, + const vector& node_states, + const ModelSet& models, + const bool is_goal) { + const Hypergraph::Edge& in_edge = *in_edge_; + out_edge_.rule_ = in_edge.rule_; + out_edge_.feature_values_ = in_edge.feature_values_; + out_edge_.i_ = in_edge.i_; + out_edge_.j_ = in_edge.j_; + out_edge_.prev_i_ = in_edge.prev_i_; + out_edge_.prev_j_ = in_edge.prev_j_; + Hypergraph::TailNodeVector& tail = out_edge_.tail_nodes_; + tail.resize(j_.size()); + prob_t p = prob_t::One(); + // cerr << "\nEstimating application of " << in_edge.rule_->AsString() << endl; + for (int i = 0; i < tail.size(); ++i) { + const Candidate& ant = *D[in_edge.tail_nodes_[i]][j_[i]]; + assert(ant.IsIncorporatedIntoHypergraph()); + tail[i] = ant.node_index_; + p *= ant.vit_prob_; + } + prob_t edge_estimate = prob_t::One(); + if (is_goal) { + assert(tail.size() == 1); + const string& ant_state = node_states[tail.front()]; + models.AddFinalFeatures(ant_state, &out_edge_); + } else { + models.AddFeaturesToEdge(smeta, out_hg, node_states, &out_edge_, &state_, &edge_estimate); + } + vit_prob_ = out_edge_.edge_prob_ * p; + est_prob_ = vit_prob_ * edge_estimate; + } +}; + +ostream& operator<<(ostream& os, const Candidate& cand) { + os << "CAND["; + if (!cand.IsIncorporatedIntoHypergraph()) { os << "PENDING "; } + else { os << "+LM_node=" << cand.node_index_; } + os << " edge=" << cand.in_edge_->id_; + os << " j=<"; + for (int i = 0; i < cand.j_.size(); ++i) + os << (i==0 ? "" : " ") << cand.j_[i]; + os << "> vit=" << log(cand.vit_prob_); + os << " est=" << log(cand.est_prob_); + return os << ']'; +} + +struct HeapCandCompare { + bool operator()(const Candidate* l, const Candidate* r) const { + return l->est_prob_ < r->est_prob_; + } +}; + +struct EstProbSorter { + bool operator()(const Candidate* l, const Candidate* r) const { + return l->est_prob_ > r->est_prob_; + } +}; + +// the same candidate can be added multiple times if +// j is multidimensional (if you're going NW in Manhattan, you +// can first go north, then west, or you can go west then north) +// this is a hash function on the relevant variables from +// Candidate to enforce this. +struct CandidateUniquenessHash { + size_t operator()(const Candidate* c) const { + size_t x = 5381; + x = ((x << 5) + x) ^ c->in_edge_->id_; + for (int i = 0; i < c->j_.size(); ++i) + x = ((x << 5) + x) ^ c->j_[i]; + return x; + } +}; + +struct CandidateUniquenessEquals { + bool operator()(const Candidate* a, const Candidate* b) const { + return (a->in_edge_ == b->in_edge_) && (a->j_ == b->j_); + } +}; + +typedef unordered_set UniqueCandidateSet; +typedef unordered_map > State2Node; + +class CubePruningRescorer { + +public: + CubePruningRescorer(const ModelSet& m, + const SentenceMetadata& sm, + const Hypergraph& i, + int pop_limit, + Hypergraph* o) : + models(m), + smeta(sm), + in(i), + out(*o), + D(in.nodes_.size()), + pop_limit_(pop_limit) { + cerr << " Applying feature functions (cube pruning, pop_limit = " << pop_limit_ << ')' << endl; + node_states_.reserve(kRESERVE_NUM_NODES); + } + + void Apply() { + int num_nodes = in.nodes_.size(); + int goal_id = num_nodes - 1; + int pregoal = goal_id - 1; + int every = 1; + if (num_nodes > 100) every = 10; + assert(in.nodes_[pregoal].out_edges_.size() == 1); + cerr << " "; + for (int i = 0; i < in.nodes_.size(); ++i) { + if (i % every == 0) cerr << '.'; + KBest(i, i == goal_id); + } + cerr << endl; + cerr << " Best path: " << log(D[goal_id].front()->vit_prob_) + << "\t" << log(D[goal_id].front()->est_prob_) << endl; + out.PruneUnreachable(D[goal_id].front()->node_index_); + FreeAll(); + } + + private: + void FreeAll() { + for (int i = 0; i < D.size(); ++i) { + CandidateList& D_i = D[i]; + for (int j = 0; j < D_i.size(); ++j) + delete D_i[j]; + } + D.clear(); + } + + void IncorporateIntoPlusLMForest(Candidate* item, State2Node* s2n, CandidateList* freelist) { + Hypergraph::Edge* new_edge = out.AddEdge(item->out_edge_.rule_, item->out_edge_.tail_nodes_); + new_edge->feature_values_ = item->out_edge_.feature_values_; + new_edge->edge_prob_ = item->out_edge_.edge_prob_; + new_edge->i_ = item->out_edge_.i_; + new_edge->j_ = item->out_edge_.j_; + new_edge->prev_i_ = item->out_edge_.prev_i_; + new_edge->prev_j_ = item->out_edge_.prev_j_; + Candidate*& o_item = (*s2n)[item->state_]; + if (!o_item) o_item = item; + + int& node_id = o_item->node_index_; + if (node_id < 0) { + Hypergraph::Node* new_node = out.AddNode(in.nodes_[item->in_edge_->head_node_].cat_); + node_states_.push_back(item->state_); + node_id = new_node->id_; + } + Hypergraph::Node* node = &out.nodes_[node_id]; + out.ConnectEdgeToHeadNode(new_edge, node); + + // update candidate if we have a better derivation + // note: the difference between the vit score and the estimated + // score is the same for all items with a common residual DP + // state + if (item->vit_prob_ > o_item->vit_prob_) { + assert(o_item->state_ == item->state_); // sanity check! + o_item->est_prob_ = item->est_prob_; + o_item->vit_prob_ = item->vit_prob_; + } + if (item != o_item) freelist->push_back(item); + } + + void KBest(const int vert_index, const bool is_goal) { + // cerr << "KBest(" << vert_index << ")\n"; + CandidateList& D_v = D[vert_index]; + assert(D_v.empty()); + const Hypergraph::Node& v = in.nodes_[vert_index]; + // cerr << " has " << v.in_edges_.size() << " in-coming edges\n"; + const vector& in_edges = v.in_edges_; + CandidateHeap cand; + CandidateList freelist; + cand.reserve(in_edges.size()); + UniqueCandidateSet unique_cands; + for (int i = 0; i < in_edges.size(); ++i) { + const Hypergraph::Edge& edge = in.edges_[in_edges[i]]; + const JVector j(edge.tail_nodes_.size(), 0); + cand.push_back(new Candidate(edge, j, out, D, node_states_, smeta, models, is_goal)); + assert(unique_cands.insert(cand.back()).second); // these should all be unique! + } +// cerr << " making heap of " << cand.size() << " candidates\n"; + make_heap(cand.begin(), cand.end(), HeapCandCompare()); + State2Node state2node; // "buf" in Figure 2 + int pops = 0; + while(!cand.empty() && pops < pop_limit_) { + pop_heap(cand.begin(), cand.end(), HeapCandCompare()); + Candidate* item = cand.back(); + cand.pop_back(); + // cerr << "POPPED: " << *item << endl; + PushSucc(*item, is_goal, &cand, &unique_cands); + IncorporateIntoPlusLMForest(item, &state2node, &freelist); + ++pops; + } + D_v.resize(state2node.size()); + int c = 0; + for (State2Node::iterator i = state2node.begin(); i != state2node.end(); ++i) + D_v[c++] = i->second; + sort(D_v.begin(), D_v.end(), EstProbSorter()); + // cerr << " expanded to " << D_v.size() << " nodes\n"; + + for (int i = 0; i < cand.size(); ++i) + delete cand[i]; + // freelist is necessary since even after an item merged, it still stays in + // the unique set so it can't be deleted til now + for (int i = 0; i < freelist.size(); ++i) + delete freelist[i]; + } + + void PushSucc(const Candidate& item, const bool is_goal, CandidateHeap* pcand, UniqueCandidateSet* cs) { + CandidateHeap& cand = *pcand; + for (int i = 0; i < item.j_.size(); ++i) { + JVector j = item.j_; + ++j[i]; + if (j[i] < D[item.in_edge_->tail_nodes_[i]].size()) { + Candidate query_unique(*item.in_edge_, j); + if (cs->count(&query_unique) == 0) { + Candidate* new_cand = new Candidate(*item.in_edge_, j, out, D, node_states_, smeta, models, is_goal); + cand.push_back(new_cand); + push_heap(cand.begin(), cand.end(), HeapCandCompare()); + assert(cs->insert(new_cand).second); // insert into uniqueness set, sanity check + } + } + } + } + + const ModelSet& models; + const SentenceMetadata& smeta; + const Hypergraph& in; + Hypergraph& out; + + vector D; // maps nodes in in-HG to the + // equivalent nodes (many due to state + // splits) in the out-HG. + vector node_states_; // for each node in the out-HG what is + // its q function value? + const int pop_limit_; +}; + +struct NoPruningRescorer { + NoPruningRescorer(const ModelSet& m, const SentenceMetadata &sm, const Hypergraph& i, Hypergraph* o) : + models(m), + smeta(sm), + in(i), + out(*o), + nodemap(i.nodes_.size()) { + cerr << " Rescoring forest (full intersection)\n"; + node_states_.reserve(kRESERVE_NUM_NODES); + } + + typedef unordered_map > State2NodeIndex; + + void ExpandEdge(const Hypergraph::Edge& in_edge, bool is_goal, State2NodeIndex* state2node) { + const int arity = in_edge.Arity(); + Hypergraph::TailNodeVector ends(arity); + for (int i = 0; i < arity; ++i) + ends[i] = nodemap[in_edge.tail_nodes_[i]].size(); + + Hypergraph::TailNodeVector tail_iter(arity, 0); + bool done = false; + while (!done) { + Hypergraph::TailNodeVector tail(arity); + for (int i = 0; i < arity; ++i) + tail[i] = nodemap[in_edge.tail_nodes_[i]][tail_iter[i]]; + Hypergraph::Edge* new_edge = out.AddEdge(in_edge.rule_, tail); + new_edge->feature_values_ = in_edge.feature_values_; + new_edge->i_ = in_edge.i_; + new_edge->j_ = in_edge.j_; + new_edge->prev_i_ = in_edge.prev_i_; + new_edge->prev_j_ = in_edge.prev_j_; + string head_state; + if (is_goal) { + assert(tail.size() == 1); + const string& ant_state = node_states_[tail.front()]; + models.AddFinalFeatures(ant_state, new_edge); + } else { + prob_t edge_estimate; // this is a full intersection, so we disregard this + models.AddFeaturesToEdge(smeta, out, node_states_, new_edge, &head_state, &edge_estimate); + } + int& head_plus1 = (*state2node)[head_state]; + if (!head_plus1) { + head_plus1 = out.AddNode(in_edge.rule_->GetLHS())->id_ + 1; + node_states_.push_back(head_state); + nodemap[in_edge.head_node_].push_back(head_plus1 - 1); + } + const int head_index = head_plus1 - 1; + out.ConnectEdgeToHeadNode(new_edge->id_, head_index); + + int ii = 0; + for (; ii < arity; ++ii) { + ++tail_iter[ii]; + if (tail_iter[ii] < ends[ii]) break; + tail_iter[ii] = 0; + } + done = (ii == arity); + } + } + + void ProcessOneNode(const int node_num, const bool is_goal) { + State2NodeIndex state2node; + const Hypergraph::Node& node = in.nodes_[node_num]; + for (int i = 0; i < node.in_edges_.size(); ++i) { + const Hypergraph::Edge& edge = in.edges_[node.in_edges_[i]]; + ExpandEdge(edge, is_goal, &state2node); + } + } + + void Apply() { + int num_nodes = in.nodes_.size(); + int goal_id = num_nodes - 1; + int pregoal = goal_id - 1; + int every = 1; + if (num_nodes > 100) every = 10; + assert(in.nodes_[pregoal].out_edges_.size() == 1); + cerr << " "; + for (int i = 0; i < in.nodes_.size(); ++i) { + if (i % every == 0) cerr << '.'; + ProcessOneNode(i, i == goal_id); + } + cerr << endl; + } + + private: + const ModelSet& models; + const SentenceMetadata& smeta; + const Hypergraph& in; + Hypergraph& out; + + vector > nodemap; + vector node_states_; // for each node in the out-HG what is + // its q function value? +}; + +// each node in the graph has one of these, it keeps track of +void ApplyModelSet(const Hypergraph& in, + const SentenceMetadata& smeta, + const ModelSet& models, + const IntersectionConfiguration& config, + Hypergraph* out) { + // TODO special handling when all models are stateless + if (config.algorithm == 1) { + int pl = config.pop_limit; + if (pl > 100 && in.nodes_.size() > 80000) { + cerr << " Note: reducing pop_limit to " << pl << " for very large forest\n"; + pl = 30; + } + CubePruningRescorer ma(models, smeta, in, pl, out); + ma.Apply(); + } else if (config.algorithm == 0) { + NoPruningRescorer ma(models, smeta, in, out); + ma.Apply(); + } else { + cerr << "Don't understand intersection algorithm " << config.algorithm << endl; + exit(1); + } + out->is_linear_chain_ = in.is_linear_chain_; // TODO remove when this is computed + // automatically +} + diff --git a/decoder/apply_models.h b/decoder/apply_models.h new file mode 100644 index 00000000..d6d8b34a --- /dev/null +++ b/decoder/apply_models.h @@ -0,0 +1,20 @@ +#ifndef _APPLY_MODELS_H_ +#define _APPLY_MODELS_H_ + +struct ModelSet; +struct Hypergraph; +struct SentenceMetadata; + +struct IntersectionConfiguration { + const int algorithm; // 0 = full intersection, 1 = cube pruning + const int pop_limit; // max number of pops off the heap at each node + IntersectionConfiguration(int alg, int k) : algorithm(alg), pop_limit(k) {} +}; + +void ApplyModelSet(const Hypergraph& in, + const SentenceMetadata& smeta, + const ModelSet& models, + const IntersectionConfiguration& config, + Hypergraph* out); + +#endif diff --git a/decoder/array2d.h b/decoder/array2d.h new file mode 100644 index 00000000..e63eda0d --- /dev/null +++ b/decoder/array2d.h @@ -0,0 +1,172 @@ +#ifndef ARRAY2D_H_ +#define ARRAY2D_H_ + +#include +#include +#include +#include +#include + +template +class Array2D { + public: + typedef typename std::vector::reference reference; + typedef typename std::vector::const_reference const_reference; + typedef typename std::vector::iterator iterator; + typedef typename std::vector::const_iterator const_iterator; + Array2D() : width_(0), height_(0) {} + Array2D(int w, int h, const T& d = T()) : + width_(w), height_(h), data_(w*h, d) {} + Array2D(const Array2D& rhs) : + width_(rhs.width_), height_(rhs.height_), data_(rhs.data_) {} + bool empty() const { return data_.empty(); } + void resize(int w, int h, const T& d = T()) { + data_.resize(w * h, d); + width_ = w; + height_ = h; + } + const Array2D& operator=(const Array2D& rhs) { + data_ = rhs.data_; + width_ = rhs.width_; + height_ = rhs.height_; + return *this; + } + void fill(const T& v) { data_.assign(data_.size(), v); } + int width() const { return width_; } + int height() const { return height_; } + reference operator()(int i, int j) { + return data_[offset(i, j)]; + } + void clear() { data_.clear(); width_=0; height_=0; } + const_reference operator()(int i, int j) const { + return data_[offset(i, j)]; + } + iterator begin_col(int j) { + return data_.begin() + offset(0,j); + } + const_iterator begin_col(int j) const { + return data_.begin() + offset(0,j); + } + iterator end_col(int j) { + return data_.begin() + offset(0,j) + width_; + } + const_iterator end_col(int j) const { + return data_.begin() + offset(0,j) + width_; + } + iterator end() { return data_.end(); } + const_iterator end() const { return data_.end(); } + const Array2D& operator*=(const T& x) { + std::transform(data_.begin(), data_.end(), data_.begin(), + std::bind2nd(std::multiplies(), x)); + } + const Array2D& operator/=(const T& x) { + std::transform(data_.begin(), data_.end(), data_.begin(), + std::bind2nd(std::divides(), x)); + } + const Array2D& operator+=(const Array2D& m) { + std::transform(m.data_.begin(), m.data_.end(), data_.begin(), data_.begin(), std::plus()); + } + const Array2D& operator-=(const Array2D& m) { + std::transform(m.data_.begin(), m.data_.end(), data_.begin(), data_.begin(), std::minus()); + } + + private: + inline int offset(int i, int j) const { + assert(i data_; +}; + +template +Array2D operator*(const Array2D& l, const T& scalar) { + Array2D res(l); + res *= scalar; + return res; +} + +template +Array2D operator*(const T& scalar, const Array2D& l) { + Array2D res(l); + res *= scalar; + return res; +} + +template +Array2D operator/(const Array2D& l, const T& scalar) { + Array2D res(l); + res /= scalar; + return res; +} + +template +Array2D operator+(const Array2D& l, const Array2D& r) { + Array2D res(l); + res += r; + return res; +} + +template +Array2D operator-(const Array2D& l, const Array2D& r) { + Array2D res(l); + res -= r; + return res; +} + +template +inline std::ostream& operator<<(std::ostream& os, const Array2D& m) { + for (int i=0; i& m) { + os << ' '; + for (int j=0; j >& m) { + os << ' '; + for (int j=0; j& ar = m(i,j); + for (int k=0; k +#include + +#include "hg.h" +#include "array2d.h" +#include "tdict.h" + +using namespace std; + +struct ParserStats { + ParserStats() : active_items(), passive_items() {} + void Reset() { active_items=0; passive_items=0; } + void Report() { + cerr << " ACTIVE ITEMS: " << active_items << "\tPASSIVE ITEMS: " << passive_items << endl; + } + int active_items; + int passive_items; + void NotifyActive(int i, int j) { ++active_items; } + void NotifyPassive(int i, int j) { ++passive_items; } +}; + +ParserStats stats; + +class ActiveChart; +class PassiveChart { + public: + PassiveChart(const string& goal, + const vector& grammars, + const Lattice& input, + Hypergraph* forest); + ~PassiveChart(); + + inline const vector& operator()(int i, int j) const { return chart_(i,j); } + bool Parse(); + inline int size() const { return chart_.width(); } + inline bool GoalFound() const { return goal_idx_ >= 0; } + inline int GetGoalIndex() const { return goal_idx_; } + + private: + void ApplyRules(const int i, + const int j, + const RuleBin* rules, + const Hypergraph::TailNodeVector& tail, + const float lattice_cost); + + void ApplyRule(const int i, + const int j, + const TRulePtr& r, + const Hypergraph::TailNodeVector& ant_nodes, + const float lattice_cost); + + void ApplyUnaryRules(const int i, const int j); + + const vector& grammars_; + const Lattice& input_; + Hypergraph* forest_; + Array2D > chart_; // chart_(i,j) is the list of nodes derived spanning i,j + typedef map Cat2NodeMap; + Array2D nodemap_; + vector act_chart_; + const WordID goal_cat_; // category that is being searched for at [0,n] + TRulePtr goal_rule_; + int goal_idx_; // index of goal node, if found + const int lc_fid_; + + static WordID kGOAL; // [Goal] +}; + +WordID PassiveChart::kGOAL = 0; + +class ActiveChart { + public: + ActiveChart(const Hypergraph* hg, const PassiveChart& psv_chart) : + hg_(hg), + act_chart_(psv_chart.size(), psv_chart.size()), psv_chart_(psv_chart) {} + + struct ActiveItem { + ActiveItem(const GrammarIter* g, const Hypergraph::TailNodeVector& a, float lcost) : + gptr_(g), ant_nodes_(a), lattice_cost(lcost) {} + explicit ActiveItem(const GrammarIter* g) : + gptr_(g), ant_nodes_(), lattice_cost(0.0) {} + + void ExtendTerminal(int symbol, float src_cost, vector* out_cell) const { + const GrammarIter* ni = gptr_->Extend(symbol); + if (ni) { + stats.NotifyActive(-1,-1); // TRACKING STATS + out_cell->push_back(ActiveItem(ni, ant_nodes_, lattice_cost + src_cost)); + } + } + void ExtendNonTerminal(const Hypergraph* hg, int node_index, vector* out_cell) const { + int symbol = hg->nodes_[node_index].cat_; + const GrammarIter* ni = gptr_->Extend(symbol); + if (!ni) return; + stats.NotifyActive(-1,-1); // TRACKING STATS + Hypergraph::TailNodeVector na(ant_nodes_.size() + 1); + for (int i = 0; i < ant_nodes_.size(); ++i) + na[i] = ant_nodes_[i]; + na[ant_nodes_.size()] = node_index; + out_cell->push_back(ActiveItem(ni, na, lattice_cost)); + } + + const GrammarIter* gptr_; + Hypergraph::TailNodeVector ant_nodes_; + float lattice_cost; // TODO? use SparseVector + }; + + inline const vector& operator()(int i, int j) const { return act_chart_(i,j); } + void SeedActiveChart(const Grammar& g) { + int size = act_chart_.width(); + for (int i = 0; i < size; ++i) + if (g.HasRuleForSpan(i,i,0)) + act_chart_(i,i).push_back(ActiveItem(g.GetRoot())); + } + + void ExtendActiveItems(int i, int k, int j) { + //cerr << " LOOK(" << i << "," << k << ") for completed items in (" << k << "," << j << ")\n"; + vector& cell = act_chart_(i,j); + const vector& icell = act_chart_(i,k); + const vector& idxs = psv_chart_(k, j); + //if (!idxs.empty()) { cerr << "FOUND IN (" << k << "," << j << ")\n"; } + for (vector::const_iterator di = icell.begin(); di != icell.end(); ++di) { + for (vector::const_iterator ni = idxs.begin(); ni != idxs.end(); ++ni) { + di->ExtendNonTerminal(hg_, *ni, &cell); + } + } + } + + void AdvanceDotsForAllItemsInCell(int i, int j, const vector >& input) { + //cerr << "ADVANCE(" << i << "," << j << ")\n"; + for (int k=i+1; k < j; ++k) + ExtendActiveItems(i, k, j); + + const vector& out_arcs = input[j-1]; + for (vector::const_iterator ai = out_arcs.begin(); + ai != out_arcs.end(); ++ai) { + const WordID& f = ai->label; + const double& c = ai->cost; + const int& len = ai->dist2next; + //VLOG(1) << "F: " << TD::Convert(f) << endl; + const vector& ec = act_chart_(i, j-1); + for (vector::const_iterator di = ec.begin(); di != ec.end(); ++di) + di->ExtendTerminal(f, c, &act_chart_(i, j + len - 1)); + } + } + + private: + const Hypergraph* hg_; + Array2D > act_chart_; + const PassiveChart& psv_chart_; +}; + +PassiveChart::PassiveChart(const string& goal, + const vector& grammars, + const Lattice& input, + Hypergraph* forest) : + grammars_(grammars), + input_(input), + forest_(forest), + chart_(input.size()+1, input.size()+1), + nodemap_(input.size()+1, input.size()+1), + goal_cat_(TD::Convert(goal) * -1), + goal_rule_(new TRule("[Goal] ||| [" + goal + ",1] ||| [" + goal + ",1]")), + goal_idx_(-1), + lc_fid_(FD::Convert("LatticeCost")) { + act_chart_.resize(grammars_.size()); + for (int i = 0; i < grammars_.size(); ++i) + act_chart_[i] = new ActiveChart(forest, *this); + if (!kGOAL) kGOAL = TD::Convert("Goal") * -1; + cerr << " Goal category: [" << goal << ']' << endl; +} + +void PassiveChart::ApplyRule(const int i, + const int j, + const TRulePtr& r, + const Hypergraph::TailNodeVector& ant_nodes, + const float lattice_cost) { + stats.NotifyPassive(i,j); // TRACKING STATS + Hypergraph::Edge* new_edge = forest_->AddEdge(r, ant_nodes); + new_edge->prev_i_ = r->prev_i; + new_edge->prev_j_ = r->prev_j; + new_edge->i_ = i; + new_edge->j_ = j; + new_edge->feature_values_ = r->GetFeatureValues(); + if (lattice_cost) + new_edge->feature_values_.set_value(lc_fid_, lattice_cost); + Cat2NodeMap& c2n = nodemap_(i,j); + const bool is_goal = (r->GetLHS() == kGOAL); + const Cat2NodeMap::iterator ni = c2n.find(r->GetLHS()); + Hypergraph::Node* node = NULL; + if (ni == c2n.end()) { + node = forest_->AddNode(r->GetLHS()); + c2n[r->GetLHS()] = node->id_; + if (is_goal) { + assert(goal_idx_ == -1); + goal_idx_ = node->id_; + } else { + chart_(i,j).push_back(node->id_); + } + } else { + node = &forest_->nodes_[ni->second]; + } + forest_->ConnectEdgeToHeadNode(new_edge, node); +} + +void PassiveChart::ApplyRules(const int i, + const int j, + const RuleBin* rules, + const Hypergraph::TailNodeVector& tail, + const float lattice_cost) { + const int n = rules->GetNumRules(); + for (int k = 0; k < n; ++k) + ApplyRule(i, j, rules->GetIthRule(k), tail, lattice_cost); +} + +void PassiveChart::ApplyUnaryRules(const int i, const int j) { + const vector& nodes = chart_(i,j); // reference is important! + for (int gi = 0; gi < grammars_.size(); ++gi) { + if (!grammars_[gi]->HasRuleForSpan(i,j,input_.Distance(i,j))) continue; + for (int di = 0; di < nodes.size(); ++di) { + const WordID& cat = forest_->nodes_[nodes[di]].cat_; + const vector& unaries = grammars_[gi]->GetUnaryRulesForRHS(cat); + for (int ri = 0; ri < unaries.size(); ++ri) { + // cerr << "At (" << i << "," << j << "): applying " << unaries[ri]->AsString() << endl; + const Hypergraph::TailNodeVector ant(1, nodes[di]); + ApplyRule(i, j, unaries[ri], ant, 0); // may update nodes + } + } + } +} + +bool PassiveChart::Parse() { + forest_->nodes_.reserve(input_.size() * input_.size() * 2); + forest_->edges_.reserve(input_.size() * input_.size() * 1000); // TODO: reservation?? + goal_idx_ = -1; + for (int gi = 0; gi < grammars_.size(); ++gi) + act_chart_[gi]->SeedActiveChart(*grammars_[gi]); + + cerr << " "; + for (int l=1; lAdvanceDotsForAllItemsInCell(i, j, input_); + + const vector& cell = (*act_chart_[gi])(i,j); + for (vector::const_iterator ai = cell.begin(); + ai != cell.end(); ++ai) { + const RuleBin* rules = (ai->gptr_->GetRules()); + if (!rules) continue; + ApplyRules(i, j, rules, ai->ant_nodes_, ai->lattice_cost); + } + } + } + ApplyUnaryRules(i,j); + + for (int gi = 0; gi < grammars_.size(); ++gi) { + const Grammar& g = *grammars_[gi]; + // deal with non-terminals that were just proved + if (g.HasRuleForSpan(i, j, input_.Distance(i,j))) + act_chart_[gi]->ExtendActiveItems(i, i, j); + } + } + const vector& dh = chart_(0, input_.size()); + for (int di = 0; di < dh.size(); ++di) { + const Hypergraph::Node& node = forest_->nodes_[dh[di]]; + if (node.cat_ == goal_cat_) { + Hypergraph::TailNodeVector ant(1, node.id_); + ApplyRule(0, input_.size(), goal_rule_, ant, 0); + } + } + } + cerr << endl; + + if (GoalFound()) + forest_->PruneUnreachable(forest_->nodes_.size() - 1); + return GoalFound(); +} + +PassiveChart::~PassiveChart() { + for (int i = 0; i < act_chart_.size(); ++i) + delete act_chart_[i]; +} + +ExhaustiveBottomUpParser::ExhaustiveBottomUpParser( + const string& goal_sym, + const vector& grammars) : + goal_sym_(goal_sym), + grammars_(grammars) {} + +bool ExhaustiveBottomUpParser::Parse(const Lattice& input, + Hypergraph* forest) const { + stats.Reset(); + PassiveChart chart(goal_sym_, grammars_, input, forest); + const bool result = chart.Parse(); + stats.Report(); + return result; +} diff --git a/decoder/bottom_up_parser.h b/decoder/bottom_up_parser.h new file mode 100644 index 00000000..546bfb54 --- /dev/null +++ b/decoder/bottom_up_parser.h @@ -0,0 +1,27 @@ +#ifndef _BOTTOM_UP_PARSER_H_ +#define _BOTTOM_UP_PARSER_H_ + +#include +#include + +#include "lattice.h" +#include "grammar.h" + +class Hypergraph; + +class ExhaustiveBottomUpParser { + public: + ExhaustiveBottomUpParser(const std::string& goal_sym, + const std::vector& grammars); + + // returns true if goal reached spanning the full input + // forest contains the full (i.e., unpruned) parse forest + bool Parse(const Lattice& input, + Hypergraph* forest) const; + + private: + const std::string goal_sym_; + const std::vector grammars_; +}; + +#endif diff --git a/decoder/cdec.cc b/decoder/cdec.cc new file mode 100644 index 00000000..dbf32cb3 --- /dev/null +++ b/decoder/cdec.cc @@ -0,0 +1,592 @@ +#include +#include +#include +#include + +#include +#include +#include + +#include "timing_stats.h" +#include "translator.h" +#include "phrasebased_translator.h" +#include "aligner.h" +#include "stringlib.h" +#include "forest_writer.h" +#include "hg_io.h" +#include "filelib.h" +#include "sampler.h" +#include "sparse_vector.h" +#include "tagger.h" +#include "lextrans.h" +#include "lexalign.h" +#include "csplit.h" +#include "weights.h" +#include "tdict.h" +#include "ff.h" +#include "ff_factory.h" +#include "hg_intersect.h" +#include "apply_models.h" +#include "viterbi.h" +#include "kbest.h" +#include "inside_outside.h" +#include "exp_semiring.h" +#include "sentence_metadata.h" + +using namespace std; +using namespace std::tr1; +using boost::shared_ptr; +namespace po = boost::program_options; + +// some globals ... +boost::shared_ptr > rng; +static const double kMINUS_EPSILON = -1e-6; // don't be too strict + +namespace Hack { void MaxTrans(const Hypergraph& in, int beam_size); } +namespace NgramCache { void Clear(); } + +void ShowBanner() { + cerr << "cdec v1.0 (c) 2009-2010 by Chris Dyer\n"; +} + +void ConvertSV(const SparseVector& src, SparseVector* trg) { + for (SparseVector::const_iterator it = src.begin(); it != src.end(); ++it) + trg->set_value(it->first, it->second); +} + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("formalism,f",po::value(),"Decoding formalism; values include SCFG, FST, PB, LexTrans (lexical translation model, also disc training), CSplit (compound splitting), Tagger (sequence labeling), LexAlign (alignment only, or EM training)") + ("input,i",po::value()->default_value("-"),"Source file") + ("grammar,g",po::value >()->composing(),"Either SCFG grammar file(s) or phrase tables file(s)") + ("weights,w",po::value(),"Feature weights file") + ("no_freeze_feature_set,Z", "Do not freeze feature set after reading feature weights file") + ("feature_function,F",po::value >()->composing(), "Additional feature function(s) (-L for list)") + ("list_feature_functions,L","List available feature functions") + ("add_pass_through_rules,P","Add rules to translate OOV words as themselves") + ("k_best,k",po::value(),"Extract the k best derivations") + ("unique_k_best,r", "Unique k-best translation list") + ("aligner,a", "Run as a word/phrase aligner (src & ref required)") + ("intersection_strategy,I",po::value()->default_value("cube_pruning"), "Intersection strategy for incorporating finite-state features; values include Cube_pruning, Full") + ("cubepruning_pop_limit,K",po::value()->default_value(200), "Max number of pops from the candidate heap at each node") + ("goal",po::value()->default_value("S"),"Goal symbol (SCFG & FST)") + ("scfg_extra_glue_grammar", po::value(), "Extra glue grammar file (Glue grammars apply when i=0 but have no other span restrictions)") + ("scfg_no_hiero_glue_grammar,n", "No Hiero glue grammar (nb. by default the SCFG decoder adds Hiero glue rules)") + ("scfg_default_nt,d",po::value()->default_value("X"),"Default non-terminal symbol in SCFG") + ("scfg_max_span_limit,S",po::value()->default_value(10),"Maximum non-terminal span limit (except \"glue\" grammar)") + ("show_tree_structure", "Show the Viterbi derivation structure") + ("show_expected_length", "Show the expected translation length under the model") + ("show_partition,z", "Compute and show the partition (inside score)") + ("show_cfg_search_space", "Show the search space as a CFG") + ("beam_prune", po::value(), "Prune paths from +LM forest") + ("lexalign_use_null", "Support source-side null words in lexical translation") + ("tagger_tagset,t", po::value(), "(Tagger) file containing tag set") + ("csplit_output_plf", "(Compound splitter) Output lattice in PLF format") + ("csplit_preserve_full_word", "(Compound splitter) Always include the unsegmented form in the output lattice") + ("extract_rules", po::value(), "Extract the rules used in translation (de-duped) to this file") + ("graphviz","Show (constrained) translation forest in GraphViz format") + ("max_translation_beam,x", po::value(), "Beam approximation to get max translation from the chart") + ("max_translation_sample,X", po::value(), "Sample the max translation from the chart") + ("pb_max_distortion,D", po::value()->default_value(4), "Phrase-based decoder: maximum distortion") + ("cll_gradient,G","Compute conditional log-likelihood gradient and write to STDOUT (src & ref required)") + ("crf_uniform_empirical", "If there are multple references use (i.e., lattice) a uniform distribution rather than posterior weighting a la EM") + ("feature_expectations","Write feature expectations for all features in chart (**OBJ** will be the partition)") + ("vector_format",po::value()->default_value("b64"), "Sparse vector serialization format for feature expectations or gradients, includes (text or b64)") + ("combine_size,C",po::value()->default_value(1), "When option -G is used, process this many sentence pairs before writing the gradient (1=emit after every sentence pair)") + ("forest_output,O",po::value(),"Directory to write forests to") + ("minimal_forests,m","Write minimal forests (excludes Rule information). Such forests can be used for ML/MAP training, but not rescoring, etc."); + po::options_description clo("Command line options"); + clo.add_options() + ("config,c", po::value(), "Configuration file") + ("help,h", "Print this help message and exit"); + po::options_description dconfig_options, dcmdline_options; + dconfig_options.add(opts); + dcmdline_options.add(opts).add(clo); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + if (conf->count("config")) { + const string cfg = (*conf)["config"].as(); + cerr << "Configuration file: " << cfg << endl; + ifstream config(cfg.c_str()); + po::store(po::parse_config_file(config, dconfig_options), *conf); + } + po::notify(*conf); + + if (conf->count("list_feature_functions")) { + cerr << "Available feature functions (specify with -F):\n"; + global_ff_registry->DisplayList(); + cerr << endl; + exit(1); + } + + if (conf->count("help") || conf->count("formalism") == 0) { + cerr << dcmdline_options << endl; + exit(1); + } + + const string formalism = LowercaseString((*conf)["formalism"].as()); + if (formalism != "scfg" && formalism != "fst" && formalism != "lextrans" && formalism != "pb" && formalism != "csplit" && formalism != "tagger" && formalism != "lexalign") { + cerr << "Error: --formalism takes only 'scfg', 'fst', 'pb', 'csplit', 'lextrans', 'lexalign', or 'tagger'\n"; + cerr << dcmdline_options << endl; + exit(1); + } +} + +// TODO move out of cdec into some sampling decoder file +void SampleRecurse(const Hypergraph& hg, const vector& ss, int n, vector* out) { + const SampleSet& s = ss[n]; + int i = rng->SelectSample(s); + const Hypergraph::Edge& edge = hg.edges_[hg.nodes_[n].in_edges_[i]]; + vector > ants(edge.tail_nodes_.size()); + for (int j = 0; j < ants.size(); ++j) + SampleRecurse(hg, ss, edge.tail_nodes_[j], &ants[j]); + + vector*> pants(ants.size()); + for (int j = 0; j < ants.size(); ++j) pants[j] = &ants[j]; + edge.rule_->ESubstitute(pants, out); +} + +struct SampleSort { + bool operator()(const pair& a, const pair& b) const { + return a.first > b.first; + } +}; + +// TODO move out of cdec into some sampling decoder file +void MaxTranslationSample(Hypergraph* hg, const int samples, const int k) { + unordered_map > m; + hg->PushWeightsToGoal(); + const int num_nodes = hg->nodes_.size(); + vector ss(num_nodes); + for (int i = 0; i < num_nodes; ++i) { + SampleSet& s = ss[i]; + const vector& in_edges = hg->nodes_[i].in_edges_; + for (int j = 0; j < in_edges.size(); ++j) { + s.add(hg->edges_[in_edges[j]].edge_prob_); + } + } + for (int i = 0; i < samples; ++i) { + vector yield; + SampleRecurse(*hg, ss, hg->nodes_.size() - 1, &yield); + const string trans = TD::GetString(yield); + ++m[trans]; + } + vector > dist; + for (unordered_map >::iterator i = m.begin(); + i != m.end(); ++i) { + dist.push_back(make_pair(i->second, i->first)); + } + sort(dist.begin(), dist.end(), SampleSort()); + if (k) { + for (int i = 0; i < k; ++i) + cout << dist[i].first << " ||| " << dist[i].second << endl; + } else { + cout << dist[0].second << endl; + } +} + +// TODO decoder output should probably be moved to another file +void DumpKBest(const int sent_id, const Hypergraph& forest, const int k, const bool unique) { +cerr << "In kbest\n"; + if (unique) { + KBest::KBestDerivations, ESentenceTraversal, KBest::FilterUnique> kbest(forest, k); + for (int i = 0; i < k; ++i) { + const KBest::KBestDerivations, ESentenceTraversal, KBest::FilterUnique>::Derivation* d = + kbest.LazyKthBest(forest.nodes_.size() - 1, i); + if (!d) break; + cout << sent_id << " ||| " << TD::GetString(d->yield) << " ||| " + << d->feature_values << " ||| " << log(d->score) << endl; + } + } else { + KBest::KBestDerivations, ESentenceTraversal> kbest(forest, k); + for (int i = 0; i < k; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest.LazyKthBest(forest.nodes_.size() - 1, i); + if (!d) break; + cout << sent_id << " ||| " << TD::GetString(d->yield) << " ||| " + << d->feature_values << " ||| " << log(d->score) << endl; + } + } +} + +struct ELengthWeightFunction { + double operator()(const Hypergraph::Edge& e) const { + return e.rule_->ELength() - e.rule_->Arity(); + } +}; + + +struct TRPHash { + size_t operator()(const TRulePtr& o) const { return reinterpret_cast(o.get()); } +}; +static void ExtractRulesDedupe(const Hypergraph& hg, ostream* os) { + static unordered_set written; + for (int i = 0; i < hg.edges_.size(); ++i) { + const TRulePtr& rule = hg.edges_[i].rule_; + if (written.insert(rule).second) { + (*os) << rule->AsString() << endl; + } + } +} + +void register_feature_functions(); + +int main(int argc, char** argv) { + global_ff_registry.reset(new FFRegistry); + register_feature_functions(); + ShowBanner(); + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + const bool write_gradient = conf.count("cll_gradient"); + const bool feature_expectations = conf.count("feature_expectations"); + if (write_gradient && feature_expectations) { + cerr << "You can only specify --gradient or --feature_expectations, not both!\n"; + exit(1); + } + const bool output_training_vector = (write_gradient || feature_expectations); + + boost::shared_ptr translator; + const string formalism = LowercaseString(conf["formalism"].as()); + const bool csplit_preserve_full_word = conf.count("csplit_preserve_full_word"); + if (csplit_preserve_full_word && + (formalism != "csplit" || !conf.count("beam_prune"))) { + cerr << "--csplit_preserve_full_word should only be " + << "used with csplit AND --beam_prune!\n"; + exit(1); + } + const bool csplit_output_plf = conf.count("csplit_output_plf"); + if (csplit_output_plf && formalism != "csplit") { + cerr << "--csplit_output_plf should only be used with csplit!\n"; + exit(1); + } + + // load feature weights (and possibly freeze feature set) + vector feature_weights; + Weights w; + if (conf.count("weights")) { + w.InitFromFile(conf["weights"].as()); + feature_weights.resize(FD::NumFeats()); + w.InitVector(&feature_weights); + if (!conf.count("no_freeze_feature_set")) { + cerr << "Freezing feature set (use --no_freeze_feature_set to change)." << endl; + FD::Freeze(); + } + } + + // set up translation back end + if (formalism == "scfg") + translator.reset(new SCFGTranslator(conf)); + else if (formalism == "fst") + translator.reset(new FSTTranslator(conf)); + else if (formalism == "pb") + translator.reset(new PhraseBasedTranslator(conf)); + else if (formalism == "csplit") + translator.reset(new CompoundSplit(conf)); + else if (formalism == "lextrans") + translator.reset(new LexicalTrans(conf)); + else if (formalism == "lexalign") + translator.reset(new LexicalAlign(conf)); + else if (formalism == "tagger") + translator.reset(new Tagger(conf)); + else + assert(!"error"); + + // set up additional scoring features + vector > pffs; + vector late_ffs; + if (conf.count("feature_function") > 0) { + const vector& add_ffs = conf["feature_function"].as >(); + for (int i = 0; i < add_ffs.size(); ++i) { + string ff, param; + SplitCommandAndParam(add_ffs[i], &ff, ¶m); + cerr << "Feature: " << ff; + if (param.size() > 0) cerr << " (with config parameters '" << param << "')\n"; + else cerr << " (no config parameters)\n"; + shared_ptr pff = global_ff_registry->Create(ff, param); + if (!pff) { exit(1); } + // TODO check that multiple features aren't trying to set the same fid + pffs.push_back(pff); + late_ffs.push_back(pff.get()); + } + } + ModelSet late_models(feature_weights, late_ffs); + int palg = 1; + if (LowercaseString(conf["intersection_strategy"].as()) == "full") { + palg = 0; + cerr << "Using full intersection (no pruning).\n"; + } + const IntersectionConfiguration inter_conf(palg, conf["cubepruning_pop_limit"].as()); + + const int sample_max_trans = conf.count("max_translation_sample") ? + conf["max_translation_sample"].as() : 0; + if (sample_max_trans) + rng.reset(new RandomNumberGenerator); + const bool aligner_mode = conf.count("aligner"); + const bool minimal_forests = conf.count("minimal_forests"); + const bool graphviz = conf.count("graphviz"); + const bool encode_b64 = conf["vector_format"].as() == "b64"; + const bool kbest = conf.count("k_best"); + const bool unique_kbest = conf.count("unique_k_best"); + const bool crf_uniform_empirical = conf.count("crf_uniform_empirical"); + shared_ptr extract_file; + if (conf.count("extract_rules")) + extract_file.reset(new WriteFile(conf["extract_rules"].as())); + + int combine_size = conf["combine_size"].as(); + if (combine_size < 1) combine_size = 1; + const string input = conf["input"].as(); + cerr << "Reading input from " << ((input == "-") ? "STDIN" : input.c_str()) << endl; + ReadFile in_read(input); + istream *in = in_read.stream(); + assert(*in); + + SparseVector acc_vec; // accumulate gradient + double acc_obj = 0; // accumulate objective + int g_count = 0; // number of gradient pieces computed + int sent_id = -1; // line counter + + while(*in) { + NgramCache::Clear(); // clear ngram cache for remote LM (if used) + Timer::Summarize(); + ++sent_id; + string buf; + getline(*in, buf); + if (buf.empty()) continue; + map sgml; + ProcessAndStripSGML(&buf, &sgml); + if (sgml.find("id") != sgml.end()) + sent_id = atoi(sgml["id"].c_str()); + + cerr << "\nINPUT: "; + if (buf.size() < 100) + cerr << buf << endl; + else { + size_t x = buf.rfind(" ", 100); + if (x == string::npos) x = 100; + cerr << buf.substr(0, x) << " ..." << endl; + } + cerr << " id = " << sent_id << endl; + string to_translate; + Lattice ref; + ParseTranslatorInputLattice(buf, &to_translate, &ref); + const bool has_ref = ref.size() > 0; + SentenceMetadata smeta(sent_id, ref); + const bool hadoop_counters = (write_gradient); + Hypergraph forest; // -LM forest + translator->ProcessMarkupHints(sgml); + Timer t("Translation"); + const bool translation_successful = + translator->Translate(to_translate, &smeta, feature_weights, &forest); + translator->SentenceComplete(); + if (!translation_successful) { + cerr << " NO PARSE FOUND.\n"; + if (hadoop_counters) + cerr << "reporter:counter:UserCounters,FParseFailed,1" << endl; + cout << endl << flush; + continue; + } + cerr << " -LM forest (nodes/edges): " << forest.nodes_.size() << '/' << forest.edges_.size() << endl; + cerr << " -LM forest (paths): " << forest.NumberOfPaths() << endl; + if (conf.count("show_expected_length")) { + const PRPair res = + Inside, + PRWeightFunction >(forest); + cerr << " Expected length (words): " << res.r / res.p << "\t" << res << endl; + } + if (conf.count("show_partition")) { + const prob_t z = Inside(forest); + cerr << " -LM partition log(Z): " << log(z) << endl; + } + if (extract_file) + ExtractRulesDedupe(forest, extract_file->stream()); + vector trans; + const prob_t vs = ViterbiESentence(forest, &trans); + cerr << " -LM Viterbi: " << TD::GetString(trans) << endl; + if (conf.count("show_tree_structure")) + cerr << " -LM tree: " << ViterbiETree(forest) << endl;; + cerr << " -LM Viterbi: " << log(vs) << endl; + + bool has_late_models = !late_models.empty(); + if (has_late_models) { + forest.Reweight(feature_weights); + forest.SortInEdgesByEdgeWeights(); + Hypergraph lm_forest; + ApplyModelSet(forest, + smeta, + late_models, + inter_conf, + &lm_forest); + forest.swap(lm_forest); + forest.Reweight(feature_weights); + trans.clear(); + ViterbiESentence(forest, &trans); + cerr << " +LM forest (nodes/edges): " << forest.nodes_.size() << '/' << forest.edges_.size() << endl; + cerr << " +LM forest (paths): " << forest.NumberOfPaths() << endl; + cerr << " +LM Viterbi: " << TD::GetString(trans) << endl; + } + if (conf.count("beam_prune")) { + vector preserve_mask(forest.edges_.size(), false); + if (csplit_preserve_full_word) + preserve_mask[CompoundSplit::GetFullWordEdgeIndex(forest)] = true; + forest.BeamPruneInsideOutside(1.0, false, conf["beam_prune"].as(), &preserve_mask); + cerr << " Pruned forest (paths): " << forest.NumberOfPaths() << endl; + } + + if (conf.count("forest_output") && !has_ref) { + ForestWriter writer(conf["forest_output"].as(), sent_id); + if (FileExists(writer.fname_)) { + cerr << " Unioning...\n"; + Hypergraph new_hg; + { + ReadFile rf(writer.fname_); + bool succeeded = HypergraphIO::ReadFromJSON(rf.stream(), &new_hg); + assert(succeeded); + } + new_hg.Union(forest); + bool succeeded = writer.Write(new_hg, minimal_forests); + assert(succeeded); + } else { + bool succeeded = writer.Write(forest, minimal_forests); + assert(succeeded); + } + } + + if (sample_max_trans) { + MaxTranslationSample(&forest, sample_max_trans, conf.count("k_best") ? conf["k_best"].as() : 0); + } else { + if (kbest) { + DumpKBest(sent_id, forest, conf["k_best"].as(), unique_kbest); + } else if (csplit_output_plf) { + cout << HypergraphIO::AsPLF(forest, false) << endl; + } else { + if (!graphviz && !has_ref) { + cout << TD::GetString(trans) << endl << flush; + } + } + } + + const int max_trans_beam_size = conf.count("max_translation_beam") ? + conf["max_translation_beam"].as() : 0; + if (max_trans_beam_size) { + Hack::MaxTrans(forest, max_trans_beam_size); + continue; + } + + if (graphviz && !has_ref) forest.PrintGraphviz(); + + // the following are only used if write_gradient is true! + SparseVector full_exp, ref_exp, gradient; + double log_z = 0, log_ref_z = 0; + if (write_gradient) { + const prob_t z = InsideOutside, EdgeFeaturesAndProbWeightFunction>(forest, &full_exp); + log_z = log(z); + full_exp /= z; + } + if (conf.count("show_cfg_search_space")) + HypergraphIO::WriteAsCFG(forest); + if (has_ref) { + if (HG::Intersect(ref, &forest)) { + cerr << " Constr. forest (nodes/edges): " << forest.nodes_.size() << '/' << forest.edges_.size() << endl; + cerr << " Constr. forest (paths): " << forest.NumberOfPaths() << endl; + if (crf_uniform_empirical) { + cerr << " USING UNIFORM WEIGHTS\n"; + for (int i = 0; i < forest.edges_.size(); ++i) + forest.edges_[i].edge_prob_=prob_t::One(); + } else { + forest.Reweight(feature_weights); + cerr << " Constr. VitTree: " << ViterbiFTree(forest) << endl; + } + if (hadoop_counters) + cerr << "reporter:counter:UserCounters,SentencePairsParsed,1" << endl; + if (conf.count("show_partition")) { + const prob_t z = Inside(forest); + cerr << " Contst. partition log(Z): " << log(z) << endl; + } + //DumpKBest(sent_id, forest, 1000); + if (conf.count("forest_output")) { + ForestWriter writer(conf["forest_output"].as(), sent_id); + if (FileExists(writer.fname_)) { + cerr << " Unioning...\n"; + Hypergraph new_hg; + { + ReadFile rf(writer.fname_); + bool succeeded = HypergraphIO::ReadFromJSON(rf.stream(), &new_hg); + assert(succeeded); + } + new_hg.Union(forest); + bool succeeded = writer.Write(new_hg, minimal_forests); + assert(succeeded); + } else { + bool succeeded = writer.Write(forest, minimal_forests); + assert(succeeded); + } + } + if (aligner_mode && !output_training_vector) + AlignerTools::WriteAlignment(smeta.GetSourceLattice(), smeta.GetReference(), forest, &cout); + if (write_gradient) { + const prob_t ref_z = InsideOutside, EdgeFeaturesAndProbWeightFunction>(forest, &ref_exp); + ref_exp /= ref_z; + if (crf_uniform_empirical) { + log_ref_z = ref_exp.dot(feature_weights); + } else { + log_ref_z = log(ref_z); + } + //cerr << " MODEL LOG Z: " << log_z << endl; + //cerr << " EMPIRICAL LOG Z: " << log_ref_z << endl; + if ((log_z - log_ref_z) < kMINUS_EPSILON) { + cerr << "DIFF. ERR! log_z < log_ref_z: " << log_z << " " << log_ref_z << endl; + exit(1); + } + assert(!isnan(log_ref_z)); + ref_exp -= full_exp; + acc_vec += ref_exp; + acc_obj += (log_z - log_ref_z); + } + if (feature_expectations) { + const prob_t z = + InsideOutside, EdgeFeaturesAndProbWeightFunction>(forest, &ref_exp); + ref_exp /= z; + acc_obj += log(z); + acc_vec += ref_exp; + } + + if (output_training_vector) { + acc_vec.clear_value(0); + ++g_count; + if (g_count % combine_size == 0) { + if (encode_b64) { + cout << "0\t"; + SparseVector dav; ConvertSV(acc_vec, &dav); + B64::Encode(acc_obj, dav, &cout); + cout << endl << flush; + } else { + cout << "0\t**OBJ**=" << acc_obj << ';' << acc_vec << endl << flush; + } + acc_vec.clear(); + acc_obj = 0; + } + } + if (conf.count("graphviz")) forest.PrintGraphviz(); + } else { + cerr << " REFERENCE UNREACHABLE.\n"; + if (write_gradient) { + if (hadoop_counters) + cerr << "reporter:counter:UserCounters,EFParseFailed,1" << endl; + cout << endl << flush; + } + } + } + } + if (output_training_vector && !acc_vec.empty()) { + if (encode_b64) { + cout << "0\t"; + SparseVector dav; ConvertSV(acc_vec, &dav); + B64::Encode(acc_obj, dav, &cout); + cout << endl << flush; + } else { + cout << "0\t**OBJ**=" << acc_obj << ';' << acc_vec << endl << flush; + } + } +} + diff --git a/decoder/cdec_ff.cc b/decoder/cdec_ff.cc new file mode 100644 index 00000000..d0b93795 --- /dev/null +++ b/decoder/cdec_ff.cc @@ -0,0 +1,32 @@ +#include + +#include "ff.h" +#include "ff_lm.h" +#include "ff_csplit.h" +#include "ff_wordalign.h" +#include "ff_tagger.h" +#include "ff_factory.h" + +boost::shared_ptr global_ff_registry; + +void register_feature_functions() { + global_ff_registry->Register("LanguageModel", new FFFactory); +#ifdef HAVE_RANDLM + global_ff_registry->Register("RandLM", new FFFactory); +#endif + global_ff_registry->Register("WordPenalty", new FFFactory); + global_ff_registry->Register("SourceWordPenalty", new FFFactory); + global_ff_registry->Register("ArityPenalty", new FFFactory); + global_ff_registry->Register("RelativeSentencePosition", new FFFactory); + global_ff_registry->Register("Model2BinaryFeatures", new FFFactory); + global_ff_registry->Register("MarkovJump", new FFFactory); + global_ff_registry->Register("MarkovJumpFClass", new FFFactory); + global_ff_registry->Register("SourcePOSBigram", new FFFactory); + global_ff_registry->Register("BlunsomSynchronousParseHack", new FFFactory); + global_ff_registry->Register("AlignerResults", new FFFactory); + global_ff_registry->Register("CSplit_BasicFeatures", new FFFactory); + global_ff_registry->Register("CSplit_ReverseCharLM", new FFFactory); + global_ff_registry->Register("Tagger_BigramIdentity", new FFFactory); + global_ff_registry->Register("LexicalPairIdentity", new FFFactory); +}; + diff --git a/decoder/csplit.cc b/decoder/csplit.cc new file mode 100644 index 00000000..b1a30fb0 --- /dev/null +++ b/decoder/csplit.cc @@ -0,0 +1,173 @@ +#include "csplit.h" + +#include + +#include "filelib.h" +#include "stringlib.h" +#include "hg.h" +#include "tdict.h" +#include "grammar.h" +#include "sentence_metadata.h" + +using namespace std; + +struct CompoundSplitImpl { + CompoundSplitImpl(const boost::program_options::variables_map& conf) : + fugen_elements_(true), // TODO configure + min_size_(3), + kXCAT(TD::Convert("X")*-1), + kWORDBREAK_RULE(new TRule("[X] ||| # ||| #")), + kTEMPLATE_RULE(new TRule("[X] ||| [X,1] ? ||| [1] ?")), + kGOAL_RULE(new TRule("[Goal] ||| [X,1] ||| [1]")), + kFUGEN_S(FD::Convert("FugS")), + kFUGEN_N(FD::Convert("FugN")) {} + + void PasteTogetherStrings(const vector& chars, + const int i, + const int j, + string* yield) { + int size = 0; + for (int k=i; kresize(size); + int cur = 0; + for (int k=i; k& chars, + Hypergraph* forest) { + vector nodes(chars.size()+1, -1); + nodes[0] = forest->AddNode(kXCAT)->id_; // source + const int left_rule = forest->AddEdge(kWORDBREAK_RULE, Hypergraph::TailNodeVector())->id_; + forest->ConnectEdgeToHeadNode(left_rule, nodes[0]); + + const int max_split_ = max(static_cast(chars.size()) - min_size_ + 1, 1); + cerr << "max: " << max_split_ << " " << " min: " << min_size_ << endl; + for (int i = min_size_; i < max_split_; ++i) + nodes[i] = forest->AddNode(kXCAT)->id_; + assert(nodes.back() == -1); + nodes.back() = forest->AddNode(kXCAT)->id_; // sink + + for (int i = 0; i < max_split_; ++i) { + if (nodes[i] < 0) continue; + const int start = min(i + min_size_, static_cast(chars.size())); + for (int j = start; j <= chars.size(); ++j) { + if (nodes[j] < 0) continue; + string yield; + PasteTogetherStrings(chars, i, j, &yield); + // cerr << "[" << i << "," << j << "] " << yield << endl; + TRulePtr rule = TRulePtr(new TRule(*kTEMPLATE_RULE)); + rule->e_[1] = rule->f_[1] = TD::Convert(yield); + // cerr << rule->AsString() << endl; + int edge = forest->AddEdge( + rule, + Hypergraph::TailNodeVector(1, nodes[i]))->id_; + forest->ConnectEdgeToHeadNode(edge, nodes[j]); + forest->edges_[edge].i_ = i; + forest->edges_[edge].j_ = j; + + // handle "fugenelemente" here + // don't delete "fugenelemente" at the end of words + if (fugen_elements_ && j != chars.size()) { + const int len = yield.size(); + string alt; + int fid = 0; + if (len > (min_size_ + 2) && yield[len-1] == 's' && yield[len-2] == 'e') { + alt = yield.substr(0, len - 2); + fid = kFUGEN_S; + } else if (len > (min_size_ + 1) && yield[len-1] == 's') { + alt = yield.substr(0, len - 1); + fid = kFUGEN_S; + } else if (len > (min_size_ + 2) && yield[len-2] == 'e' && yield[len-1] == 'n') { + alt = yield.substr(0, len - 1); + fid = kFUGEN_N; + } + if (alt.size()) { + TRulePtr altrule = TRulePtr(new TRule(*rule)); + altrule->e_[1] = TD::Convert(alt); + // cerr << altrule->AsString() << endl; + int edge = forest->AddEdge( + altrule, + Hypergraph::TailNodeVector(1, nodes[i]))->id_; + forest->ConnectEdgeToHeadNode(edge, nodes[j]); + forest->edges_[edge].feature_values_.set_value(fid, 1.0); + forest->edges_[edge].i_ = i; + forest->edges_[edge].j_ = j; + } + } + } + } + + // add goal rule + Hypergraph::TailNodeVector tail(1, forest->nodes_.size() - 1); + Hypergraph::Node* goal = forest->AddNode(TD::Convert("Goal")*-1); + Hypergraph::Edge* hg_edge = forest->AddEdge(kGOAL_RULE, tail); + forest->ConnectEdgeToHeadNode(hg_edge, goal); + } + private: + const bool fugen_elements_; + const int min_size_; + const WordID kXCAT; + const TRulePtr kWORDBREAK_RULE; + const TRulePtr kTEMPLATE_RULE; + const TRulePtr kGOAL_RULE; + const int kFUGEN_S; + const int kFUGEN_N; +}; + +CompoundSplit::CompoundSplit(const boost::program_options::variables_map& conf) : + pimpl_(new CompoundSplitImpl(conf)) {} + +static void SplitUTF8String(const string& in, vector* out) { + out->resize(in.size()); + int i = 0; + int c = 0; + while (i < in.size()) { + const int len = UTF8Len(in[i]); + assert(len); + (*out)[c] = in.substr(i, len); + ++c; + i += len; + } + out->resize(c); +} + +bool CompoundSplit::TranslateImpl(const string& input, + SentenceMetadata* smeta, + const vector& weights, + Hypergraph* forest) { + if (input.find(" ") != string::npos) { + cerr << " BAD INPUT: " << input << "\n CompoundSplit expects single words\n"; + abort(); + } + vector in; + SplitUTF8String(input, &in); + smeta->SetSourceLength(in.size()); // TODO do utf8 or somethign + for (int i = 0; i < in.size(); ++i) + smeta->src_lattice_.push_back(vector(1, LatticeArc(TD::Convert(in[i]), 0.0, 1))); + pimpl_->BuildTrellis(in, forest); + forest->Reweight(weights); + return true; +} + +int CompoundSplit::GetFullWordEdgeIndex(const Hypergraph& forest) { + assert(forest.nodes_.size() > 0); + const vector out_edges = forest.nodes_[0].out_edges_; + int max_edge = -1; + int max_j = -1; + for (int i = 0; i < out_edges.size(); ++i) { + const int j = forest.edges_[out_edges[i]].j_; + if (j > max_j) { + max_j = j; + max_edge = out_edges[i]; + } + } + assert(max_edge >= 0); + assert(max_edge < forest.edges_.size()); + return max_edge; +} + diff --git a/decoder/csplit.h b/decoder/csplit.h new file mode 100644 index 00000000..82ed23fc --- /dev/null +++ b/decoder/csplit.h @@ -0,0 +1,30 @@ +#ifndef _CSPLIT_H_ +#define _CSPLIT_H_ + +#include "translator.h" +#include "lattice.h" + +// this "translator" takes single words (with NO SPACES) and segments +// them using the approach described in: +// +// C. Dyer. (2009) Using a maximum entropy model to build segmentation +// lattices for MT. In Proceedings of NAACL HLT 2009. +// note, an extra word space marker # is inserted at the left edge of +// the forest! +struct CompoundSplitImpl; +struct CompoundSplit : public Translator { + CompoundSplit(const boost::program_options::variables_map& conf); + bool TranslateImpl(const std::string& input, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* forest); + + // given a forest generated by CompoundSplit::Translate, + // find the edge representing the unsegmented form + static int GetFullWordEdgeIndex(const Hypergraph& forest); + + private: + boost::shared_ptr pimpl_; +}; + +#endif diff --git a/decoder/dict.h b/decoder/dict.h new file mode 100644 index 00000000..72e82e6d --- /dev/null +++ b/decoder/dict.h @@ -0,0 +1,43 @@ +#ifndef DICT_H_ +#define DICT_H_ + +#include +#include +#include +#include +#include + +#include + +#include "wordid.h" + +class Dict { + typedef std::tr1::unordered_map > Map; + public: + Dict() : b0_("") { words_.reserve(1000); } + inline int max() const { return words_.size(); } + inline WordID Convert(const std::string& word, bool frozen = false) { + Map::iterator i = d_.find(word); + if (i == d_.end()) { + if (frozen) + return 0; + words_.push_back(word); + d_[word] = words_.size(); + return words_.size(); + } else { + return i->second; + } + } + inline const std::string& Convert(const WordID& id) const { + if (id == 0) return b0_; + assert(id <= words_.size()); + return words_[id-1]; + } + void clear() { words_.clear(); d_.clear(); } + private: + const std::string b0_; + std::vector words_; + Map d_; +}; + +#endif diff --git a/decoder/dict_test.cc b/decoder/dict_test.cc new file mode 100644 index 00000000..694877fa --- /dev/null +++ b/decoder/dict_test.cc @@ -0,0 +1,50 @@ +#include "dict.h" + +#include "fdict.h" + +#include +#include +#include +#include "filelib.h" + +#include "tdict.h" + +using namespace std; + +class DTest : public testing::Test { + public: + DTest() {} + protected: + virtual void SetUp() { } + virtual void TearDown() { } +}; + +TEST_F(DTest, Convert) { + Dict d; + WordID a = d.Convert("foo"); + WordID b = d.Convert("bar"); + std::string x = "foo"; + WordID c = d.Convert(x); + EXPECT_NE(a, b); + EXPECT_EQ(a, c); + EXPECT_EQ(d.Convert(a), "foo"); + EXPECT_EQ(d.Convert(b), "bar"); +} + +TEST_F(DTest, FDictTest) { + int fid = FD::Convert("First"); + EXPECT_GT(fid, 0); + EXPECT_EQ(FD::Convert(fid), "First"); + string x = FD::Escape("="); + cerr << x << endl; + EXPECT_NE(x, "="); + x = FD::Escape(";"); + cerr << x << endl; + EXPECT_NE(x, ";"); +} + +int main(int argc, char** argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} + diff --git a/decoder/earley_composer.cc b/decoder/earley_composer.cc new file mode 100644 index 00000000..f6a01e52 --- /dev/null +++ b/decoder/earley_composer.cc @@ -0,0 +1,726 @@ +#include "earley_composer.h" + +#include +#include +#include +#include +#include + +#include +#include +#include +#include + +#include "phrasetable_fst.h" +#include "sparse_vector.h" +#include "tdict.h" +#include "hg.h" + +using boost::shared_ptr; +namespace po = boost::program_options; +using namespace std; +using namespace std::tr1; + +// Define the following macro if you want to see lots of debugging output +// when you run the chart parser +#undef DEBUG_CHART_PARSER + +// A few constants used by the chart parser /////////////// +static const int kMAX_NODES = 2000000; +static const string kPHRASE_STRING = "X"; +static bool constants_need_init = true; +static WordID kUNIQUE_START; +static WordID kPHRASE; +static TRulePtr kX1X2; +static TRulePtr kX1; +static WordID kEPS; +static TRulePtr kEPSRule; + +static void InitializeConstants() { + if (constants_need_init) { + kPHRASE = TD::Convert(kPHRASE_STRING) * -1; + kUNIQUE_START = TD::Convert("S") * -1; + kX1X2.reset(new TRule("[X] ||| [X,1] [X,2] ||| [X,1] [X,2]")); + kX1.reset(new TRule("[X] ||| [X,1] ||| [X,1]")); + kEPSRule.reset(new TRule("[X] ||| ||| ")); + kEPS = TD::Convert(""); + constants_need_init = false; + } +} +//////////////////////////////////////////////////////////// + +class EGrammarNode { + friend bool EarleyComposer::Compose(const Hypergraph& src_forest, Hypergraph* trg_forest); + friend void AddGrammarRule(const string& r, map* g); + public: +#ifdef DEBUG_CHART_PARSER + string hint; +#endif + EGrammarNode() : is_some_rule_complete(false), is_root(false) {} + const map& GetTerminals() const { return tptr; } + const map& GetNonTerminals() const { return ntptr; } + bool HasNonTerminals() const { return (!ntptr.empty()); } + bool HasTerminals() const { return (!tptr.empty()); } + bool RuleCompletes() const { + return (is_some_rule_complete || (ntptr.empty() && tptr.empty())); + } + bool GrammarContinues() const { + return !(ntptr.empty() && tptr.empty()); + } + bool IsRoot() const { + return is_root; + } + // these are the features associated with the rule from the start + // node up to this point. If you use these features, you must + // not Extend() this rule. + const SparseVector& GetCFGProductionFeatures() const { + return input_features; + } + + const EGrammarNode* Extend(const WordID& t) const { + if (t < 0) { + map::const_iterator it = ntptr.find(t); + if (it == ntptr.end()) return NULL; + return &it->second; + } else { + map::const_iterator it = tptr.find(t); + if (it == tptr.end()) return NULL; + return &it->second; + } + } + + private: + map tptr; + map ntptr; + SparseVector input_features; + bool is_some_rule_complete; + bool is_root; +}; +typedef map EGrammar; // indexed by the rule LHS + +// edges are immutable once created +struct Edge { +#ifdef DEBUG_CHART_PARSER + static int id_count; + const int id; +#endif + const WordID cat; // lhs side of rule proved/being proved + const EGrammarNode* const dot; // dot position + const FSTNode* const q; // start of span + const FSTNode* const r; // end of span + const Edge* const active_parent; // back pointer, NULL for PREDICT items + const Edge* const passive_parent; // back pointer, NULL for SCAN and PREDICT items + const TargetPhraseSet* const tps; // translations + shared_ptr > features; // features from CFG rule + + bool IsPassive() const { + // when a rule is completed, this value will be set + return static_cast(features); + } + bool IsActive() const { return !IsPassive(); } + bool IsInitial() const { + return !(active_parent || passive_parent); + } + bool IsCreatedByScan() const { + return active_parent && !passive_parent && !dot->IsRoot(); + } + bool IsCreatedByPredict() const { + return dot->IsRoot(); + } + bool IsCreatedByComplete() const { + return active_parent && passive_parent; + } + + // constructor for PREDICT + Edge(WordID c, const EGrammarNode* d, const FSTNode* q_and_r) : +#ifdef DEBUG_CHART_PARSER + id(++id_count), +#endif + cat(c), dot(d), q(q_and_r), r(q_and_r), active_parent(NULL), passive_parent(NULL), tps(NULL) {} + Edge(WordID c, const EGrammarNode* d, const FSTNode* q_and_r, const Edge* act_parent) : +#ifdef DEBUG_CHART_PARSER + id(++id_count), +#endif + cat(c), dot(d), q(q_and_r), r(q_and_r), active_parent(act_parent), passive_parent(NULL), tps(NULL) {} + + // constructors for SCAN + Edge(WordID c, const EGrammarNode* d, const FSTNode* i, const FSTNode* j, + const Edge* act_par, const TargetPhraseSet* translations) : +#ifdef DEBUG_CHART_PARSER + id(++id_count), +#endif + cat(c), dot(d), q(i), r(j), active_parent(act_par), passive_parent(NULL), tps(translations) {} + + Edge(WordID c, const EGrammarNode* d, const FSTNode* i, const FSTNode* j, + const Edge* act_par, const TargetPhraseSet* translations, + const SparseVector& feats) : +#ifdef DEBUG_CHART_PARSER + id(++id_count), +#endif + cat(c), dot(d), q(i), r(j), active_parent(act_par), passive_parent(NULL), tps(translations), + features(new SparseVector(feats)) {} + + // constructors for COMPLETE + Edge(WordID c, const EGrammarNode* d, const FSTNode* i, const FSTNode* j, + const Edge* act_par, const Edge *pas_par) : +#ifdef DEBUG_CHART_PARSER + id(++id_count), +#endif + cat(c), dot(d), q(i), r(j), active_parent(act_par), passive_parent(pas_par), tps(NULL) { + assert(pas_par->IsPassive()); + assert(act_par->IsActive()); + } + + Edge(WordID c, const EGrammarNode* d, const FSTNode* i, const FSTNode* j, + const Edge* act_par, const Edge *pas_par, const SparseVector& feats) : +#ifdef DEBUG_CHART_PARSER + id(++id_count), +#endif + cat(c), dot(d), q(i), r(j), active_parent(act_par), passive_parent(pas_par), tps(NULL), + features(new SparseVector(feats)) { + assert(pas_par->IsPassive()); + assert(act_par->IsActive()); + } + + // constructor for COMPLETE query + Edge(const FSTNode* _r) : +#ifdef DEBUG_CHART_PARSER + id(0), +#endif + cat(0), dot(NULL), q(NULL), + r(_r), active_parent(NULL), passive_parent(NULL), tps(NULL) {} + // constructor for MERGE quere + Edge(const FSTNode* _q, int) : +#ifdef DEBUG_CHART_PARSER + id(0), +#endif + cat(0), dot(NULL), q(_q), + r(NULL), active_parent(NULL), passive_parent(NULL), tps(NULL) {} +}; +#ifdef DEBUG_CHART_PARSER +int Edge::id_count = 0; +#endif + +ostream& operator<<(ostream& os, const Edge& e) { + string type = "PREDICT"; + if (e.IsCreatedByScan()) + type = "SCAN"; + else if (e.IsCreatedByComplete()) + type = "COMPLETE"; + os << "[" +#ifdef DEBUG_CHART_PARSER + << '(' << e.id << ") " +#else + << '(' << &e << ") " +#endif + << "q=" << e.q << ", r=" << e.r + << ", cat="<< TD::Convert(e.cat*-1) << ", dot=" + << e.dot +#ifdef DEBUG_CHART_PARSER + << e.dot->hint +#endif + << (e.IsActive() ? ", Active" : ", Passive") + << ", " << type; +#ifdef DEBUG_CHART_PARSER + if (e.active_parent) { os << ", act.parent=(" << e.active_parent->id << ')'; } + if (e.passive_parent) { os << ", psv.parent=(" << e.passive_parent->id << ')'; } +#endif + if (e.tps) { os << ", tps=" << e.tps; } + return os << ']'; +} + +struct Traversal { + const Edge* const edge; // result from the active / passive combination + const Edge* const active; + const Edge* const passive; + Traversal(const Edge* me, const Edge* a, const Edge* p) : edge(me), active(a), passive(p) {} +}; + +struct UniqueTraversalHash { + size_t operator()(const Traversal* t) const { + size_t x = 5381; + x = ((x << 5) + x) ^ reinterpret_cast(t->active); + x = ((x << 5) + x) ^ reinterpret_cast(t->passive); + x = ((x << 5) + x) ^ t->edge->IsActive(); + return x; + } +}; + +struct UniqueTraversalEquals { + size_t operator()(const Traversal* a, const Traversal* b) const { + return (a->passive == b->passive && a->active == b->active && a->edge->IsActive() == b->edge->IsActive()); + } +}; + +struct UniqueEdgeHash { + size_t operator()(const Edge* e) const { + size_t x = 5381; + if (e->IsActive()) { + x = ((x << 5) + x) ^ reinterpret_cast(e->dot); + x = ((x << 5) + x) ^ reinterpret_cast(e->q); + x = ((x << 5) + x) ^ reinterpret_cast(e->r); + x = ((x << 5) + x) ^ static_cast(e->cat); + x += 13; + } else { // with passive edges, we don't care about the dot + x = ((x << 5) + x) ^ reinterpret_cast(e->q); + x = ((x << 5) + x) ^ reinterpret_cast(e->r); + x = ((x << 5) + x) ^ static_cast(e->cat); + } + return x; + } +}; + +struct UniqueEdgeEquals { + bool operator()(const Edge* a, const Edge* b) const { + if (a->IsActive() != b->IsActive()) return false; + if (a->IsActive()) { + return (a->cat == b->cat) && (a->dot == b->dot) && (a->q == b->q) && (a->r == b->r); + } else { + return (a->cat == b->cat) && (a->q == b->q) && (a->r == b->r); + } + } +}; + +struct REdgeHash { + size_t operator()(const Edge* e) const { + size_t x = 5381; + x = ((x << 5) + x) ^ reinterpret_cast(e->r); + return x; + } +}; + +struct REdgeEquals { + bool operator()(const Edge* a, const Edge* b) const { + return (a->r == b->r); + } +}; + +struct QEdgeHash { + size_t operator()(const Edge* e) const { + size_t x = 5381; + x = ((x << 5) + x) ^ reinterpret_cast(e->q); + return x; + } +}; + +struct QEdgeEquals { + bool operator()(const Edge* a, const Edge* b) const { + return (a->q == b->q); + } +}; + +struct EdgeQueue { + queue q; + EdgeQueue() {} + void clear() { while(!q.empty()) q.pop(); } + bool HasWork() const { return !q.empty(); } + const Edge* Next() { const Edge* res = q.front(); q.pop(); return res; } + void AddEdge(const Edge* s) { q.push(s); } +}; + +class EarleyComposerImpl { + public: + EarleyComposerImpl(WordID start_cat, const FSTNode& q_0) : start_cat_(start_cat), q_0_(&q_0) {} + + // returns false if the intersection is empty + bool Compose(const EGrammar& g, Hypergraph* forest) { + goal_node = NULL; + EGrammar::const_iterator sit = g.find(start_cat_); + forest->ReserveNodes(kMAX_NODES); + assert(sit != g.end()); + Edge* init = new Edge(start_cat_, &sit->second, q_0_); + assert(IncorporateNewEdge(init)); + while (exp_agenda.HasWork() || agenda.HasWork()) { + while(exp_agenda.HasWork()) { + const Edge* edge = exp_agenda.Next(); + FinishEdge(edge, forest); + } + if (agenda.HasWork()) { + const Edge* edge = agenda.Next(); +#ifdef DEBUG_CHART_PARSER + cerr << "processing (" << edge->id << ')' << endl; +#endif + if (edge->IsActive()) { + if (edge->dot->HasTerminals()) + DoScan(edge); + if (edge->dot->HasNonTerminals()) { + DoMergeWithPassives(edge); + DoPredict(edge, g); + } + } else { + DoComplete(edge); + } + } + } + if (goal_node) { + forest->PruneUnreachable(goal_node->id_); + forest->EpsilonRemove(kEPS); + } + FreeAll(); + return goal_node; + } + + void FreeAll() { + for (int i = 0; i < free_list_.size(); ++i) + delete free_list_[i]; + free_list_.clear(); + for (int i = 0; i < traversal_free_list_.size(); ++i) + delete traversal_free_list_[i]; + traversal_free_list_.clear(); + all_traversals.clear(); + exp_agenda.clear(); + agenda.clear(); + tps2node.clear(); + edge2node.clear(); + all_edges.clear(); + passive_edges.clear(); + active_edges.clear(); + } + + ~EarleyComposerImpl() { + FreeAll(); + } + + // returns the total number of edges created during composition + int EdgesCreated() const { + return free_list_.size(); + } + + private: + void DoScan(const Edge* edge) { + // here, we assume that the FST will potentially have many more outgoing + // edges than the grammar, which will be just a couple. If you want to + // efficiently handle the case where both are relatively large, this code + // will need to change how the intersection is done. The best general + // solution would probably be the Baeza-Yates double binary search. + + const EGrammarNode* dot = edge->dot; + const FSTNode* r = edge->r; + const map& terms = dot->GetTerminals(); + for (map::const_iterator git = terms.begin(); + git != terms.end(); ++git) { + const FSTNode* next_r = r->Extend(git->first); + if (!next_r) continue; + const EGrammarNode* next_dot = &git->second; + const bool grammar_continues = next_dot->GrammarContinues(); + const bool rule_completes = next_dot->RuleCompletes(); + assert(grammar_continues || rule_completes); + const SparseVector& input_features = next_dot->GetCFGProductionFeatures(); + // create up to 4 new edges! + if (next_r->HasOutgoingNonEpsilonEdges()) { // are there further symbols in the FST? + const TargetPhraseSet* translations = NULL; + if (rule_completes) + IncorporateNewEdge(new Edge(edge->cat, next_dot, edge->q, next_r, edge, translations, input_features)); + if (grammar_continues) + IncorporateNewEdge(new Edge(edge->cat, next_dot, edge->q, next_r, edge, translations)); + } + if (next_r->HasData()) { // indicates a loop back to q_0 in the FST + const TargetPhraseSet* translations = next_r->GetTranslations(); + if (rule_completes) + IncorporateNewEdge(new Edge(edge->cat, next_dot, edge->q, q_0_, edge, translations, input_features)); + if (grammar_continues) + IncorporateNewEdge(new Edge(edge->cat, next_dot, edge->q, q_0_, edge, translations)); + } + } + } + + void DoPredict(const Edge* edge, const EGrammar& g) { + const EGrammarNode* dot = edge->dot; + const map& non_terms = dot->GetNonTerminals(); + for (map::const_iterator git = non_terms.begin(); + git != non_terms.end(); ++git) { + const WordID nt_to_predict = git->first; + //cerr << edge->id << " -- " << TD::Convert(nt_to_predict*-1) << endl; + EGrammar::const_iterator egi = g.find(nt_to_predict); + if (egi == g.end()) { + cerr << "[ERROR] Can't find any grammar rules with a LHS of type " + << TD::Convert(-1*nt_to_predict) << '!' << endl; + continue; + } + assert(edge->IsActive()); + const EGrammarNode* new_dot = &egi->second; + Edge* new_edge = new Edge(nt_to_predict, new_dot, edge->r, edge); + IncorporateNewEdge(new_edge); + } + } + + void DoComplete(const Edge* passive) { +#ifdef DEBUG_CHART_PARSER + cerr << " complete: " << *passive << endl; +#endif + const WordID completed_nt = passive->cat; + const FSTNode* q = passive->q; + const FSTNode* next_r = passive->r; + const Edge query(q); + const pair::iterator, + unordered_multiset::iterator > p = + active_edges.equal_range(&query); + for (unordered_multiset::iterator it = p.first; + it != p.second; ++it) { + const Edge* active = *it; +#ifdef DEBUG_CHART_PARSER + cerr << " pos: " << *active << endl; +#endif + const EGrammarNode* next_dot = active->dot->Extend(completed_nt); + if (!next_dot) continue; + const SparseVector& input_features = next_dot->GetCFGProductionFeatures(); + // add up to 2 rules + if (next_dot->RuleCompletes()) + IncorporateNewEdge(new Edge(active->cat, next_dot, active->q, next_r, active, passive, input_features)); + if (next_dot->GrammarContinues()) + IncorporateNewEdge(new Edge(active->cat, next_dot, active->q, next_r, active, passive)); + } + } + + void DoMergeWithPassives(const Edge* active) { + // edge is active, has non-terminals, we need to find the passives that can extend it + assert(active->IsActive()); + assert(active->dot->HasNonTerminals()); +#ifdef DEBUG_CHART_PARSER + cerr << " merge active with passives: ACT=" << *active << endl; +#endif + const Edge query(active->r, 1); + const pair::iterator, + unordered_multiset::iterator > p = + passive_edges.equal_range(&query); + for (unordered_multiset::iterator it = p.first; + it != p.second; ++it) { + const Edge* passive = *it; + const EGrammarNode* next_dot = active->dot->Extend(passive->cat); + if (!next_dot) continue; + const FSTNode* next_r = passive->r; + const SparseVector& input_features = next_dot->GetCFGProductionFeatures(); + if (next_dot->RuleCompletes()) + IncorporateNewEdge(new Edge(active->cat, next_dot, active->q, next_r, active, passive, input_features)); + if (next_dot->GrammarContinues()) + IncorporateNewEdge(new Edge(active->cat, next_dot, active->q, next_r, active, passive)); + } + } + + // take ownership of edge memory, add to various indexes, etc + // returns true if this edge is new + bool IncorporateNewEdge(Edge* edge) { + free_list_.push_back(edge); + if (edge->passive_parent && edge->active_parent) { + Traversal* t = new Traversal(edge, edge->active_parent, edge->passive_parent); + traversal_free_list_.push_back(t); + if (all_traversals.find(t) != all_traversals.end()) { + return false; + } else { + all_traversals.insert(t); + } + } + exp_agenda.AddEdge(edge); + return true; + } + + bool FinishEdge(const Edge* edge, Hypergraph* hg) { + bool is_new = false; + if (all_edges.find(edge) == all_edges.end()) { +#ifdef DEBUG_CHART_PARSER + cerr << *edge << " is NEW\n"; +#endif + all_edges.insert(edge); + is_new = true; + if (edge->IsPassive()) passive_edges.insert(edge); + if (edge->IsActive()) active_edges.insert(edge); + agenda.AddEdge(edge); + } else { +#ifdef DEBUG_CHART_PARSER + cerr << *edge << " is NOT NEW.\n"; +#endif + } + AddEdgeToTranslationForest(edge, hg); + return is_new; + } + + // build the translation forest + void AddEdgeToTranslationForest(const Edge* edge, Hypergraph* hg) { + assert(hg->nodes_.size() < kMAX_NODES); + Hypergraph::Node* tps = NULL; + // first add any target language rules + if (edge->tps) { + Hypergraph::Node*& node = tps2node[(size_t)edge->tps]; + if (!node) { + // cerr << "Creating phrases for " << edge->tps << endl; + const vector& rules = edge->tps->GetRules(); + node = hg->AddNode(kPHRASE); + for (int i = 0; i < rules.size(); ++i) { + Hypergraph::Edge* hg_edge = hg->AddEdge(rules[i], Hypergraph::TailNodeVector()); + hg_edge->feature_values_ += rules[i]->GetFeatureValues(); + hg->ConnectEdgeToHeadNode(hg_edge, node); + } + } + tps = node; + } + Hypergraph::Node*& head_node = edge2node[edge]; + if (!head_node) + head_node = hg->AddNode(kPHRASE); + if (edge->cat == start_cat_ && edge->q == q_0_ && edge->r == q_0_ && edge->IsPassive()) { + assert(goal_node == NULL || goal_node == head_node); + goal_node = head_node; + } + Hypergraph::TailNodeVector tail; + SparseVector extra; + if (edge->IsCreatedByPredict()) { + // extra.set_value(FD::Convert("predict"), 1); + } else if (edge->IsCreatedByScan()) { + tail.push_back(edge2node[edge->active_parent]->id_); + if (tps) { + tail.push_back(tps->id_); + } + //extra.set_value(FD::Convert("scan"), 1); + } else if (edge->IsCreatedByComplete()) { + tail.push_back(edge2node[edge->active_parent]->id_); + tail.push_back(edge2node[edge->passive_parent]->id_); + //extra.set_value(FD::Convert("complete"), 1); + } else { + assert(!"unexpected edge type!"); + } + //cerr << head_node->id_ << "<--" << *edge << endl; + +#ifdef DEBUG_CHART_PARSER + for (int i = 0; i < tail.size(); ++i) + if (tail[i] == head_node->id_) { + cerr << "ERROR: " << *edge << "\n i=" << i << endl; + if (i == 1) { cerr << "\tP: " << *edge->passive_parent << endl; } + if (i == 0) { cerr << "\tA: " << *edge->active_parent << endl; } + assert(!"self-loop found!"); + } +#endif + Hypergraph::Edge* hg_edge = NULL; + if (tail.size() == 0) { + hg_edge = hg->AddEdge(kEPSRule, tail); + } else if (tail.size() == 1) { + hg_edge = hg->AddEdge(kX1, tail); + } else if (tail.size() == 2) { + hg_edge = hg->AddEdge(kX1X2, tail); + } + if (edge->features) + hg_edge->feature_values_ += *edge->features; + hg_edge->feature_values_ += extra; + hg->ConnectEdgeToHeadNode(hg_edge, head_node); + } + + Hypergraph::Node* goal_node; + EdgeQueue exp_agenda; + EdgeQueue agenda; + unordered_map tps2node; + unordered_map edge2node; + unordered_set all_traversals; + unordered_set all_edges; + unordered_multiset passive_edges; + unordered_multiset active_edges; + vector free_list_; + vector traversal_free_list_; + const WordID start_cat_; + const FSTNode* const q_0_; +}; + +#ifdef DEBUG_CHART_PARSER +static string TrimRule(const string& r) { + size_t start = r.find(" |||") + 5; + size_t end = r.rfind(" |||"); + return r.substr(start, end - start); +} +#endif + +void AddGrammarRule(const string& r, EGrammar* g) { + const size_t pos = r.find(" ||| "); + if (pos == string::npos || r[0] != '[') { + cerr << "Bad rule: " << r << endl; + return; + } + const size_t rpos = r.rfind(" ||| "); + string feats; + string rs = r; + if (rpos != pos) { + feats = r.substr(rpos + 5); + rs = r.substr(0, rpos); + } + string rhs = rs.substr(pos + 5); + string trule = rs + " ||| " + rhs + " ||| " + feats; + TRule tr(trule); +#ifdef DEBUG_CHART_PARSER + string hint_last_rule; +#endif + EGrammarNode* cur = &(*g)[tr.GetLHS()]; + cur->is_root = true; + for (int i = 0; i < tr.FLength(); ++i) { + WordID sym = tr.f()[i]; +#ifdef DEBUG_CHART_PARSER + hint_last_rule = TD::Convert(sym < 0 ? -sym : sym); + cur->hint += " <@@> (*" + hint_last_rule + ") " + TrimRule(tr.AsString()); +#endif + if (sym < 0) + cur = &cur->ntptr[sym]; + else + cur = &cur->tptr[sym]; + } +#ifdef DEBUG_CHART_PARSER + cur->hint += " <@@> (" + hint_last_rule + "*) " + TrimRule(tr.AsString()); +#endif + cur->is_some_rule_complete = true; + cur->input_features = tr.GetFeatureValues(); +} + +EarleyComposer::~EarleyComposer() { + delete pimpl_; +} + +EarleyComposer::EarleyComposer(const FSTNode* fst) { + InitializeConstants(); + pimpl_ = new EarleyComposerImpl(kUNIQUE_START, *fst); +} + +bool EarleyComposer::Compose(const Hypergraph& src_forest, Hypergraph* trg_forest) { + // first, convert the src forest into an EGrammar + EGrammar g; + const int nedges = src_forest.edges_.size(); + const int nnodes = src_forest.nodes_.size(); + vector cats(nnodes); + bool assign_cats = false; + for (int i = 0; i < nnodes; ++i) + if (assign_cats) { + cats[i] = TD::Convert("CAT_" + boost::lexical_cast(i)) * -1; + } else { + cats[i] = src_forest.nodes_[i].cat_; + } + // construct the grammar + for (int i = 0; i < nedges; ++i) { + const Hypergraph::Edge& edge = src_forest.edges_[i]; + const vector& src = edge.rule_->f(); + EGrammarNode* cur = &g[cats[edge.head_node_]]; + cur->is_root = true; + int ntc = 0; + for (int j = 0; j < src.size(); ++j) { + WordID sym = src[j]; + if (sym <= 0) { + sym = cats[edge.tail_nodes_[ntc]]; + ++ntc; + cur = &cur->ntptr[sym]; + } else { + cur = &cur->tptr[sym]; + } + } + cur->is_some_rule_complete = true; + cur->input_features = edge.feature_values_; + } + EGrammarNode& goal_rule = g[kUNIQUE_START]; + assert((goal_rule.ntptr.size() == 1 && goal_rule.tptr.size() == 0) || + (goal_rule.ntptr.size() == 0 && goal_rule.tptr.size() == 1)); + + return pimpl_->Compose(g, trg_forest); +} + +bool EarleyComposer::Compose(istream* in, Hypergraph* trg_forest) { + EGrammar g; + while(*in) { + string line; + getline(*in, line); + if (line.empty()) continue; + AddGrammarRule(line, &g); + } + + return pimpl_->Compose(g, trg_forest); +} diff --git a/decoder/earley_composer.h b/decoder/earley_composer.h new file mode 100644 index 00000000..9f786bf6 --- /dev/null +++ b/decoder/earley_composer.h @@ -0,0 +1,29 @@ +#ifndef _EARLEY_COMPOSER_H_ +#define _EARLEY_COMPOSER_H_ + +#include + +class EarleyComposerImpl; +class FSTNode; +class Hypergraph; + +class EarleyComposer { + public: + ~EarleyComposer(); + EarleyComposer(const FSTNode* phrasetable_root); + bool Compose(const Hypergraph& src_forest, Hypergraph* trg_forest); + + // reads the grammar from a file. There must be a single top-level + // S -> X rule. Anything else is possible. Format is: + // [S] ||| [SS,1] + // [SS] ||| [NP,1] [VP,2] ||| Feature1=0.2 Feature2=-2.3 + // [SS] ||| [VP,1] [NP,2] ||| Feature1=0.8 + // [NP] ||| [DET,1] [N,2] ||| Feature3=2 + // ... + bool Compose(std::istream* grammar_file, Hypergraph* trg_forest); + + private: + EarleyComposerImpl* pimpl_; +}; + +#endif diff --git a/decoder/exp_semiring.h b/decoder/exp_semiring.h new file mode 100644 index 00000000..f91beee4 --- /dev/null +++ b/decoder/exp_semiring.h @@ -0,0 +1,71 @@ +#ifndef _EXP_SEMIRING_H_ +#define _EXP_SEMIRING_H_ + +#include + +// this file implements the first-order expectation semiring described +// in Li & Eisner (EMNLP 2009) + +// requirements: +// RType * RType ==> RType +// PType * PType ==> PType +// RType * PType ==> RType +// good examples: +// PType scalar, RType vector +// BAD examples: +// PType vector, RType scalar +template +struct PRPair { + PRPair() : p(), r() {} + // Inside algorithm requires that T(0) and T(1) + // return the 0 and 1 values of the semiring + explicit PRPair(double x) : p(x), r() {} + PRPair(const PType& p, const RType& r) : p(p), r(r) {} + PRPair& operator+=(const PRPair& o) { + p += o.p; + r += o.r; + return *this; + } + PRPair& operator*=(const PRPair& o) { + r = (o.r * p) + (o.p * r); + p *= o.p; + return *this; + } + PType p; + RType r; +}; + +template +std::ostream& operator<<(std::ostream& o, const PRPair& x) { + return o << '<' << x.p << ", " << x.r << '>'; +} + +template +const PRPair operator+(const PRPair& a, const PRPair& b) { + PRPair result = a; + result += b; + return result; +} + +template +const PRPair operator*(const PRPair& a, const PRPair& b) { + PRPair result = a; + result *= b; + return result; +} + +template +struct PRWeightFunction { + explicit PRWeightFunction(const PWeightFunction& pwf = PWeightFunction(), + const RWeightFunction& rwf = RWeightFunction()) : + pweight(pwf), rweight(rwf) {} + PRPair operator()(const Hypergraph::Edge& e) const { + const P p = pweight(e); + const R r = rweight(e); + return PRPair(p, r * p); + } + const PWeightFunction pweight; + const RWeightFunction rweight; +}; + +#endif diff --git a/decoder/fdict.cc b/decoder/fdict.cc new file mode 100644 index 00000000..7e1b0e1f --- /dev/null +++ b/decoder/fdict.cc @@ -0,0 +1,129 @@ +#include "fdict.h" + +#include + +using namespace std; + +Dict FD::dict_; +bool FD::frozen_ = false; + +static int HexPairValue(const char * code) { + int value = 0; + const char * pch = code; + for (;;) { + int digit = *pch++; + if (digit >= '0' && digit <= '9') { + value += digit - '0'; + } + else if (digit >= 'A' && digit <= 'F') { + value += digit - 'A' + 10; + } + else if (digit >= 'a' && digit <= 'f') { + value += digit - 'a' + 10; + } + else { + return -1; + } + if (pch == code + 2) + return value; + value <<= 4; + } +} + +int UrlDecode(const char *source, char *dest) +{ + char * start = dest; + + while (*source) { + switch (*source) { + case '+': + *(dest++) = ' '; + break; + case '%': + if (source[1] && source[2]) { + int value = HexPairValue(source + 1); + if (value >= 0) { + *(dest++) = value; + source += 2; + } + else { + *dest++ = '?'; + } + } + else { + *dest++ = '?'; + } + break; + default: + *dest++ = *source; + } + source++; + } + + *dest = 0; + return dest - start; +} + +int UrlEncode(const char *source, char *dest, unsigned max) { + static const char *digits = "0123456789ABCDEF"; + unsigned char ch; + unsigned len = 0; + char *start = dest; + + while (len < max - 4 && *source) + { + ch = (unsigned char)*source; + if (*source == ' ') { + *dest++ = '+'; + } + else if (strchr("=:;,_| %", ch)) { + *dest++ = '%'; + *dest++ = digits[(ch >> 4) & 0x0F]; + *dest++ = digits[ ch & 0x0F]; + } + else { + *dest++ = *source; + } + source++; + } + *dest = 0; + return start - dest; +} + +std::string UrlDecodeString(const std::string & encoded) { + const char * sz_encoded = encoded.c_str(); + size_t needed_length = encoded.length(); + for (const char * pch = sz_encoded; *pch; pch++) { + if (*pch == '%') + needed_length += 2; + } + needed_length += 10; + char stackalloc[64]; + char * buf = needed_length > sizeof(stackalloc)/sizeof(*stackalloc) ? + (char *)malloc(needed_length) : stackalloc; + UrlDecode(encoded.c_str(), buf); + std::string result(buf); + if (buf != stackalloc) { + free(buf); + } + return result; +} + +std::string UrlEncodeString(const std::string & decoded) { + const char * sz_decoded = decoded.c_str(); + size_t needed_length = decoded.length() * 3 + 3; + char stackalloc[64]; + char * buf = needed_length > sizeof(stackalloc)/sizeof(*stackalloc) ? + (char *)malloc(needed_length) : stackalloc; + UrlEncode(decoded.c_str(), buf, needed_length); + std::string result(buf); + if (buf != stackalloc) { + free(buf); + } + return result; +} + +string FD::Escape(const string& s) { + return UrlEncodeString(s); +} + diff --git a/decoder/fdict.h b/decoder/fdict.h new file mode 100644 index 00000000..c4236580 --- /dev/null +++ b/decoder/fdict.h @@ -0,0 +1,31 @@ +#ifndef _FDICT_H_ +#define _FDICT_H_ + +#include +#include +#include "dict.h" + +struct FD { + // once the FD is frozen, new features not already in the + // dictionary will return 0 + static void Freeze() { + frozen_ = true; + } + static inline int NumFeats() { + return dict_.max() + 1; + } + static inline WordID Convert(const std::string& s) { + return dict_.Convert(s, frozen_); + } + static inline const std::string& Convert(const WordID& w) { + return dict_.Convert(w); + } + // Escape any string to a form that can be used as the name + // of a weight in a weights file + static std::string Escape(const std::string& s); + static Dict dict_; + private: + static bool frozen_; +}; + +#endif diff --git a/decoder/ff.cc b/decoder/ff.cc new file mode 100644 index 00000000..61f4f0b6 --- /dev/null +++ b/decoder/ff.cc @@ -0,0 +1,137 @@ +#include "ff.h" + +#include "tdict.h" +#include "hg.h" + +using namespace std; + +FeatureFunction::~FeatureFunction() {} + + +void FeatureFunction::FinalTraversalFeatures(const void* ant_state, + SparseVector* features) const { + (void) ant_state; + (void) features; +} + +// Hiero and Joshua use log_10(e) as the value, so I do to +WordPenalty::WordPenalty(const string& param) : + fid_(FD::Convert("WordPenalty")), + value_(-1.0 / log(10)) { + if (!param.empty()) { + cerr << "Warning WordPenalty ignoring parameter: " << param << endl; + } +} + +void WordPenalty::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + (void) smeta; + (void) ant_states; + (void) state; + (void) estimated_features; + features->set_value(fid_, edge.rule_->EWords() * value_); +} + +SourceWordPenalty::SourceWordPenalty(const string& param) : + fid_(FD::Convert("SourceWordPenalty")), + value_(-1.0 / log(10)) { + if (!param.empty()) { + cerr << "Warning SourceWordPenalty ignoring parameter: " << param << endl; + } +} + +void SourceWordPenalty::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + (void) smeta; + (void) ant_states; + (void) state; + (void) estimated_features; + features->set_value(fid_, edge.rule_->FWords() * value_); +} + +ArityPenalty::ArityPenalty(const std::string& param) : + value_(-1.0 / log(10)) { + string fname = "Arity_X"; + for (int i = 0; i < 10; ++i) { + fname[6]=i + '0'; + fids_[i] = FD::Convert(fname); + } +} + +void ArityPenalty::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + (void) smeta; + (void) ant_states; + (void) state; + (void) estimated_features; + features->set_value(fids_[edge.Arity()], value_); +} + +ModelSet::ModelSet(const vector& w, const vector& models) : + models_(models), + weights_(w), + state_size_(0), + model_state_pos_(models.size()) { + for (int i = 0; i < models_.size(); ++i) { + model_state_pos_[i] = state_size_; + state_size_ += models_[i]->NumBytesContext(); + } +} + +void ModelSet::AddFeaturesToEdge(const SentenceMetadata& smeta, + const Hypergraph& hg, + const vector& node_states, + Hypergraph::Edge* edge, + string* context, + prob_t* combination_cost_estimate) const { + context->resize(state_size_); + memset(&(*context)[0], 0, state_size_); + SparseVector est_vals; // only computed if combination_cost_estimate is non-NULL + if (combination_cost_estimate) *combination_cost_estimate = prob_t::One(); + for (int i = 0; i < models_.size(); ++i) { + const FeatureFunction& ff = *models_[i]; + void* cur_ff_context = NULL; + vector ants(edge->tail_nodes_.size()); + bool has_context = ff.NumBytesContext() > 0; + if (has_context) { + int spos = model_state_pos_[i]; + cur_ff_context = &(*context)[spos]; + for (int i = 0; i < ants.size(); ++i) { + ants[i] = &node_states[edge->tail_nodes_[i]][spos]; + } + } + ff.TraversalFeatures(smeta, *edge, ants, &edge->feature_values_, &est_vals, cur_ff_context); + } + if (combination_cost_estimate) + combination_cost_estimate->logeq(est_vals.dot(weights_)); + edge->edge_prob_.logeq(edge->feature_values_.dot(weights_)); +} + +void ModelSet::AddFinalFeatures(const std::string& state, Hypergraph::Edge* edge) const { + assert(1 == edge->rule_->Arity()); + + for (int i = 0; i < models_.size(); ++i) { + const FeatureFunction& ff = *models_[i]; + const void* ant_state = NULL; + bool has_context = ff.NumBytesContext() > 0; + if (has_context) { + int spos = model_state_pos_[i]; + ant_state = &state[spos]; + } + ff.FinalTraversalFeatures(ant_state, &edge->feature_values_); + } + edge->edge_prob_.logeq(edge->feature_values_.dot(weights_)); +} + diff --git a/decoder/ff.h b/decoder/ff.h new file mode 100644 index 00000000..630b3208 --- /dev/null +++ b/decoder/ff.h @@ -0,0 +1,152 @@ +#ifndef _FF_H_ +#define _FF_H_ + +#include + +#include "fdict.h" +#include "hg.h" + +class SentenceMetadata; +class FeatureFunction; // see definition below + +// if you want to develop a new feature, inherit from this class and +// override TraversalFeaturesImpl(...). If it's a feature that returns / +// depends on context, you may also need to implement +// FinalTraversalFeatures(...) +class FeatureFunction { + public: + FeatureFunction() : state_size_() {} + explicit FeatureFunction(int state_size) : state_size_(state_size) {} + virtual ~FeatureFunction(); + + // returns the number of bytes of context that this feature function will + // (maximally) use. By default, 0 ("stateless" models in Hiero/Joshua). + // NOTE: this value is fixed for the instance of your class, you cannot + // use different amounts of memory for different nodes in the forest. + inline int NumBytesContext() const { return state_size_; } + + // Compute the feature values and (if this applies) the estimates of the + // feature values when this edge is used incorporated into a larger context + inline void TraversalFeatures(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_state) const { + TraversalFeaturesImpl(smeta, edge, ant_contexts, + features, estimated_features, out_state); + // TODO it's easy for careless feature function developers to overwrite + // the end of their state and clobber someone else's memory. These bugs + // will be horrendously painful to track down. There should be some + // optional strict mode that's enforced here that adds some kind of + // barrier between the blocks reserved for the residual contexts + } + + // if there's some state left when you transition to the goal state, score + // it here. For example, the language model computes the cost of adding + // and . + virtual void FinalTraversalFeatures(const void* residual_state, + SparseVector* final_features) const; + + protected: + // context is a pointer to a buffer of size NumBytesContext() that the + // feature function can write its state to. It's up to the feature function + // to determine how much space it needs and to determine how to encode its + // residual contextual information since it is OPAQUE to all clients outside + // of the particular FeatureFunction class. There is one exception: + // equality of the contents (i.e., memcmp) is required to determine whether + // two states can be combined. + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const = 0; + + // !!! ONLY call this from subclass *CONSTRUCTORS* !!! + void SetStateSize(size_t state_size) { + state_size_ = state_size; + } + + private: + int state_size_; +}; + +// word penalty feature, for each word on the E side of a rule, +// add value_ +class WordPenalty : public FeatureFunction { + public: + WordPenalty(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const; + private: + const int fid_; + const double value_; +}; + +class SourceWordPenalty : public FeatureFunction { + public: + SourceWordPenalty(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const; + private: + const int fid_; + const double value_; +}; + +class ArityPenalty : public FeatureFunction { + public: + ArityPenalty(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const; + private: + int fids_[10]; + const double value_; +}; + +// this class is a set of FeatureFunctions that can be used to score, rescore, +// etc. a (translation?) forest +class ModelSet { + public: + ModelSet() : state_size_(0) {} + + ModelSet(const std::vector& weights, + const std::vector& models); + + // sets edge->feature_values_ and edge->edge_prob_ + // NOTE: edge must not necessarily be in hg.edges_ but its TAIL nodes + // must be. + void AddFeaturesToEdge(const SentenceMetadata& smeta, + const Hypergraph& hg, + const std::vector& node_states, + Hypergraph::Edge* edge, + std::string* residual_context, + prob_t* combination_cost_estimate = NULL) const; + + void AddFinalFeatures(const std::string& residual_context, + Hypergraph::Edge* edge) const; + + bool empty() const { return models_.empty(); } + private: + std::vector models_; + std::vector weights_; + int state_size_; + std::vector model_state_pos_; +}; + +#endif diff --git a/decoder/ff_csplit.cc b/decoder/ff_csplit.cc new file mode 100644 index 00000000..658603e4 --- /dev/null +++ b/decoder/ff_csplit.cc @@ -0,0 +1,225 @@ +#include "ff_csplit.h" + +#include +#include + +#include "Vocab.h" +#include "Ngram.h" + +#include "sentence_metadata.h" +#include "lattice.h" +#include "tdict.h" +#include "freqdict.h" +#include "filelib.h" +#include "stringlib.h" +#include "tdict.h" + +using namespace std; + +struct BasicCSplitFeaturesImpl { + BasicCSplitFeaturesImpl(const string& param) : + word_count_(FD::Convert("WordCount")), + letters_sq_(FD::Convert("LettersSq")), + letters_sqrt_(FD::Convert("LettersSqrt")), + in_dict_(FD::Convert("InDict")), + short_(FD::Convert("Short")), + long_(FD::Convert("Long")), + oov_(FD::Convert("OOV")), + short_range_(FD::Convert("ShortRange")), + high_freq_(FD::Convert("HighFreq")), + med_freq_(FD::Convert("MedFreq")), + freq_(FD::Convert("Freq")), + fl1_(FD::Convert("FreqLen1")), + fl2_(FD::Convert("FreqLen2")), + bad_(FD::Convert("Bad")) { + vector argv; + int argc = SplitOnWhitespace(param, &argv); + if (argc != 1 && argc != 2) { + cerr << "Expected: freqdict.txt [badwords.txt]\n"; + abort(); + } + freq_dict_.Load(argv[0]); + if (argc == 2) { + ReadFile rf(argv[1]); + istream& in = *rf.stream(); + while(in) { + string badword; + in >> badword; + if (badword.empty()) continue; + bad_words_.insert(TD::Convert(badword)); + } + } + } + + void TraversalFeaturesImpl(const Hypergraph::Edge& edge, + SparseVector* features) const; + + const int word_count_; + const int letters_sq_; + const int letters_sqrt_; + const int in_dict_; + const int short_; + const int long_; + const int oov_; + const int short_range_; + const int high_freq_; + const int med_freq_; + const int freq_; + const int fl1_; + const int fl2_; + const int bad_; + FreqDict freq_dict_; + set bad_words_; +}; + +BasicCSplitFeatures::BasicCSplitFeatures(const string& param) : + pimpl_(new BasicCSplitFeaturesImpl(param)) {} + +void BasicCSplitFeaturesImpl::TraversalFeaturesImpl( + const Hypergraph::Edge& edge, + SparseVector* features) const { + features->set_value(word_count_, 1.0); + features->set_value(letters_sq_, (edge.j_ - edge.i_) * (edge.j_ - edge.i_)); + features->set_value(letters_sqrt_, sqrt(edge.j_ - edge.i_)); + const WordID word = edge.rule_->e_[1]; + const char* sword = TD::Convert(word); + const int len = strlen(sword); + int cur = 0; + int chars = 0; + while(cur < len) { + cur += UTF8Len(sword[cur]); + ++chars; + } + + // these are corrections that attempt to make chars + // more like a phoneme count than a letter count, they + // are only really meaningful for german and should + // probably be gotten rid of + bool has_sch = strstr(sword, "sch"); + bool has_ch = (!has_sch && strstr(sword, "ch")); + bool has_ie = strstr(sword, "ie"); + bool has_zw = strstr(sword, "zw"); + if (has_sch) chars -= 2; + if (has_ch) --chars; + if (has_ie) --chars; + if (has_zw) --chars; + + float freq = freq_dict_.LookUp(word); + if (freq) { + features->set_value(freq_, freq); + features->set_value(in_dict_, 1.0); + } else { + features->set_value(oov_, 1.0); + freq = 99.0f; + } + if (bad_words_.count(word) != 0) + features->set_value(bad_, 1.0); + if (chars < 5) + features->set_value(short_, 1.0); + if (chars > 10) + features->set_value(long_, 1.0); + if (freq < 7.0f) + features->set_value(high_freq_, 1.0); + if (freq > 8.0f && freq < 10.f) + features->set_value(med_freq_, 1.0); + if (freq < 10.0f && chars < 5) + features->set_value(short_range_, 1.0); + + // i don't understand these features, but they really help! + features->set_value(fl1_, sqrt(chars * freq)); + features->set_value(fl2_, freq / chars); +} + +void BasicCSplitFeatures::TraversalFeaturesImpl( + const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const { + (void) smeta; + (void) ant_contexts; + (void) out_context; + (void) estimated_features; + if (edge.Arity() == 0) return; + if (edge.rule_->EWords() != 1) return; + pimpl_->TraversalFeaturesImpl(edge, features); +} + +struct ReverseCharLMCSplitFeatureImpl { + ReverseCharLMCSplitFeatureImpl(const string& param) : + order_(5), + vocab_(*TD::dict_), + ngram_(vocab_, order_) { + kBOS = vocab_.getIndex(""); + kEOS = vocab_.getIndex(""); + File file(param.c_str(), "r", 0); + assert(file); + cerr << "Reading " << order_ << "-gram LM from " << param << endl; + ngram_.read(file); + } + + double LeftPhonotacticProb(const Lattice& inword, const int start) { + const int end = inword.size(); + for (int i = 0; i < order_; ++i) + sc[i] = kBOS; + int sp = min(end - start, order_ - 1); + // cerr << "[" << start << "," << sp << "]\n"; + int ci = (order_ - sp - 1); + int wi = start; + while (sp > 0) { + sc[ci] = inword[wi][0].label; + // cerr << " CHAR: " << TD::Convert(sc[ci]) << " ci=" << ci << endl; + ++wi; + ++ci; + --sp; + } + // cerr << " END ci=" << ci << endl; + sc[ci] = Vocab_None; + const double startprob = ngram_.wordProb(kEOS, sc); + // cerr << " PROB=" << startprob << endl; + return startprob; + } + private: + const int order_; + Vocab& vocab_; + VocabIndex kBOS; + VocabIndex kEOS; + Ngram ngram_; + VocabIndex sc[80]; +}; + +ReverseCharLMCSplitFeature::ReverseCharLMCSplitFeature(const string& param) : + pimpl_(new ReverseCharLMCSplitFeatureImpl(param)), + fid_(FD::Convert("RevCharLM")) {} + +void ReverseCharLMCSplitFeature::TraversalFeaturesImpl( + const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const { + (void) ant_contexts; + (void) estimated_features; + (void) out_context; + + if (edge.Arity() != 1) return; + if (edge.rule_->EWords() != 1) return; + const double lpp = pimpl_->LeftPhonotacticProb(smeta.GetSourceLattice(), edge.i_); + features->set_value(fid_, lpp); +#if 0 + WordID neighbor_word = 0; + const WordID word = edge.rule_->e_[1]; + if (chars > 4 && (sword[0] == 's' || sword[0] == 'n')) { + neighbor_word = TD::Convert(string(&sword[1])); + } + if (neighbor_word) { + float nfreq = freq_dict_.LookUp(neighbor_word); + cerr << "COMPARE: " << TD::Convert(word) << " & " << TD::Convert(neighbor_word) << endl; + if (!nfreq) nfreq = 99.0f; + features->set_value(fdoes_deletion_help_, (freq - nfreq)); + } +#endif +} + diff --git a/decoder/ff_csplit.h b/decoder/ff_csplit.h new file mode 100644 index 00000000..c1cfb64b --- /dev/null +++ b/decoder/ff_csplit.h @@ -0,0 +1,39 @@ +#ifndef _FF_CSPLIT_H_ +#define _FF_CSPLIT_H_ + +#include + +#include "ff.h" + +class BasicCSplitFeaturesImpl; +class BasicCSplitFeatures : public FeatureFunction { + public: + BasicCSplitFeatures(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + boost::shared_ptr pimpl_; +}; + +class ReverseCharLMCSplitFeatureImpl; +class ReverseCharLMCSplitFeature : public FeatureFunction { + public: + ReverseCharLMCSplitFeature(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + boost::shared_ptr pimpl_; + const int fid_; +}; + +#endif diff --git a/decoder/ff_factory.cc b/decoder/ff_factory.cc new file mode 100644 index 00000000..1854e0bb --- /dev/null +++ b/decoder/ff_factory.cc @@ -0,0 +1,35 @@ +#include "ff_factory.h" + +#include "ff.h" + +using boost::shared_ptr; +using namespace std; + +FFFactoryBase::~FFFactoryBase() {} + +void FFRegistry::DisplayList() const { + for (map >::const_iterator it = reg_.begin(); + it != reg_.end(); ++it) { + cerr << " " << it->first << endl; + } +} + +shared_ptr FFRegistry::Create(const string& ffname, const string& param) const { + map >::const_iterator it = reg_.find(ffname); + shared_ptr res; + if (it == reg_.end()) { + cerr << "I don't know how to create feature " << ffname << endl; + } else { + res = it->second->Create(param); + } + return res; +} + +void FFRegistry::Register(const string& ffname, FFFactoryBase* factory) { + if (reg_.find(ffname) != reg_.end()) { + cerr << "Duplicate registration of FeatureFunction with name " << ffname << "!\n"; + abort(); + } + reg_[ffname].reset(factory); +} + diff --git a/decoder/ff_factory.h b/decoder/ff_factory.h new file mode 100644 index 00000000..bc586567 --- /dev/null +++ b/decoder/ff_factory.h @@ -0,0 +1,39 @@ +#ifndef _FF_FACTORY_H_ +#define _FF_FACTORY_H_ + +#include +#include +#include + +#include + +class FeatureFunction; +class FFRegistry; +class FFFactoryBase; +extern boost::shared_ptr global_ff_registry; + +class FFRegistry { + friend int main(int argc, char** argv); + friend class FFFactoryBase; + public: + boost::shared_ptr Create(const std::string& ffname, const std::string& param) const; + void DisplayList() const; + void Register(const std::string& ffname, FFFactoryBase* factory); + private: + FFRegistry() {} + std::map > reg_; +}; + +struct FFFactoryBase { + virtual ~FFFactoryBase(); + virtual boost::shared_ptr Create(const std::string& param) const = 0; +}; + +template +class FFFactory : public FFFactoryBase { + boost::shared_ptr Create(const std::string& param) const { + return boost::shared_ptr(new FF(param)); + } +}; + +#endif diff --git a/decoder/ff_lm.cc b/decoder/ff_lm.cc new file mode 100644 index 00000000..a1dc8b81 --- /dev/null +++ b/decoder/ff_lm.cc @@ -0,0 +1,454 @@ +#include "ff_lm.h" + +#include +#include +#include +#include +#include +#include + +#include + +#include "tdict.h" +#include "Vocab.h" +#include "Ngram.h" +#include "hg.h" +#include "stringlib.h" + +#ifdef HAVE_RANDLM +#include "RandLM.h" +#endif + +using namespace std; + +namespace NgramCache { + struct Cache { + map tree; + float prob; + Cache() : prob() {} + }; + static Cache cache_; + void Clear() { cache_.tree.clear(); } +} + +struct LMClient { + + LMClient(const char* host) : port(6666) { + strcpy(request_buffer, "prob "); + s = const_cast(strchr(host, ':')); // TODO fix const_cast + if (s != NULL) { + *s = '\0'; + ++s; + port = atoi(s); + } + sock = socket(AF_INET, SOCK_STREAM, 0); + hp = gethostbyname(host); + if (hp == NULL) { + cerr << "unknown host " << host << endl; + abort(); + } + bzero((char *)&server, sizeof(server)); + bcopy(hp->h_addr, (char *)&server.sin_addr, hp->h_length); + server.sin_family = hp->h_addrtype; + server.sin_port = htons(port); + + int errors = 0; + while (connect(sock, (struct sockaddr *)&server, sizeof(server)) < 0) { + cerr << "Error: connect()\n"; + sleep(1); + errors++; + if (errors > 3) exit(1); + } + cerr << "Connected to LM on " << host << " on port " << port << endl; + } + + float wordProb(int word, int* context) { + NgramCache::Cache* cur = &NgramCache::cache_; + int i = 0; + while (context[i] > 0) { + cur = &cur->tree[context[i++]]; + } + cur = &cur->tree[word]; + if (cur->prob) { return cur->prob; } + + i = 0; + int pos = TD::AppendString(word, 5, 16000, request_buffer); + while (context[i] > 0) { + assert(pos < 15995); + request_buffer[pos] = ' '; + ++pos; + pos = TD::AppendString(context[i], pos, 16000, request_buffer); + ++i; + } + assert(pos < 15999); + request_buffer[pos] = '\n'; + ++pos; + request_buffer[pos] = 0; + write(sock, request_buffer, pos); + int r = read(sock, res, 6); + int errors = 0; + int cnt = 0; + while (1) { + if (r < 0) { + errors++; sleep(1); + cerr << "Error: read()\n"; + if (errors > 5) exit(1); + } else if (r==0 || res[cnt] == '\n') { break; } + else { + cnt += r; + if (cnt==6) break; + read(sock, &res[cnt], 6-cnt); + } + } + cur->prob = *reinterpret_cast(res); + return cur->prob; + } + + private: + int sock, port; + char *s; + struct hostent *hp; + struct sockaddr_in server; + char res[8]; + char request_buffer[16000]; +}; + +class LanguageModelImpl { + public: + explicit LanguageModelImpl(int order) : + ngram_(*TD::dict_, order), buffer_(), order_(order), state_size_(OrderToStateSize(order) - 1), + floor_(-100.0), + client_(), + kSTART(TD::Convert("")), + kSTOP(TD::Convert("")), + kUNKNOWN(TD::Convert("")), + kNONE(-1), + kSTAR(TD::Convert("<{STAR}>")) {} + + LanguageModelImpl(int order, const string& f) : + ngram_(*TD::dict_, order), buffer_(), order_(order), state_size_(OrderToStateSize(order) - 1), + floor_(-100.0), + client_(NULL), + kSTART(TD::Convert("")), + kSTOP(TD::Convert("")), + kUNKNOWN(TD::Convert("")), + kNONE(-1), + kSTAR(TD::Convert("<{STAR}>")) { + if (f.find("lm://") == 0) { + client_ = new LMClient(f.substr(5).c_str()); + } else { + File file(f.c_str(), "r", 0); + assert(file); + cerr << "Reading " << order_ << "-gram LM from " << f << endl; + ngram_.read(file, false); + } + } + + virtual ~LanguageModelImpl() { + delete client_; + } + + inline int StateSize(const void* state) const { + return *(static_cast(state) + state_size_); + } + + inline void SetStateSize(int size, void* state) const { + *(static_cast(state) + state_size_) = size; + } + + virtual double WordProb(int word, int* context) { + return client_ ? + client_->wordProb(word, context) + : ngram_.wordProb(word, (VocabIndex*)context); + } + + inline double LookupProbForBufferContents(int i) { +// int k = i; cerr << "P("; while(buffer_[k] > 0) { std::cerr << TD::Convert(buffer_[k++]) << " "; } + double p = WordProb(buffer_[i], &buffer_[i+1]); + if (p < floor_) p = floor_; +// cerr << ")=" << p << endl; + return p; + } + + string DebugStateToString(const void* state) const { + int len = StateSize(state); + const int* astate = reinterpret_cast(state); + string res = "["; + for (int i = 0; i < len; ++i) { + res += " "; + res += TD::Convert(astate[i]); + } + res += " ]"; + return res; + } + + inline double ProbNoRemnant(int i, int len) { + int edge = len; + bool flag = true; + double sum = 0.0; + while (i >= 0) { + if (buffer_[i] == kSTAR) { + edge = i; + flag = false; + } else if (buffer_[i] <= 0) { + edge = i; + flag = true; + } else { + if ((edge-i >= order_) || (flag && !(i == (len-1) && buffer_[i] == kSTART))) + sum += LookupProbForBufferContents(i); + } + --i; + } + return sum; + } + + double EstimateProb(const vector& phrase) { + int len = phrase.size(); + buffer_.resize(len + 1); + buffer_[len] = kNONE; + int i = len - 1; + for (int j = 0; j < len; ++j,--i) + buffer_[i] = phrase[j]; + return ProbNoRemnant(len - 1, len); + } + + double EstimateProb(const void* state) { + int len = StateSize(state); + // cerr << "residual len: " << len << endl; + buffer_.resize(len + 1); + buffer_[len] = kNONE; + const int* astate = reinterpret_cast(state); + int i = len - 1; + for (int j = 0; j < len; ++j,--i) + buffer_[i] = astate[j]; + return ProbNoRemnant(len - 1, len); + } + + double FinalTraversalCost(const void* state) { + int slen = StateSize(state); + int len = slen + 2; + // cerr << "residual len: " << len << endl; + buffer_.resize(len + 1); + buffer_[len] = kNONE; + buffer_[len-1] = kSTART; + const int* astate = reinterpret_cast(state); + int i = len - 2; + for (int j = 0; j < slen; ++j,--i) + buffer_[i] = astate[j]; + buffer_[i] = kSTOP; + assert(i == 0); + return ProbNoRemnant(len - 1, len); + } + + double LookupWords(const TRule& rule, const vector& ant_states, void* vstate) { + int len = rule.ELength() - rule.Arity(); + for (int i = 0; i < ant_states.size(); ++i) + len += StateSize(ant_states[i]); + buffer_.resize(len + 1); + buffer_[len] = kNONE; + int i = len - 1; + const vector& e = rule.e(); + for (int j = 0; j < e.size(); ++j) { + if (e[j] < 1) { + const int* astate = reinterpret_cast(ant_states[-e[j]]); + int slen = StateSize(astate); + for (int k = 0; k < slen; ++k) + buffer_[i--] = astate[k]; + } else { + buffer_[i--] = e[j]; + } + } + + double sum = 0.0; + int* remnant = reinterpret_cast(vstate); + int j = 0; + i = len - 1; + int edge = len; + + while (i >= 0) { + if (buffer_[i] == kSTAR) { + edge = i; + } else if (edge-i >= order_) { + sum += LookupProbForBufferContents(i); + } else if (edge == len && remnant) { + remnant[j++] = buffer_[i]; + } + --i; + } + if (!remnant) return sum; + + if (edge != len || len >= order_) { + remnant[j++] = kSTAR; + if (order_-1 < edge) edge = order_-1; + for (int i = edge-1; i >= 0; --i) + remnant[j++] = buffer_[i]; + } + + SetStateSize(j, vstate); + return sum; + } + + static int OrderToStateSize(int order) { + return ((order-1) * 2 + 1) * sizeof(WordID) + 1; + } + + protected: + Ngram ngram_; + vector buffer_; + const int order_; + const int state_size_; + const double floor_; + private: + LMClient* client_; + + public: + const WordID kSTART; + const WordID kSTOP; + const WordID kUNKNOWN; + const WordID kNONE; + const WordID kSTAR; +}; + +LanguageModel::LanguageModel(const string& param) : + fid_(FD::Convert("LanguageModel")) { + vector argv; + int argc = SplitOnWhitespace(param, &argv); + int order = 3; + // TODO add support for -n FeatureName + string filename; + if (argc < 1) { cerr << "LanguageModel requires a filename, minimally!\n"; abort(); } + else if (argc == 1) { filename = argv[0]; } + else if (argc == 2 || argc > 3) { cerr << "Don't understand 'LanguageModel " << param << "'\n"; } + else if (argc == 3) { + if (argv[0] == "-o") { + order = atoi(argv[1].c_str()); + filename = argv[2]; + } else if (argv[1] == "-o") { + order = atoi(argv[2].c_str()); + filename = argv[0]; + } + } + SetStateSize(LanguageModelImpl::OrderToStateSize(order)); + pimpl_ = new LanguageModelImpl(order, filename); +} + +LanguageModel::~LanguageModel() { + delete pimpl_; +} + +string LanguageModel::DebugStateToString(const void* state) const{ + return pimpl_->DebugStateToString(state); +} + +void LanguageModel::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + (void) smeta; + features->set_value(fid_, pimpl_->LookupWords(*edge.rule_, ant_states, state)); + estimated_features->set_value(fid_, pimpl_->EstimateProb(state)); +} + +void LanguageModel::FinalTraversalFeatures(const void* ant_state, + SparseVector* features) const { + features->set_value(fid_, pimpl_->FinalTraversalCost(ant_state)); +} + +#ifdef HAVE_RANDLM +struct RandLMImpl : public LanguageModelImpl { + RandLMImpl(int order, randlm::RandLM* rlm) : + LanguageModelImpl(order), + rlm_(rlm), + oov_(rlm->getWordID(rlm->getOOV())), + rb_(1000, oov_) { + map map_cdec2randlm; + int max_wordid = 0; + for(map::const_iterator it = rlm->vocabStart(); + it != rlm->vocabEnd(); ++it) { + const int cur = TD::Convert(it->first); + map_cdec2randlm[TD::Convert(it->first)] = it->second; + if (cur > max_wordid) max_wordid = cur; + } + cdec2randlm_.resize(max_wordid + 1, oov_); + for (map::iterator it = map_cdec2randlm.begin(); + it != map_cdec2randlm.end(); ++it) + cdec2randlm_[it->first] = it->second; + map_cdec2randlm.clear(); + } + + inline randlm::WordID Convert2RandLM(int w) { + return (w < cdec2randlm_.size() ? cdec2randlm_[w] : oov_); + } + + virtual double WordProb(int word, int* context) { + int i = order_; + int c = 1; + rb_[i] = Convert2RandLM(word); + while (i > 1 && *context > 0) { + --i; + rb_[i] = Convert2RandLM(*context); + ++context; + ++c; + } + const void* finalState = 0; + int found; + //cerr << "I = " << i << endl; + return rlm_->getProb(&rb_[i], c, &found, &finalState); + } + private: + boost::shared_ptr rlm_; + randlm::WordID oov_; + vector cdec2randlm_; + vector rb_; +}; + +LanguageModelRandLM::LanguageModelRandLM(const string& param) : + fid_(FD::Convert("RandLM")) { + vector argv; + int argc = SplitOnWhitespace(param, &argv); + int order = 3; + // TODO add support for -n FeatureName + string filename; + if (argc < 1) { cerr << "RandLM requires a filename, minimally!\n"; abort(); } + else if (argc == 1) { filename = argv[0]; } + else if (argc == 2 || argc > 3) { cerr << "Don't understand 'RandLM " << param << "'\n"; } + else if (argc == 3) { + if (argv[0] == "-o") { + order = atoi(argv[1].c_str()); + filename = argv[2]; + } else if (argv[1] == "-o") { + order = atoi(argv[2].c_str()); + filename = argv[0]; + } + } + SetStateSize(LanguageModelImpl::OrderToStateSize(order)); + int cache_MB = 200; // increase cache size + randlm::RandLM* rlm = randlm::RandLM::initRandLM(filename, order, cache_MB); + assert(rlm != NULL); + pimpl_ = new RandLMImpl(order, rlm); +} + +LanguageModelRandLM::~LanguageModelRandLM() { + delete pimpl_; +} + +void LanguageModelRandLM::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + (void) smeta; + features->set_value(fid_, pimpl_->LookupWords(*edge.rule_, ant_states, state)); + estimated_features->set_value(fid_, pimpl_->EstimateProb(state)); +} + +void LanguageModelRandLM::FinalTraversalFeatures(const void* ant_state, + SparseVector* features) const { + features->set_value(fid_, pimpl_->FinalTraversalCost(ant_state)); +} + +#endif + diff --git a/decoder/ff_lm.h b/decoder/ff_lm.h new file mode 100644 index 00000000..45fc1da7 --- /dev/null +++ b/decoder/ff_lm.h @@ -0,0 +1,55 @@ +#ifndef _LM_FF_H_ +#define _LM_FF_H_ + +#include +#include + +#include "hg.h" +#include "ff.h" +#include "config.h" + +class LanguageModelImpl; + +class LanguageModel : public FeatureFunction { + public: + // param = "filename.lm [-o n]" + LanguageModel(const std::string& param); + ~LanguageModel(); + virtual void FinalTraversalFeatures(const void* context, + SparseVector* features) const; + std::string DebugStateToString(const void* state) const; + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + const int fid_; + mutable LanguageModelImpl* pimpl_; +}; + +#ifdef HAVE_RANDLM +class LanguageModelRandLM : public FeatureFunction { + public: + // param = "filename.lm [-o n]" + LanguageModelRandLM(const std::string& param); + ~LanguageModelRandLM(); + virtual void FinalTraversalFeatures(const void* context, + SparseVector* features) const; + std::string DebugStateToString(const void* state) const; + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + const int fid_; + mutable LanguageModelImpl* pimpl_; +}; +#endif + +#endif diff --git a/decoder/ff_tagger.cc b/decoder/ff_tagger.cc new file mode 100644 index 00000000..7a9d1def --- /dev/null +++ b/decoder/ff_tagger.cc @@ -0,0 +1,96 @@ +#include "ff_tagger.h" + +#include "tdict.h" +#include "sentence_metadata.h" + +#include + +using namespace std; + +Tagger_BigramIdentity::Tagger_BigramIdentity(const std::string& param) : + FeatureFunction(sizeof(WordID)) {} + +void Tagger_BigramIdentity::FireFeature(const WordID& left, + const WordID& right, + SparseVector* features) const { + int& fid = fmap_[left][right]; + if (!fid) { + ostringstream os; + if (right == 0) { + os << "Uni:" << TD::Convert(left); + } else { + os << "Bi:"; + if (left < 0) { os << "BOS"; } else { os << TD::Convert(left); } + os << '_'; + if (right < 0) { os << "EOS"; } else { os << TD::Convert(right); } + } + fid = FD::Convert(os.str()); + } + features->set_value(fid, 1.0); +} + +void Tagger_BigramIdentity::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const { + WordID& out_context = *static_cast(context); + const int arity = edge.Arity(); + if (arity == 0) { + out_context = edge.rule_->e_[0]; + FireFeature(out_context, 0, features); + } else if (arity == 2) { + WordID left = *static_cast(ant_contexts[0]); + WordID right = *static_cast(ant_contexts[1]); + if (edge.i_ == 0 && edge.j_ == 2) + FireFeature(-1, left, features); + FireFeature(left, right, features); + if (edge.i_ == 0 && edge.j_ == smeta.GetSourceLength()) + FireFeature(right, -1, features); + out_context = right; + } +} + +LexicalPairIdentity::LexicalPairIdentity(const std::string& param) {} + +void LexicalPairIdentity::FireFeature(WordID src, + WordID trg, + SparseVector* features) const { + int& fid = fmap_[src][trg]; + if (!fid) { + static map escape; + if (escape.empty()) { + escape[TD::Convert("=")] = TD::Convert("__EQ"); + escape[TD::Convert(";")] = TD::Convert("__SC"); + escape[TD::Convert(",")] = TD::Convert("__CO"); + } + if (escape.count(src)) src = escape[src]; + if (escape.count(trg)) trg = escape[trg]; + ostringstream os; + os << "Id:" << TD::Convert(src) << ':' << TD::Convert(trg); + fid = FD::Convert(os.str()); + } + features->set_value(fid, 1.0); +} + +void LexicalPairIdentity::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const { + const vector& ew = edge.rule_->e_; + const vector& fw = edge.rule_->f_; + for (int i = 0; i < ew.size(); ++i) { + const WordID& e = ew[i]; + if (e <= 0) continue; + for (int j = 0; j < fw.size(); ++j) { + const WordID& f = fw[j]; + if (f <= 0) continue; + FireFeature(f, e, features); + } + } +} + + diff --git a/decoder/ff_tagger.h b/decoder/ff_tagger.h new file mode 100644 index 00000000..41c3ee5b --- /dev/null +++ b/decoder/ff_tagger.h @@ -0,0 +1,51 @@ +#ifndef _FF_TAGGER_H_ +#define _FF_TAGGER_H_ + +#include +#include "ff.h" + +typedef std::map Class2FID; +typedef std::map Class2Class2FID; + +// the reason this is a "tagger" feature is that it assumes that +// the sequence unfolds from left to right, which means it doesn't +// have to split states based on left context. +// fires unigram features as well +class Tagger_BigramIdentity : public FeatureFunction { + public: + Tagger_BigramIdentity(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const; + private: + void FireFeature(const WordID& left, + const WordID& right, + SparseVector* features) const; + mutable Class2Class2FID fmap_; +}; + +// for each pair of symbols cooccuring in a lexicalized rule, fire +// a feature (mostly used for tagging, but could be used for any model) +class LexicalPairIdentity : public FeatureFunction { + public: + LexicalPairIdentity(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const; + private: + void FireFeature(WordID src, + WordID trg, + SparseVector* features) const; + mutable Class2Class2FID fmap_; +}; + + +#endif diff --git a/decoder/ff_test.cc b/decoder/ff_test.cc new file mode 100644 index 00000000..9e640517 --- /dev/null +++ b/decoder/ff_test.cc @@ -0,0 +1,64 @@ +#include +#include +#include +#include +#include +#include "hg.h" +#include "ff_lm.h" +#include "ff.h" +#include "trule.h" +#include "sentence_metadata.h" + +using namespace std; + +LanguageModel* lm_ = NULL; +LanguageModel* lm3_ = NULL; + +class FFTest : public testing::Test { + public: + FFTest() : smeta(0,Lattice()) { + if (!lm_) { + static LanguageModel slm("-o 2 ./test_data/test_2gram.lm.gz"); + lm_ = &slm; + static LanguageModel slm3("./test_data/dummy.3gram.lm -o 3"); + lm3_ = &slm3; + } + } + protected: + virtual void SetUp() { } + virtual void TearDown() { } + SentenceMetadata smeta; +}; + +TEST_F(FFTest, LM3) { + int x = lm3_->NumBytesContext(); + Hypergraph::Edge edge1; + edge1.rule_.reset(new TRule("[X] ||| x y ||| one ||| 1.0 -2.4 3.0")); + Hypergraph::Edge edge2; + edge2.rule_.reset(new TRule("[X] ||| [X,1] a ||| [X,1] two ||| 1.0 -2.4 3.0")); + Hypergraph::Edge edge3; + edge3.rule_.reset(new TRule("[X] ||| [X,1] a ||| zero [X,1] two ||| 1.0 -2.4 3.0")); + vector ants1; + string state(x, '\0'); + SparseVector feats; + SparseVector est; + lm3_->TraversalFeatures(smeta, edge1, ants1, &feats, &est, (void *)&state[0]); + cerr << "returned " << feats << endl; + cerr << edge1.feature_values_ << endl; + cerr << lm3_->DebugStateToString((const void*)&state[0]) << endl; + EXPECT_EQ("[ one ]", lm3_->DebugStateToString((const void*)&state[0])); + ants1.push_back((const void*)&state[0]); + string state2(x, '\0'); + lm3_->TraversalFeatures(smeta, edge2, ants1, &feats, &est, (void *)&state2[0]); + cerr << lm3_->DebugStateToString((const void*)&state2[0]) << endl; + EXPECT_EQ("[ one two ]", lm3_->DebugStateToString((const void*)&state2[0])); + string state3(x, '\0'); + lm3_->TraversalFeatures(smeta, edge3, ants1, &feats, &est, (void *)&state3[0]); + cerr << lm3_->DebugStateToString((const void*)&state3[0]) << endl; + EXPECT_EQ("[ zero one <{STAR}> one two ]", lm3_->DebugStateToString((const void*)&state3[0])); +} + +int main(int argc, char **argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} diff --git a/decoder/ff_wordalign.cc b/decoder/ff_wordalign.cc new file mode 100644 index 00000000..669aa530 --- /dev/null +++ b/decoder/ff_wordalign.cc @@ -0,0 +1,445 @@ +#include "ff_wordalign.h" + +#include +#include +#include +#include + +#include "stringlib.h" +#include "sentence_metadata.h" +#include "hg.h" +#include "fdict.h" +#include "aligner.h" +#include "tdict.h" // Blunsom hack +#include "filelib.h" // Blunsom hack + +static const int MAX_SENTENCE_SIZE = 100; + +using namespace std; + +Model2BinaryFeatures::Model2BinaryFeatures(const string& param) : + fids_(boost::extents[MAX_SENTENCE_SIZE][MAX_SENTENCE_SIZE][MAX_SENTENCE_SIZE]) { + for (int i = 1; i < MAX_SENTENCE_SIZE; ++i) { + for (int j = 0; j < i; ++j) { + for (int k = 0; k < MAX_SENTENCE_SIZE; ++k) { + int& val = fids_[i][j][k]; + val = -1; + if (j < i) { + ostringstream os; + os << "M2FL:" << i << ":TI:" << k << "_SI:" << j; + val = FD::Convert(os.str()); + } + } + } + } +} + +void Model2BinaryFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + // if the source word is either null or the generated word + // has no position in the reference + if (edge.i_ == -1 || edge.prev_i_ == -1) + return; + + assert(smeta.GetTargetLength() > 0); + const int fid = fids_[smeta.GetSourceLength()][edge.i_][edge.prev_i_]; + features->set_value(fid, 1.0); +// cerr << f_len_ << " " << e_len_ << " [" << edge.i_ << "," << edge.j_ << "|" << edge.prev_i_ << "," << edge.prev_j_ << "]\t" << edge.rule_->AsString() << "\tVAL=" << val << endl; +} + + +RelativeSentencePosition::RelativeSentencePosition(const string& param) : + fid_(FD::Convert("RelativeSentencePosition")) { + if (!param.empty()) { + cerr << " Loading word classes from " << param << endl; + condition_on_fclass_ = true; + ReadFile rf(param); + istream& in = *rf.stream(); + set classes; + while(in) { + string line; + getline(in, line); + if (line.empty()) continue; + vector v; + TD::ConvertSentence(line, &v); + pos_.push_back(v); + for (int i = 0; i < v.size(); ++i) + classes.insert(v[i]); + for (set::iterator i = classes.begin(); i != classes.end(); ++i) { + ostringstream os; + os << "RelPos_FC:" << TD::Convert(*i); + fids_[*i] = FD::Convert(os.str()); + } + } + } else { + condition_on_fclass_ = false; + } +} + +void RelativeSentencePosition::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + // if the source word is either null or the generated word + // has no position in the reference + if (edge.i_ == -1 || edge.prev_i_ == -1) + return; + + assert(smeta.GetTargetLength() > 0); + const double val = fabs(static_cast(edge.i_) / smeta.GetSourceLength() - + static_cast(edge.prev_i_) / smeta.GetTargetLength()); + features->set_value(fid_, val); + if (condition_on_fclass_) { + assert(smeta.GetSentenceID() < pos_.size()); + const WordID cur_fclass = pos_[smeta.GetSentenceID()][edge.i_]; + const int fid = fids_.find(cur_fclass)->second; + features->set_value(fid, val); + } +// cerr << f_len_ << " " << e_len_ << " [" << edge.i_ << "," << edge.j_ << "|" << edge.prev_i_ << "," << edge.prev_j_ << "]\t" << edge.rule_->AsString() << "\tVAL=" << val << endl; +} + +MarkovJumpFClass::MarkovJumpFClass(const string& param) : + FeatureFunction(1), + fids_(MAX_SENTENCE_SIZE) { + cerr << " MarkovJumpFClass" << endl; + cerr << "Reading source POS tags from " << param << endl; + ReadFile rf(param); + istream& in = *rf.stream(); + set classes; + while(in) { + string line; + getline(in, line); + if (line.empty()) continue; + vector v; + TD::ConvertSentence(line, &v); + pos_.push_back(v); + for (int i = 0; i < v.size(); ++i) + classes.insert(v[i]); + } + cerr << " (" << pos_.size() << " lines)\n"; + cerr << " Classes: " << classes.size() << endl; + for (int ss = 1; ss < MAX_SENTENCE_SIZE; ++ss) { + map >& cfids = fids_[ss]; + for (set::iterator i = classes.begin(); i != classes.end(); ++i) { + map &fids = cfids[*i]; + for (int j = -ss; j <= ss; ++j) { + ostringstream os; + os << "Jump_FL:" << ss << "_FC:" << TD::Convert(*i) << "_J:" << j; + fids[j] = FD::Convert(os.str()); + } + } + } +} + +void MarkovJumpFClass::FireFeature(const SentenceMetadata& smeta, + int prev_src_pos, + int cur_src_pos, + SparseVector* features) const { + const int jumpsize = cur_src_pos - prev_src_pos; + assert(smeta.GetSentenceID() < pos_.size()); + const WordID cur_fclass = pos_[smeta.GetSentenceID()][cur_src_pos]; + const int fid = fids_[smeta.GetSourceLength()].find(cur_fclass)->second.find(jumpsize)->second; + features->set_value(fid, 1.0); +} + +void MarkovJumpFClass::FinalTraversalFeatures(const void* context, + SparseVector* features) const { + int left_index = *static_cast(context); +// int right_index = cur_flen; + // TODO +} + +void MarkovJumpFClass::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + unsigned char& dpstate = *((unsigned char*)state); + if (edge.Arity() == 0) { + dpstate = static_cast(edge.i_); + } else if (edge.Arity() == 1) { + dpstate = *((unsigned char*)ant_states[0]); + } else if (edge.Arity() == 2) { + int left_index = *((unsigned char*)ant_states[0]); + int right_index = *((unsigned char*)ant_states[1]); + if (right_index == -1) + dpstate = static_cast(left_index); + else + dpstate = static_cast(right_index); +// const WordID cur_fclass = pos_[smeta.GetSentenceID()][right_index]; +// cerr << edge.i_ << "," << edge.j_ << ": fclass=" << TD::Convert(cur_fclass) << " j=" << jumpsize << endl; +// const int fid = fids_[smeta.GetSourceLength()].find(cur_fclass)->second.find(jumpsize)->second; +// features->set_value(fid, 1.0); + FireFeature(smeta, left_index, right_index, features); + } +} + +// std::vector > flen2jump2fid_; +MarkovJump::MarkovJump(const string& param) : + FeatureFunction(1), + fid_(FD::Convert("MarkovJump")), + binary_params_(false) { + cerr << " MarkovJump"; + vector argv; + int argc = SplitOnWhitespace(param, &argv); + if (argc != 1 || !(argv[0] == "-b" || argv[0] == "+b")) { + cerr << "MarkovJump: expected parameters to be -b or +b\n"; + exit(1); + } + binary_params_ = argv[0] == "+b"; + if (binary_params_) { + flen2jump2fid_.resize(MAX_SENTENCE_SIZE); + for (int i = 1; i < MAX_SENTENCE_SIZE; ++i) { + map& jump2fid = flen2jump2fid_[i]; + for (int jump = -i; jump <= i; ++jump) { + ostringstream os; + os << "Jump:FLen:" << i << "_J:" << jump; + jump2fid[jump] = FD::Convert(os.str()); + } + } + } else { + cerr << " (Blunsom & Cohn definition)"; + } + cerr << endl; +} + +// TODO handle NULLs according to Och 2000 +void MarkovJump::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + unsigned char& dpstate = *((unsigned char*)state); + const int flen = smeta.GetSourceLength(); + if (edge.Arity() == 0) { + dpstate = static_cast(edge.i_); + if (edge.prev_i_ == 0) { + if (binary_params_) { + // NULL will be tricky + // TODO initial state distribution, not normal jumps + const int fid = flen2jump2fid_[flen].find(edge.i_ + 1)->second; + features->set_value(fid, 1.0); + } + } else if (edge.prev_i_ == smeta.GetTargetLength() - 1) { + // NULL will be tricky + if (binary_params_) { + int jumpsize = flen - edge.i_; + const int fid = flen2jump2fid_[flen].find(jumpsize)->second; + features->set_value(fid, 1.0); + } + } + } else if (edge.Arity() == 1) { + dpstate = *((unsigned char*)ant_states[0]); + } else if (edge.Arity() == 2) { + int left_index = *((unsigned char*)ant_states[0]); + int right_index = *((unsigned char*)ant_states[1]); + if (right_index == -1) + dpstate = static_cast(left_index); + else + dpstate = static_cast(right_index); + const int jumpsize = right_index - left_index; + + if (binary_params_) { + const int fid = flen2jump2fid_[flen].find(jumpsize)->second; + features->set_value(fid, 1.0); + } else { + features->set_value(fid_, fabs(jumpsize - 1)); // Blunsom and Cohn def + } + } else { + assert(!"something really unexpected is happening"); + } +} + +// state: POS of src word used, number of trg words generated +SourcePOSBigram::SourcePOSBigram(const std::string& param) : + FeatureFunction(sizeof(WordID) + sizeof(int)) { + cerr << "Reading source POS tags from " << param << endl; + ReadFile rf(param); + istream& in = *rf.stream(); + while(in) { + string line; + getline(in, line); + if (line.empty()) continue; + vector v; + TD::ConvertSentence(line, &v); + pos_.push_back(v); + } + cerr << " (" << pos_.size() << " lines)\n"; +} + +void SourcePOSBigram::FinalTraversalFeatures(const void* context, + SparseVector* features) const { + WordID left = *static_cast(context); + int left_wc = *(static_cast(context) + 1); + if (left_wc == 1) + FireFeature(-1, left, features); + FireFeature(left, -1, features); +} + +void SourcePOSBigram::FireFeature(WordID left, + WordID right, + SparseVector* features) const { + int& fid = fmap_[left][right]; + if (!fid) { + ostringstream os; + os << "SP:"; + if (left < 0) { os << "BOS"; } else { os << TD::Convert(left); } + os << '_'; + if (right < 0) { os << "EOS"; } else { os << TD::Convert(right); } + fid = FD::Convert(os.str()); + if (fid == 0) fid = -1; + } + if (fid < 0) return; + features->set_value(fid, 1.0); +} + +void SourcePOSBigram::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const { + WordID& out_context = *static_cast(context); + int& out_word_count = *(static_cast(context) + 1); + const int arity = edge.Arity(); + if (arity == 0) { + assert(smeta.GetSentenceID() < pos_.size()); + const vector& pos_sent = pos_[smeta.GetSentenceID()]; + assert(edge.i_ < pos_sent.size()); + out_context = pos_sent[edge.i_]; + out_word_count = edge.rule_->EWords(); + assert(out_word_count == 1); // this is only defined for lex translation! + // revisit this if you want to translate into null words + } else if (arity == 2) { + WordID left = *static_cast(ant_contexts[0]); + WordID right = *static_cast(ant_contexts[1]); + int left_wc = *(static_cast(ant_contexts[0]) + 1); + int right_wc = *(static_cast(ant_contexts[0]) + 1); + if (left_wc == 1 && right_wc == 1) + FireFeature(-1, left, features); + FireFeature(left, right, features); + out_word_count = left_wc + right_wc; + out_context = right; + } +} + +AlignerResults::AlignerResults(const std::string& param) : + cur_sent_(-1), + cur_grid_(NULL) { + vector argv; + int argc = SplitOnWhitespace(param, &argv); + if (argc != 2) { + cerr << "Required format: AlignerResults [FeatureName] [file.pharaoh]\n"; + exit(1); + } + cerr << " feature: " << argv[0] << "\talignments: " << argv[1] << endl; + fid_ = FD::Convert(argv[0]); + ReadFile rf(argv[1]); + istream& in = *rf.stream(); int lc = 0; + while(in) { + string line; + getline(in, line); + if (!in) break; + ++lc; + is_aligned_.push_back(AlignerTools::ReadPharaohAlignmentGrid(line)); + } + cerr << " Loaded " << lc << " refs\n"; +} + +void AlignerResults::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + if (edge.i_ == -1 || edge.prev_i_ == -1) + return; + + if (cur_sent_ != smeta.GetSentenceID()) { + assert(smeta.HasReference()); + cur_sent_ = smeta.GetSentenceID(); + assert(cur_sent_ < is_aligned_.size()); + cur_grid_ = is_aligned_[cur_sent_].get(); + } + + //cerr << edge.rule_->AsString() << endl; + + int j = edge.i_; // source side (f) + int i = edge.prev_i_; // target side (e) + if (j < cur_grid_->height() && i < cur_grid_->width() && (*cur_grid_)(i, j)) { +// if (edge.rule_->e_[0] == smeta.GetReference()[i][0].label) { + features->set_value(fid_, 1.0); +// cerr << edge.rule_->AsString() << " (" << i << "," << j << ")\n"; +// } + } +} + +BlunsomSynchronousParseHack::BlunsomSynchronousParseHack(const string& param) : + FeatureFunction((100 / 8) + 1), fid_(FD::Convert("NotRef")), cur_sent_(-1) { + ReadFile rf(param); + istream& in = *rf.stream(); int lc = 0; + while(in) { + string line; + getline(in, line); + if (!in) break; + ++lc; + refs_.push_back(vector()); + TD::ConvertSentence(line, &refs_.back()); + } + cerr << " Loaded " << lc << " refs\n"; +} + +void BlunsomSynchronousParseHack::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector& ant_states, + SparseVector* features, + SparseVector* estimated_features, + void* state) const { + if (cur_sent_ != smeta.GetSentenceID()) { + // assert(smeta.HasReference()); + cur_sent_ = smeta.GetSentenceID(); + assert(cur_sent_ < refs_.size()); + cur_ref_ = &refs_[cur_sent_]; + cur_map_.clear(); + for (int i = 0; i < cur_ref_->size(); ++i) { + vector phrase; + for (int j = i; j < cur_ref_->size(); ++j) { + phrase.push_back((*cur_ref_)[j]); + cur_map_[phrase] = i; + } + } + } + //cerr << edge.rule_->AsString() << endl; + for (int i = 0; i < ant_states.size(); ++i) { + if (DoesNotBelong(ant_states[i])) { + //cerr << " ant " << i << " does not belong\n"; + return; + } + } + vector > ants(ant_states.size()); + vector* > pants(ant_states.size()); + for (int i = 0; i < ant_states.size(); ++i) { + AppendAntecedentString(ant_states[i], &ants[i]); + //cerr << " ant[" << i << "]: " << ((int)*(static_cast(ant_states[i]))) << " " << TD::GetString(ants[i]) << endl; + pants[i] = &ants[i]; + } + vector yield; + edge.rule_->ESubstitute(pants, &yield); + //cerr << "YIELD: " << TD::GetString(yield) << endl; + Vec2Int::iterator it = cur_map_.find(yield); + if (it == cur_map_.end()) { + features->set_value(fid_, 1); + //cerr << " BAD!\n"; + return; + } + SetStateMask(it->second, it->second + yield.size(), state); +} + diff --git a/decoder/ff_wordalign.h b/decoder/ff_wordalign.h new file mode 100644 index 00000000..c44ad26b --- /dev/null +++ b/decoder/ff_wordalign.h @@ -0,0 +1,196 @@ +#ifndef _FF_WORD_ALIGN_H_ +#define _FF_WORD_ALIGN_H_ + +#include "ff.h" +#include "array2d.h" + +#include + +class RelativeSentencePosition : public FeatureFunction { + public: + RelativeSentencePosition(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + const int fid_; + bool condition_on_fclass_; + std::vector > pos_; + std::map fids_; // fclass -> fid +}; + +class Model2BinaryFeatures : public FeatureFunction { + public: + Model2BinaryFeatures(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + boost::multi_array fids_; +}; + +class MarkovJump : public FeatureFunction { + public: + MarkovJump(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + const int fid_; + bool binary_params_; + std::vector > flen2jump2fid_; +}; + +class MarkovJumpFClass : public FeatureFunction { + public: + MarkovJumpFClass(const std::string& param); + virtual void FinalTraversalFeatures(const void* context, + SparseVector* features) const; + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const; + + void FireFeature(const SentenceMetadata& smeta, + int prev_src_pos, + int cur_src_pos, + SparseVector* features) const; + + private: + std::vector > > fids_; // flen -> fclass -> jumpsize -> fid + std::vector > pos_; +}; + +typedef std::map Class2FID; +typedef std::map Class2Class2FID; +class SourcePOSBigram : public FeatureFunction { + public: + SourcePOSBigram(const std::string& param); + virtual void FinalTraversalFeatures(const void* context, + SparseVector* features) const; + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* context) const; + private: + void FireFeature(WordID src, + WordID trg, + SparseVector* features) const; + mutable Class2Class2FID fmap_; + std::vector > pos_; +}; + +class AlignerResults : public FeatureFunction { + public: + AlignerResults(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + int fid_; + std::vector > > is_aligned_; + mutable int cur_sent_; + const Array2D mutable* cur_grid_; +}; + +#include +#include +#include +class BlunsomSynchronousParseHack : public FeatureFunction { + public: + BlunsomSynchronousParseHack(const std::string& param); + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + inline bool DoesNotBelong(const void* state) const { + for (int i = 0; i < NumBytesContext(); ++i) { + if (*(static_cast(state) + i)) return false; + } + return true; + } + + inline void AppendAntecedentString(const void* state, std::vector* yield) const { + int i = 0; + int ind = 0; + while (i < NumBytesContext() && !(*(static_cast(state) + i))) { ++i; ind += 8; } + // std::cerr << i << " " << NumBytesContext() << std::endl; + assert(i != NumBytesContext()); + assert(ind < cur_ref_->size()); + int cur = *(static_cast(state) + i); + int comp = 1; + while (comp < 256 && (comp & cur) == 0) { comp <<= 1; ++ind; } + assert(ind < cur_ref_->size()); + assert(comp < 256); + do { + assert(ind < cur_ref_->size()); + yield->push_back((*cur_ref_)[ind]); + ++ind; + comp <<= 1; + if (comp == 256) { + comp = 1; + ++i; + cur = *(static_cast(state) + i); + } + } while (comp & cur); + } + + inline void SetStateMask(int start, int end, void* state) const { + assert((end / 8) < NumBytesContext()); + int i = 0; + int comp = 1; + for (int j = 0; j < start; ++j) { + comp <<= 1; + if (comp == 256) { + ++i; + comp = 1; + } + } + //std::cerr << "SM: " << i << "\n"; + for (int j = start; j < end; ++j) { + *(static_cast(state) + i) |= comp; + //std::cerr << " " << comp << "\n"; + comp <<= 1; + if (comp == 256) { + ++i; + comp = 1; + } + } + //std::cerr << " MASK: " << ((int)*(static_cast(state))) << "\n"; + } + + const int fid_; + mutable int cur_sent_; + typedef std::tr1::unordered_map, int, boost::hash > > Vec2Int; + mutable Vec2Int cur_map_; + const std::vector mutable * cur_ref_; + mutable std::vector > refs_; +}; + +#endif diff --git a/decoder/filelib.cc b/decoder/filelib.cc new file mode 100644 index 00000000..79ad2847 --- /dev/null +++ b/decoder/filelib.cc @@ -0,0 +1,22 @@ +#include "filelib.h" + +#include +#include + +using namespace std; + +bool FileExists(const std::string& fn) { + struct stat info; + int s = stat(fn.c_str(), &info); + return (s==0); +} + +bool DirectoryExists(const string& dir) { + if (access(dir.c_str(),0) == 0) { + struct stat status; + stat(dir.c_str(), &status); + if (status.st_mode & S_IFDIR) return true; + } + return false; +} + diff --git a/decoder/filelib.h b/decoder/filelib.h new file mode 100644 index 00000000..03c22b0d --- /dev/null +++ b/decoder/filelib.h @@ -0,0 +1,70 @@ +#ifndef _FILELIB_H_ +#define _FILELIB_H_ + +#include +#include +#include +#include +#include "gzstream.h" + +bool FileExists(const std::string& file_name); +bool DirectoryExists(const std::string& dir_name); + +// reads from standard in if filename is - +// uncompresses if file ends with .gz +// otherwise, reads from a normal file +class ReadFile { + public: + ReadFile(const std::string& filename) : + no_delete_on_exit_(filename == "-"), + in_(no_delete_on_exit_ ? static_cast(&std::cin) : + (EndsWith(filename, ".gz") ? + static_cast(new igzstream(filename.c_str())) : + static_cast(new std::ifstream(filename.c_str())))) { + if (!no_delete_on_exit_ && !FileExists(filename)) { + std::cerr << "File does not exist: " << filename << std::endl; + abort(); + } + if (!*in_) { + std::cerr << "Failed to open " << filename << std::endl; + abort(); + } + } + ~ReadFile() { + if (!no_delete_on_exit_) delete in_; + } + + inline std::istream* stream() { return in_; } + + private: + static bool EndsWith(const std::string& f, const std::string& suf) { + return (f.size() > suf.size()) && (f.rfind(suf) == f.size() - suf.size()); + } + const bool no_delete_on_exit_; + std::istream* const in_; +}; + +class WriteFile { + public: + WriteFile(const std::string& filename) : + no_delete_on_exit_(filename == "-"), + out_(no_delete_on_exit_ ? static_cast(&std::cout) : + (EndsWith(filename, ".gz") ? + static_cast(new ogzstream(filename.c_str())) : + static_cast(new std::ofstream(filename.c_str())))) {} + ~WriteFile() { + (*out_) << std::flush; + if (!no_delete_on_exit_) delete out_; + } + + inline std::ostream* stream() { return out_; } + + private: + static bool EndsWith(const std::string& f, const std::string& suf) { + return (f.size() > suf.size()) && (f.rfind(suf) == f.size() - suf.size()); + } + const bool no_delete_on_exit_; + std::ostream* const out_; +}; + +#endif diff --git a/decoder/forest_writer.cc b/decoder/forest_writer.cc new file mode 100644 index 00000000..a9117d18 --- /dev/null +++ b/decoder/forest_writer.cc @@ -0,0 +1,23 @@ +#include "forest_writer.h" + +#include + +#include + +#include "filelib.h" +#include "hg_io.h" +#include "hg.h" + +using namespace std; + +ForestWriter::ForestWriter(const std::string& path, int num) : + fname_(path + '/' + boost::lexical_cast(num) + ".json.gz"), used_(false) {} + +bool ForestWriter::Write(const Hypergraph& forest, bool minimal_rules) { + assert(!used_); + used_ = true; + cerr << " Writing forest to " << fname_ << endl; + WriteFile wf(fname_); + return HypergraphIO::WriteToJSON(forest, minimal_rules, wf.stream()); +} + diff --git a/decoder/forest_writer.h b/decoder/forest_writer.h new file mode 100644 index 00000000..819a8940 --- /dev/null +++ b/decoder/forest_writer.h @@ -0,0 +1,16 @@ +#ifndef _FOREST_WRITER_H_ +#define _FOREST_WRITER_H_ + +#include + +class Hypergraph; + +struct ForestWriter { + ForestWriter(const std::string& path, int num); + bool Write(const Hypergraph& forest, bool minimal_rules); + + const std::string fname_; + bool used_; +}; + +#endif diff --git a/decoder/freqdict.cc b/decoder/freqdict.cc new file mode 100644 index 00000000..9e25d346 --- /dev/null +++ b/decoder/freqdict.cc @@ -0,0 +1,29 @@ +#include +#include +#include +#include "freqdict.h" +#include "tdict.h" +#include "filelib.h" + +using namespace std; + +void FreqDict::Load(const std::string& fname) { + cerr << "Reading word frequencies: " << fname << endl; + ReadFile rf(fname); + istream& ifs = *rf.stream(); + int cc=0; + while (ifs) { + std::string word; + ifs >> word; + if (word.size() == 0) continue; + if (word[0] == '#') continue; + double count = 0; + ifs >> count; + assert(count > 0.0); // use -log(f) + counts_[TD::Convert(word)]=count; + ++cc; + if (cc % 10000 == 0) { std::cerr << "."; } + } + std::cerr << "\n"; + std::cerr << "Loaded " << cc << " words\n"; +} diff --git a/decoder/freqdict.h b/decoder/freqdict.h new file mode 100644 index 00000000..9acf0c33 --- /dev/null +++ b/decoder/freqdict.h @@ -0,0 +1,20 @@ +#ifndef _FREQDICT_H_ +#define _FREQDICT_H_ + +#include +#include +#include "wordid.h" + +class FreqDict { + public: + void Load(const std::string& fname); + float LookUp(const WordID& word) const { + std::map::const_iterator i = counts_.find(word); + if (i == counts_.end()) return 0; + return i->second; + } + private: + std::map counts_; +}; + +#endif diff --git a/decoder/fst_translator.cc b/decoder/fst_translator.cc new file mode 100644 index 00000000..38dbd717 --- /dev/null +++ b/decoder/fst_translator.cc @@ -0,0 +1,91 @@ +#include "translator.h" + +#include +#include + +#include "sentence_metadata.h" +#include "filelib.h" +#include "hg.h" +#include "hg_io.h" +#include "earley_composer.h" +#include "phrasetable_fst.h" +#include "tdict.h" + +using namespace std; + +struct FSTTranslatorImpl { + FSTTranslatorImpl(const boost::program_options::variables_map& conf) : + goal_sym(conf["goal"].as()), + kGOAL_RULE(new TRule("[Goal] ||| [" + goal_sym + ",1] ||| [1]")), + kGOAL(TD::Convert("Goal") * -1), + add_pass_through_rules(conf.count("add_pass_through_rules")) { + fst.reset(LoadTextPhrasetable(conf["grammar"].as >())); + ec.reset(new EarleyComposer(fst.get())); + } + + bool Translate(const string& input, + const vector& weights, + Hypergraph* forest) { + bool composed = false; + if (input.find("{\"rules\"") == 0) { + istringstream is(input); + Hypergraph src_cfg_hg; + assert(HypergraphIO::ReadFromJSON(&is, &src_cfg_hg)); + if (add_pass_through_rules) { + SparseVector feats; + feats.set_value(FD::Convert("PassThrough"), 1); + for (int i = 0; i < src_cfg_hg.edges_.size(); ++i) { + const vector& f = src_cfg_hg.edges_[i].rule_->f_; + for (int j = 0; j < f.size(); ++j) { + if (f[j] > 0) { + fst->AddPassThroughTranslation(f[j], feats); + } + } + } + } + composed = ec->Compose(src_cfg_hg, forest); + } else { + const string dummy_grammar("[" + goal_sym + "] ||| " + input + " ||| TOP=1"); + cerr << " Dummy grammar: " << dummy_grammar << endl; + istringstream is(dummy_grammar); + if (add_pass_through_rules) { + vector words; + TD::ConvertSentence(input, &words); + SparseVector feats; + feats.set_value(FD::Convert("PassThrough"), 1); + for (int i = 0; i < words.size(); ++i) + fst->AddPassThroughTranslation(words[i], feats); + } + composed = ec->Compose(&is, forest); + } + if (composed) { + Hypergraph::TailNodeVector tail(1, forest->nodes_.size() - 1); + Hypergraph::Node* goal = forest->AddNode(TD::Convert("Goal")*-1); + Hypergraph::Edge* hg_edge = forest->AddEdge(kGOAL_RULE, tail); + forest->ConnectEdgeToHeadNode(hg_edge, goal); + forest->Reweight(weights); + } + if (add_pass_through_rules) + fst->ClearPassThroughTranslations(); + return composed; + } + + const string goal_sym; + const TRulePtr kGOAL_RULE; + const WordID kGOAL; + const bool add_pass_through_rules; + boost::shared_ptr ec; + boost::shared_ptr fst; +}; + +FSTTranslator::FSTTranslator(const boost::program_options::variables_map& conf) : + pimpl_(new FSTTranslatorImpl(conf)) {} + +bool FSTTranslator::TranslateImpl(const string& input, + SentenceMetadata* smeta, + const vector& weights, + Hypergraph* minus_lm_forest) { + smeta->SetSourceLength(0); // don't know how to compute this + return pimpl_->Translate(input, weights, minus_lm_forest); +} + diff --git a/decoder/grammar.cc b/decoder/grammar.cc new file mode 100644 index 00000000..5eb7887d --- /dev/null +++ b/decoder/grammar.cc @@ -0,0 +1,148 @@ +#include "grammar.h" + +#include +#include +#include + +#include "rule_lexer.h" +#include "filelib.h" +#include "tdict.h" + +using namespace std; + +const vector Grammar::NO_RULES; + +RuleBin::~RuleBin() {} +GrammarIter::~GrammarIter() {} +Grammar::~Grammar() {} + +bool Grammar::HasRuleForSpan(int i, int j, int distance) const { + (void) i; + (void) j; + (void) distance; + return true; // always true by default +} + +struct TextRuleBin : public RuleBin { + int GetNumRules() const { + return rules_.size(); + } + TRulePtr GetIthRule(int i) const { + return rules_[i]; + } + void AddRule(TRulePtr t) { + rules_.push_back(t); + } + int Arity() const { + return rules_.front()->Arity(); + } + void Dump() const { + for (int i = 0; i < rules_.size(); ++i) + cerr << rules_[i]->AsString() << endl; + } + private: + vector rules_; +}; + +struct TextGrammarNode : public GrammarIter { + TextGrammarNode() : rb_(NULL) {} + ~TextGrammarNode() { + delete rb_; + } + const GrammarIter* Extend(int symbol) const { + map::const_iterator i = tree_.find(symbol); + if (i == tree_.end()) return NULL; + return &i->second; + } + + const RuleBin* GetRules() const { + if (rb_) { + //rb_->Dump(); + } + return rb_; + } + + map tree_; + TextRuleBin* rb_; +}; + +struct TGImpl { + TextGrammarNode root_; +}; + +TextGrammar::TextGrammar() : max_span_(10), pimpl_(new TGImpl) {} +TextGrammar::TextGrammar(const string& file) : + max_span_(10), + pimpl_(new TGImpl) { + ReadFromFile(file); +} + +const GrammarIter* TextGrammar::GetRoot() const { + return &pimpl_->root_; +} + +void TextGrammar::AddRule(const TRulePtr& rule) { + if (rule->IsUnary()) { + rhs2unaries_[rule->f().front()].push_back(rule); + unaries_.push_back(rule); + } else { + TextGrammarNode* cur = &pimpl_->root_; + for (int i = 0; i < rule->f_.size(); ++i) + cur = &cur->tree_[rule->f_[i]]; + if (cur->rb_ == NULL) + cur->rb_ = new TextRuleBin; + cur->rb_->AddRule(rule); + } +} + +static void AddRuleHelper(const TRulePtr& new_rule, void* extra) { + static_cast(extra)->AddRule(new_rule); +} + +void TextGrammar::ReadFromFile(const string& filename) { + ReadFile in(filename); + RuleLexer::ReadRules(in.stream(), &AddRuleHelper, this); +} + +bool TextGrammar::HasRuleForSpan(int i, int j, int distance) const { + return (max_span_ >= distance); +} + +GlueGrammar::GlueGrammar(const string& file) : TextGrammar(file) {} + +GlueGrammar::GlueGrammar(const string& goal_nt, const string& default_nt) { + TRulePtr stop_glue(new TRule("[" + goal_nt + "] ||| [" + default_nt + ",1] ||| [" + default_nt + ",1]")); + TRulePtr glue(new TRule("[" + goal_nt + "] ||| [" + goal_nt + ",1] [" + + default_nt + ",2] ||| [" + goal_nt + ",1] [" + default_nt + ",2] ||| Glue=1")); + + AddRule(stop_glue); + AddRule(glue); + //cerr << "GLUE: " << stop_glue->AsString() << endl; + //cerr << "GLUE: " << glue->AsString() << endl; +} + +bool GlueGrammar::HasRuleForSpan(int i, int j, int distance) const { + (void) j; + return (i == 0); +} + +PassThroughGrammar::PassThroughGrammar(const Lattice& input, const string& cat) : + has_rule_(input.size() + 1) { + for (int i = 0; i < input.size(); ++i) { + const vector& alts = input[i]; + for (int k = 0; k < alts.size(); ++k) { + const int j = alts[k].dist2next + i; + has_rule_[i].insert(j); + const string& src = TD::Convert(alts[k].label); + TRulePtr pt(new TRule("[" + cat + "] ||| " + src + " ||| " + src + " ||| PassThrough=1")); + AddRule(pt); +// cerr << "PT: " << pt->AsString() << endl; + } + } +} + +bool PassThroughGrammar::HasRuleForSpan(int i, int j, int distance) const { + const set& hr = has_rule_[i]; + if (i == j) { return !hr.empty(); } + return (hr.find(j) != hr.end()); +} diff --git a/decoder/grammar.h b/decoder/grammar.h new file mode 100644 index 00000000..46886d3a --- /dev/null +++ b/decoder/grammar.h @@ -0,0 +1,89 @@ +#ifndef GRAMMAR_H_ +#define GRAMMAR_H_ + +#include +#include +#include +#include +#include + +#include "lattice.h" +#include "trule.h" + +struct RuleBin { + virtual ~RuleBin(); + virtual int GetNumRules() const = 0; + virtual TRulePtr GetIthRule(int i) const = 0; + virtual int Arity() const = 0; +}; + +struct GrammarIter { + virtual ~GrammarIter(); + virtual const RuleBin* GetRules() const = 0; + virtual const GrammarIter* Extend(int symbol) const = 0; +}; + +struct Grammar { + typedef std::map > Cat2Rules; + static const std::vector NO_RULES; + + virtual ~Grammar(); + virtual const GrammarIter* GetRoot() const = 0; + virtual bool HasRuleForSpan(int i, int j, int distance) const; + const std::string GetGrammarName(){return grammar_name_;} + void SetGrammarName(std::string n) {grammar_name_ = n; } + // cat is the category to be rewritten + inline const std::vector& GetAllUnaryRules() const { + return unaries_; + } + + // get all the unary rules that rewrite category cat + inline const std::vector& GetUnaryRulesForRHS(const WordID& cat) const { + Cat2Rules::const_iterator found = rhs2unaries_.find(cat); + if (found == rhs2unaries_.end()) + return NO_RULES; + else + return found->second; + } + + protected: + Cat2Rules rhs2unaries_; // these must be filled in by subclasses! + std::vector unaries_; + std::string grammar_name_; +}; + +typedef boost::shared_ptr GrammarPtr; + +class TGImpl; +struct TextGrammar : public Grammar { + TextGrammar(); + TextGrammar(const std::string& file); + void SetMaxSpan(int m) { max_span_ = m; } + + virtual const GrammarIter* GetRoot() const; + void AddRule(const TRulePtr& rule); + void ReadFromFile(const std::string& filename); + virtual bool HasRuleForSpan(int i, int j, int distance) const; + const std::vector& GetUnaryRules(const WordID& cat) const; + + private: + int max_span_; + boost::shared_ptr pimpl_; + +}; + +struct GlueGrammar : public TextGrammar { + // read glue grammar from file + explicit GlueGrammar(const std::string& file); + GlueGrammar(const std::string& goal_nt, const std::string& default_nt); // "S", "X" + virtual bool HasRuleForSpan(int i, int j, int distance) const; +}; + +struct PassThroughGrammar : public TextGrammar { + PassThroughGrammar(const Lattice& input, const std::string& cat); + virtual bool HasRuleForSpan(int i, int j, int distance) const; + private: + std::vector > has_rule_; // index by [i][j] +}; + +#endif diff --git a/decoder/grammar_test.cc b/decoder/grammar_test.cc new file mode 100644 index 00000000..62b8f958 --- /dev/null +++ b/decoder/grammar_test.cc @@ -0,0 +1,59 @@ +#include +#include +#include +#include +#include +#include "trule.h" +#include "tdict.h" +#include "grammar.h" +#include "bottom_up_parser.h" +#include "ff.h" +#include "weights.h" + +using namespace std; + +class GrammarTest : public testing::Test { + public: + GrammarTest() { + wts.InitFromFile("test_data/weights.gt"); + } + protected: + virtual void SetUp() { } + virtual void TearDown() { } + Weights wts; +}; + +TEST_F(GrammarTest,TestTextGrammar) { + vector w; + vector ms; + ModelSet models(w, ms); + + TextGrammar g; + TRulePtr r1(new TRule("[X] ||| a b c ||| A B C ||| 0.1 0.2 0.3", true)); + TRulePtr r2(new TRule("[X] ||| a b c ||| 1 2 3 ||| 0.2 0.3 0.4", true)); + TRulePtr r3(new TRule("[X] ||| a b c d ||| A B C D ||| 0.1 0.2 0.3", true)); + cerr << r1->AsString() << endl; + g.AddRule(r1); + g.AddRule(r2); + g.AddRule(r3); +} + +TEST_F(GrammarTest,TestTextGrammarFile) { + GrammarPtr g(new TextGrammar("./test_data/grammar.prune")); + vector grammars(1, g); + + LatticeArc a(TD::Convert("ein"), 0.0, 1); + LatticeArc b(TD::Convert("haus"), 0.0, 1); + Lattice lattice(2); + lattice[0].push_back(a); + lattice[1].push_back(b); + Hypergraph forest; + ExhaustiveBottomUpParser parser("PHRASE", grammars); + parser.Parse(lattice, &forest); + forest.PrintGraphviz(); +} + +int main(int argc, char **argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} diff --git a/decoder/gzstream.cc b/decoder/gzstream.cc new file mode 100644 index 00000000..9703e6ad --- /dev/null +++ b/decoder/gzstream.cc @@ -0,0 +1,165 @@ +// ============================================================================ +// gzstream, C++ iostream classes wrapping the zlib compression library. +// Copyright (C) 2001 Deepak Bandyopadhyay, Lutz Kettner +// +// This library is free software; you can redistribute it and/or +// modify it under the terms of the GNU Lesser General Public +// License as published by the Free Software Foundation; either +// version 2.1 of the License, or (at your option) any later version. +// +// This library is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// Lesser General Public License for more details. +// +// You should have received a copy of the GNU Lesser General Public +// License along with this library; if not, write to the Free Software +// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA +// ============================================================================ +// +// File : gzstream.C +// Revision : $Revision: 1.1 $ +// Revision_date : $Date: 2006/03/30 04:05:52 $ +// Author(s) : Deepak Bandyopadhyay, Lutz Kettner +// +// Standard streambuf implementation following Nicolai Josuttis, "The +// Standard C++ Library". +// ============================================================================ + +#include "gzstream.h" +#include +#include + +#ifdef GZSTREAM_NAMESPACE +namespace GZSTREAM_NAMESPACE { +#endif + +// ---------------------------------------------------------------------------- +// Internal classes to implement gzstream. See header file for user classes. +// ---------------------------------------------------------------------------- + +// -------------------------------------- +// class gzstreambuf: +// -------------------------------------- + +gzstreambuf* gzstreambuf::open( const char* name, int open_mode) { + if ( is_open()) + return (gzstreambuf*)0; + mode = open_mode; + // no append nor read/write mode + if ((mode & std::ios::ate) || (mode & std::ios::app) + || ((mode & std::ios::in) && (mode & std::ios::out))) + return (gzstreambuf*)0; + char fmode[10]; + char* fmodeptr = fmode; + if ( mode & std::ios::in) + *fmodeptr++ = 'r'; + else if ( mode & std::ios::out) + *fmodeptr++ = 'w'; + *fmodeptr++ = 'b'; + *fmodeptr = '\0'; + file = gzopen( name, fmode); + if (file == 0) + return (gzstreambuf*)0; + opened = 1; + return this; +} + +gzstreambuf * gzstreambuf::close() { + if ( is_open()) { + sync(); + opened = 0; + if ( gzclose( file) == Z_OK) + return this; + } + return (gzstreambuf*)0; +} + +int gzstreambuf::underflow() { // used for input buffer only + if ( gptr() && ( gptr() < egptr())) + return * reinterpret_cast( gptr()); + + if ( ! (mode & std::ios::in) || ! opened) + return EOF; + // Josuttis' implementation of inbuf + int n_putback = gptr() - eback(); + if ( n_putback > 4) + n_putback = 4; + memcpy( buffer + (4 - n_putback), gptr() - n_putback, n_putback); + + int num = gzread( file, buffer+4, bufferSize-4); + if (num <= 0) // ERROR or EOF + return EOF; + + // reset buffer pointers + setg( buffer + (4 - n_putback), // beginning of putback area + buffer + 4, // read position + buffer + 4 + num); // end of buffer + + // return next character + return * reinterpret_cast( gptr()); +} + +int gzstreambuf::flush_buffer() { + // Separate the writing of the buffer from overflow() and + // sync() operation. + int w = pptr() - pbase(); + if ( gzwrite( file, pbase(), w) != w) + return EOF; + pbump( -w); + return w; +} + +int gzstreambuf::overflow( int c) { // used for output buffer only + if ( ! ( mode & std::ios::out) || ! opened) + return EOF; + if (c != EOF) { + *pptr() = c; + pbump(1); + } + if ( flush_buffer() == EOF) + return EOF; + return c; +} + +int gzstreambuf::sync() { + // Changed to use flush_buffer() instead of overflow( EOF) + // which caused improper behavior with std::endl and flush(), + // bug reported by Vincent Ricard. + if ( pptr() && pptr() > pbase()) { + if ( flush_buffer() == EOF) + return -1; + } + return 0; +} + +// -------------------------------------- +// class gzstreambase: +// -------------------------------------- + +gzstreambase::gzstreambase( const char* name, int mode) { + init( &buf); + open( name, mode); +} + +gzstreambase::~gzstreambase() { + buf.close(); +} + +void gzstreambase::open( const char* name, int open_mode) { + if ( ! buf.open( name, open_mode)) + clear( rdstate() | std::ios::badbit); +} + +void gzstreambase::close() { + if ( buf.is_open()) + if ( ! buf.close()) + clear( rdstate() | std::ios::badbit); +} + +#ifdef GZSTREAM_NAMESPACE +} // namespace GZSTREAM_NAMESPACE +#endif + +// ============================================================================ +// EOF // diff --git a/decoder/gzstream.h b/decoder/gzstream.h new file mode 100644 index 00000000..ad9785fd --- /dev/null +++ b/decoder/gzstream.h @@ -0,0 +1,121 @@ +// ============================================================================ +// gzstream, C++ iostream classes wrapping the zlib compression library. +// Copyright (C) 2001 Deepak Bandyopadhyay, Lutz Kettner +// +// This library is free software; you can redistribute it and/or +// modify it under the terms of the GNU Lesser General Public +// License as published by the Free Software Foundation; either +// version 2.1 of the License, or (at your option) any later version. +// +// This library is distributed in the hope that it will be useful, +// but WITHOUT ANY WARRANTY; without even the implied warranty of +// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU +// Lesser General Public License for more details. +// +// You should have received a copy of the GNU Lesser General Public +// License along with this library; if not, write to the Free Software +// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA +// ============================================================================ +// +// File : gzstream.h +// Revision : $Revision: 1.1 $ +// Revision_date : $Date: 2006/03/30 04:05:52 $ +// Author(s) : Deepak Bandyopadhyay, Lutz Kettner +// +// Standard streambuf implementation following Nicolai Josuttis, "The +// Standard C++ Library". +// ============================================================================ + +#ifndef GZSTREAM_H +#define GZSTREAM_H 1 + +// standard C++ with new header file names and std:: namespace +#include +#include +#include + +#ifdef GZSTREAM_NAMESPACE +namespace GZSTREAM_NAMESPACE { +#endif + +// ---------------------------------------------------------------------------- +// Internal classes to implement gzstream. See below for user classes. +// ---------------------------------------------------------------------------- + +class gzstreambuf : public std::streambuf { +private: + static const int bufferSize = 47+256; // size of data buff + // totals 512 bytes under g++ for igzstream at the end. + + gzFile file; // file handle for compressed file + char buffer[bufferSize]; // data buffer + char opened; // open/close state of stream + int mode; // I/O mode + + int flush_buffer(); +public: + gzstreambuf() : opened(0) { + setp( buffer, buffer + (bufferSize-1)); + setg( buffer + 4, // beginning of putback area + buffer + 4, // read position + buffer + 4); // end position + // ASSERT: both input & output capabilities will not be used together + } + int is_open() { return opened; } + gzstreambuf* open( const char* name, int open_mode); + gzstreambuf* close(); + ~gzstreambuf() { close(); } + + virtual int overflow( int c = EOF); + virtual int underflow(); + virtual int sync(); +}; + +class gzstreambase : virtual public std::ios { +protected: + gzstreambuf buf; +public: + gzstreambase() { init(&buf); } + gzstreambase( const char* name, int open_mode); + ~gzstreambase(); + void open( const char* name, int open_mode); + void close(); + gzstreambuf* rdbuf() { return &buf; } +}; + +// ---------------------------------------------------------------------------- +// User classes. Use igzstream and ogzstream analogously to ifstream and +// ofstream respectively. They read and write files based on the gz* +// function interface of the zlib. Files are compatible with gzip compression. +// ---------------------------------------------------------------------------- + +class igzstream : public gzstreambase, public std::istream { +public: + igzstream() : std::istream( &buf) {} + igzstream( const char* name, int open_mode = std::ios::in) + : gzstreambase( name, open_mode), std::istream( &buf) {} + gzstreambuf* rdbuf() { return gzstreambase::rdbuf(); } + void open( const char* name, int open_mode = std::ios::in) { + gzstreambase::open( name, open_mode); + } +}; + +class ogzstream : public gzstreambase, public std::ostream { +public: + ogzstream() : std::ostream( &buf) {} + ogzstream( const char* name, int mode = std::ios::out) + : gzstreambase( name, mode), std::ostream( &buf) {} + gzstreambuf* rdbuf() { return gzstreambase::rdbuf(); } + void open( const char* name, int open_mode = std::ios::out) { + gzstreambase::open( name, open_mode); + } +}; + +#ifdef GZSTREAM_NAMESPACE +} // namespace GZSTREAM_NAMESPACE +#endif + +#endif // GZSTREAM_H +// ============================================================================ +// EOF // + diff --git a/decoder/hg.cc b/decoder/hg.cc new file mode 100644 index 00000000..b56f1246 --- /dev/null +++ b/decoder/hg.cc @@ -0,0 +1,588 @@ +#include "hg.h" + +#include +#include +#include +#include +#include +#include + +#include "viterbi.h" +#include "inside_outside.h" +#include "tdict.h" + +using namespace std; + +double Hypergraph::NumberOfPaths() const { + return Inside(*this); +} + +struct ScaledTransitionEventWeightFunction { + ScaledTransitionEventWeightFunction(double alpha) : scale_(alpha) {} + inline SparseVector operator()(const Hypergraph::Edge& e) const { + SparseVector result; + result.set_value(e.id_, e.edge_prob_.pow(scale_)); + return result; + } + const double scale_; +}; + +struct TropicalValue { + TropicalValue() : v_() {} + explicit TropicalValue(int v) { + if (v == 0) v_ = prob_t::Zero(); + else if (v == 1) v_ = prob_t::One(); + else { cerr << "Bad value in TropicalValue(int).\n"; abort(); } + } + explicit TropicalValue(const prob_t& v) : v_(v) {} + inline TropicalValue& operator+=(const TropicalValue& o) { + if (v_ < o.v_) v_ = o.v_; + return *this; + } + inline TropicalValue& operator*=(const TropicalValue& o) { + v_ *= o.v_; + return *this; + } + inline bool operator==(const TropicalValue& o) const { return v_ == o.v_; } + prob_t v_; +}; + +struct ViterbiWeightFunction { + inline TropicalValue operator()(const Hypergraph::Edge& e) const { + return TropicalValue(e.edge_prob_); + } +}; + +struct ViterbiTransitionEventWeightFunction { + inline SparseVector operator()(const Hypergraph::Edge& e) const { + SparseVector result; + result.set_value(e.id_, TropicalValue(e.edge_prob_)); + return result; + } +}; + + +prob_t Hypergraph::ComputeEdgePosteriors(double scale, vector* posts) const { + const ScaledEdgeProb weight(scale); + const ScaledTransitionEventWeightFunction w2(scale); + SparseVector pv; + const double inside = InsideOutside, + ScaledTransitionEventWeightFunction>(*this, &pv, weight, w2); + posts->resize(edges_.size()); + for (int i = 0; i < edges_.size(); ++i) + (*posts)[i] = prob_t(pv.value(i)); + return prob_t(inside); +} + +prob_t Hypergraph::ComputeBestPathThroughEdges(vector* post) const { + SparseVector pv; + const TropicalValue viterbi_weight = InsideOutside, + ViterbiTransitionEventWeightFunction>(*this, &pv); + post->resize(edges_.size()); + for (int i = 0; i < edges_.size(); ++i) + (*post)[i] = pv.value(i).v_; + return viterbi_weight.v_; +} + +void Hypergraph::PushWeightsToSource(double scale) { + vector posts; + ComputeEdgePosteriors(scale, &posts); + for (int i = 0; i < nodes_.size(); ++i) { + const Hypergraph::Node& node = nodes_[i]; + prob_t z = prob_t::Zero(); + for (int j = 0; j < node.out_edges_.size(); ++j) + z += posts[node.out_edges_[j]]; + for (int j = 0; j < node.out_edges_.size(); ++j) { + edges_[node.out_edges_[j]].edge_prob_ = posts[node.out_edges_[j]] / z; + } + } +} + +void Hypergraph::PushWeightsToGoal(double scale) { + vector posts; + ComputeEdgePosteriors(scale, &posts); + for (int i = 0; i < nodes_.size(); ++i) { + const Hypergraph::Node& node = nodes_[i]; + prob_t z = prob_t::Zero(); + for (int j = 0; j < node.in_edges_.size(); ++j) + z += posts[node.in_edges_[j]]; + for (int j = 0; j < node.in_edges_.size(); ++j) { + edges_[node.in_edges_[j]].edge_prob_ = posts[node.in_edges_[j]] / z; + } + } +} + +struct EdgeExistsWeightFunction { + EdgeExistsWeightFunction(const std::vector& prunes) : prunes_(prunes) {} + double operator()(const Hypergraph::Edge& edge) const { + return (prunes_[edge.id_] ? 0.0 : 1.0); + } + private: + const vector& prunes_; +}; + +void Hypergraph::PruneEdges(const std::vector& prune_edge, bool run_inside_algorithm) { + assert(prune_edge.size() == edges_.size()); + vector filtered = prune_edge; + + if (run_inside_algorithm) { + const EdgeExistsWeightFunction wf(prune_edge); + // use double, not bool since vector causes problems with the Inside algorithm. + // I don't know a good c++ way to resolve this short of template specialization which + // I dislike. If you know of a better way that doesn't involve specialization, + // fix this! + vector reachable; + bool goal_derivable = (0 < Inside(*this, &reachable, wf)); + if (!goal_derivable) { + edges_.clear(); + nodes_.clear(); + nodes_.push_back(Node()); + return; + } + + assert(reachable.size() == nodes_.size()); + for (int i = 0; i < edges_.size(); ++i) { + bool prune = prune_edge[i]; + if (!prune) { + const Edge& edge = edges_[i]; + for (int j = 0; j < edge.tail_nodes_.size(); ++j) { + if (!reachable[edge.tail_nodes_[j]]) { + prune = true; + break; + } + } + } + filtered[i] = prune; + } + } + + TopologicallySortNodesAndEdges(nodes_.size() - 1, &filtered); +} + +void Hypergraph::DensityPruneInsideOutside(const double scale, + const bool use_sum_prod_semiring, + const double density, + const vector* preserve_mask) { + assert(density >= 1.0); + const int plen = ViterbiPathLength(*this); + vector bp; + int rnum = min(static_cast(edges_.size()), static_cast(density * static_cast(plen))); + if (rnum == edges_.size()) { + cerr << "No pruning required: denisty already sufficient"; + return; + } + vector io(edges_.size()); + if (use_sum_prod_semiring) + ComputeEdgePosteriors(scale, &io); + else + ComputeBestPathThroughEdges(&io); + assert(edges_.size() == io.size()); + vector sorted = io; + nth_element(sorted.begin(), sorted.begin() + rnum, sorted.end(), greater()); + const double cutoff = sorted[rnum]; + vector prune(edges_.size()); + for (int i = 0; i < edges_.size(); ++i) { + prune[i] = (io[i] < cutoff); + if (preserve_mask && (*preserve_mask)[i]) prune[i] = false; + } + PruneEdges(prune); +} + +void Hypergraph::BeamPruneInsideOutside( + const double scale, + const bool use_sum_prod_semiring, + const double alpha, + const vector* preserve_mask) { + assert(alpha > 0.0); + assert(scale > 0.0); + vector io(edges_.size()); + if (use_sum_prod_semiring) + ComputeEdgePosteriors(scale, &io); + else + ComputeBestPathThroughEdges(&io); + assert(edges_.size() == io.size()); + prob_t best; // initializes to zero + for (int i = 0; i < io.size(); ++i) + if (io[i] > best) best = io[i]; + const prob_t aprob(exp(-alpha)); + const prob_t cutoff = best * aprob; + // cerr << "aprob = " << aprob << "\t CUTOFF=" << cutoff << endl; + vector prune(edges_.size()); + //cerr << preserve_mask.size() << " " << edges_.size() << endl; + int pc = 0; + for (int i = 0; i < io.size(); ++i) { + const bool prune_edge = (io[i] < cutoff); + if (prune_edge) ++pc; + prune[i] = (io[i] < cutoff); + if (preserve_mask && (*preserve_mask)[i]) prune[i] = false; + } + // cerr << "Beam pruning " << pc << "/" << io.size() << " edges\n"; + PruneEdges(prune); +} + +void Hypergraph::PrintGraphviz() const { + int ei = 0; + cerr << "digraph G {\n rankdir=LR;\n nodesep=.05;\n"; + for (vector::const_iterator i = edges_.begin(); + i != edges_.end(); ++i) { + const Edge& edge=*i; + ++ei; + static const string none = ""; + string rule = (edge.rule_ ? edge.rule_->AsString(false) : none); + + cerr << " A_" << ei << " [label=\"" << rule << " p=" << edge.edge_prob_ + << " F:" << edge.feature_values_ + << "\" shape=\"rect\"];\n"; + Hypergraph::TailNodeVector indorder(edge.tail_nodes_.size(), 0); + int ntc = 0; + for (int i = 0; i < edge.rule_->e_.size(); ++i) { + if (edge.rule_->e_[i] <= 0) indorder[ntc++] = 1 + (-1 * edge.rule_->e_[i]); + } + for (int i = 0; i < edge.tail_nodes_.size(); ++i) { + cerr << " " << edge.tail_nodes_[i] << " -> A_" << ei; + if (edge.tail_nodes_.size() > 1) { + cerr << " [label=\"" << indorder[i] << "\"]"; + } + cerr << ";\n"; + } + cerr << " A_" << ei << " -> " << edge.head_node_ << ";\n"; + } + for (vector::const_iterator ni = nodes_.begin(); + ni != nodes_.end(); ++ni) { + cerr << " " << ni->id_ << "[label=\"" << (ni->cat_ < 0 ? TD::Convert(ni->cat_ * -1) : "") + //cerr << " " << ni->id_ << "[label=\"" << ni->cat_ + << " n=" << ni->id_ +// << ",x=" << &*ni +// << ",in=" << ni->in_edges_.size() +// << ",out=" << ni->out_edges_.size() + << "\"];\n"; + } + cerr << "}\n"; +} + +void Hypergraph::Union(const Hypergraph& other) { + if (&other == this) return; + if (nodes_.empty()) { nodes_ = other.nodes_; edges_ = other.edges_; return; } + int noff = nodes_.size(); + int eoff = edges_.size(); + int ogoal = other.nodes_.size() - 1; + int cgoal = noff - 1; + // keep a single goal node, so add nodes.size - 1 + nodes_.resize(nodes_.size() + ogoal); + // add all edges + edges_.resize(edges_.size() + other.edges_.size()); + + for (int i = 0; i < ogoal; ++i) { + const Node& on = other.nodes_[i]; + Node& cn = nodes_[i + noff]; + cn.id_ = i + noff; + cn.in_edges_.resize(on.in_edges_.size()); + for (int j = 0; j < on.in_edges_.size(); ++j) + cn.in_edges_[j] = on.in_edges_[j] + eoff; + + cn.out_edges_.resize(on.out_edges_.size()); + for (int j = 0; j < on.out_edges_.size(); ++j) + cn.out_edges_[j] = on.out_edges_[j] + eoff; + } + + for (int i = 0; i < other.edges_.size(); ++i) { + const Edge& oe = other.edges_[i]; + Edge& ce = edges_[i + eoff]; + ce.id_ = i + eoff; + ce.rule_ = oe.rule_; + ce.feature_values_ = oe.feature_values_; + if (oe.head_node_ == ogoal) { + ce.head_node_ = cgoal; + nodes_[cgoal].in_edges_.push_back(ce.id_); + } else { + ce.head_node_ = oe.head_node_ + noff; + } + ce.tail_nodes_.resize(oe.tail_nodes_.size()); + for (int j = 0; j < oe.tail_nodes_.size(); ++j) + ce.tail_nodes_[j] = oe.tail_nodes_[j] + noff; + } + + TopologicallySortNodesAndEdges(cgoal); +} + +void Hypergraph::PruneUnreachable(int goal_node_id) { + TopologicallySortNodesAndEdges(goal_node_id, NULL); +} + +void Hypergraph::RemoveNoncoaccessibleStates(int goal_node_id) { + if (goal_node_id < 0) goal_node_id += nodes_.size(); + assert(goal_node_id >= 0); + assert(goal_node_id < nodes_.size()); + + // TODO finish implementation + abort(); +} + +struct DFSContext { + int node; + int edge_iter; + int tail_iter; + DFSContext(int n, int e, int t) : node(n), edge_iter(e), tail_iter(t) {} +}; + +enum ColorType { WHITE, GRAY, BLACK }; + +template +struct BadId { + bool operator()(const T& obj) const { return obj.id_ == -1; } +}; + +template +struct IdCompare { + bool operator()(const T& a, const T& b) { return a.id_ < b.id_; } +}; + +void Hypergraph::TopologicallySortNodesAndEdges(int goal_index, + const vector* prune_edges) { + // figure out which nodes are reachable from the goal + vector reloc_node(nodes_.size(), -1); + vector reloc_edge(edges_.size(), -1); + vector color(nodes_.size(), WHITE); + vector stack; + stack.reserve(nodes_.size()); + stack.push_back(DFSContext(goal_index, 0, 0)); + int node_count = 0; + int edge_count = 0; + while(!stack.empty()) { + const DFSContext& p = stack.back(); + int cur_ni = p.node; + int edge_i = p.edge_iter; + int tail_i = p.tail_iter; + stack.pop_back(); + const Node* cur_node = &nodes_[cur_ni]; + int edge_end = cur_node->in_edges_.size(); + while (edge_i != edge_end) { + const Edge& cur_edge = edges_[cur_node->in_edges_[edge_i]]; + const int tail_end = cur_edge.tail_nodes_.size(); + if ((tail_end == tail_i) || (prune_edges && (*prune_edges)[cur_edge.id_])) { + ++edge_i; + tail_i = 0; + continue; + } + const int tail_ni = cur_edge.tail_nodes_[tail_i]; + const int tail_color = color[tail_ni]; + if (tail_color == WHITE) { + stack.push_back(DFSContext(cur_ni, edge_i, ++tail_i)); + cur_ni = tail_ni; + cur_node = &nodes_[cur_ni]; + color[cur_ni] = GRAY; + edge_i = 0; + edge_end = cur_node->in_edges_.size(); + tail_i = 0; + } else if (tail_color == BLACK) { + ++tail_i; + } else if (tail_color == GRAY) { + // this can happen if, e.g., it is possible to rederive + // a single cell in the CKY chart via a cycle. + cerr << "Detected forbidden cycle in HG:\n"; + cerr << " " << cur_edge.rule_->AsString() << endl; + while(!stack.empty()) { + const DFSContext& p = stack.back(); + cerr << " " << edges_[nodes_[p.node].in_edges_[p.edge_iter]].rule_->AsString() << endl; + stack.pop_back(); + } + abort(); + } + } + color[cur_ni] = BLACK; + reloc_node[cur_ni] = node_count++; + if (prune_edges) { + for (int i = 0; i < edge_end; ++i) { + int ei = cur_node->in_edges_[i]; + if (!(*prune_edges)[ei]) + reloc_edge[cur_node->in_edges_[i]] = edge_count++; + } + } else { + for (int i = 0; i < edge_end; ++i) + reloc_edge[cur_node->in_edges_[i]] = edge_count++; + } + } +#ifndef HG_EDGES_TOPO_SORTED + int ec = 0; + for (int i = 0; i < reloc_edge.size(); ++i) { + int& cp = reloc_edge[i]; + if (cp >= 0) { cp = ec++; } + } +#endif + +#if 0 + cerr << "TOPO:"; + for (int i = 0; i < reloc_node.size(); ++i) + cerr << " " << reloc_node[i]; + cerr << endl; + cerr << "EDGE:"; + for (int i = 0; i < reloc_edge.size(); ++i) + cerr << " " << reloc_edge[i]; + cerr << endl; +#endif + bool no_op = true; + for (int i = 0; i < reloc_node.size() && no_op; ++i) + if (reloc_node[i] != i) no_op = false; + for (int i = 0; i < reloc_edge.size() && no_op; ++i) + if (reloc_edge[i] != i) no_op = false; + if (no_op) return; + for (int i = 0; i < reloc_node.size(); ++i) { + Node& node = nodes_[i]; + node.id_ = reloc_node[i]; + int c = 0; + for (int j = 0; j < node.in_edges_.size(); ++j) { + const int new_index = reloc_edge[node.in_edges_[j]]; + if (new_index >= 0) + node.in_edges_[c++] = new_index; + } + node.in_edges_.resize(c); + c = 0; + for (int j = 0; j < node.out_edges_.size(); ++j) { + const int new_index = reloc_edge[node.out_edges_[j]]; + if (new_index >= 0) + node.out_edges_[c++] = new_index; + } + node.out_edges_.resize(c); + } + for (int i = 0; i < reloc_edge.size(); ++i) { + Edge& edge = edges_[i]; + edge.id_ = reloc_edge[i]; + edge.head_node_ = reloc_node[edge.head_node_]; + for (int j = 0; j < edge.tail_nodes_.size(); ++j) + edge.tail_nodes_[j] = reloc_node[edge.tail_nodes_[j]]; + } + edges_.erase(remove_if(edges_.begin(), edges_.end(), BadId()), edges_.end()); + nodes_.erase(remove_if(nodes_.begin(), nodes_.end(), BadId()), nodes_.end()); + sort(nodes_.begin(), nodes_.end(), IdCompare()); +#ifndef HG_EDGES_TOPO_SORTED + sort(edges_.begin(), edges_.end(), IdCompare()); +#endif +} + +TRulePtr Hypergraph::kEPSRule; +TRulePtr Hypergraph::kUnaryRule; + +void Hypergraph::EpsilonRemove(WordID eps) { + if (!kEPSRule) { + kEPSRule.reset(new TRule("[X] ||| ||| ")); + kUnaryRule.reset(new TRule("[X] ||| [X,1] ||| [X,1]")); + } + vector kill(edges_.size(), false); + for (int i = 0; i < edges_.size(); ++i) { + const Edge& edge = edges_[i]; + if (edge.tail_nodes_.empty() && + edge.rule_->f_.size() == 1 && + edge.rule_->f_[0] == eps) { + kill[i] = true; + if (!edge.feature_values_.empty()) { + Node& node = nodes_[edge.head_node_]; + if (node.in_edges_.size() != 1) { + cerr << "[WARNING] edge with features going into non-empty node - can't promote\n"; + // this *probably* means that there are multiple derivations of the + // same sequence via different paths through the input forest + // this needs to be investigated and fixed + } else { + for (int j = 0; j < node.out_edges_.size(); ++j) + edges_[node.out_edges_[j]].feature_values_ += edge.feature_values_; + // cerr << "PROMOTED " << edge.feature_values_ << endl; + } + } + } + } + bool created_eps = false; + PruneEdges(kill); + for (int i = 0; i < nodes_.size(); ++i) { + const Node& node = nodes_[i]; + if (node.in_edges_.empty()) { + for (int j = 0; j < node.out_edges_.size(); ++j) { + Edge& edge = edges_[node.out_edges_[j]]; + if (edge.rule_->Arity() == 2) { + assert(edge.rule_->f_.size() == 2); + assert(edge.rule_->e_.size() == 2); + edge.rule_ = kUnaryRule; + int cur = node.id_; + int t = -1; + assert(edge.tail_nodes_.size() == 2); + for (int i = 0; i < 2; ++i) if (edge.tail_nodes_[i] != cur) { t = edge.tail_nodes_[i]; } + assert(t != -1); + edge.tail_nodes_.resize(1); + edge.tail_nodes_[0] = t; + } else { + edge.rule_ = kEPSRule; + edge.rule_->f_[0] = eps; + edge.rule_->e_[0] = eps; + edge.tail_nodes_.clear(); + created_eps = true; + } + } + } + } + vector k2(edges_.size(), false); + PruneEdges(k2); + if (created_eps) EpsilonRemove(eps); +} + +struct EdgeWeightSorter { + const Hypergraph& hg; + EdgeWeightSorter(const Hypergraph& h) : hg(h) {} + bool operator()(int a, int b) const { + return hg.edges_[a].edge_prob_ > hg.edges_[b].edge_prob_; + } +}; + +void Hypergraph::SortInEdgesByEdgeWeights() { + for (int i = 0; i < nodes_.size(); ++i) { + Node& node = nodes_[i]; + sort(node.in_edges_.begin(), node.in_edges_.end(), EdgeWeightSorter(*this)); + } +} + +Hypergraph* Hypergraph::CreateViterbiHypergraph(const vector* edges) const { + vector vit_edges; + if (edges) { + assert(edges->size() == edges_.size()); + Viterbi, ViterbiPathTraversal, prob_t, EdgeSelectEdgeWeightFunction>(*this, &vit_edges, ViterbiPathTraversal(), EdgeSelectEdgeWeightFunction(*edges)); + } else { + Viterbi, ViterbiPathTraversal, prob_t, EdgeProb>(*this, &vit_edges); + } + map old2new_node; + int num_new_nodes = 0; + for (int i = 0; i < vit_edges.size(); ++i) { + const Edge& edge = *vit_edges[i]; + for (int j = 0; j < edge.tail_nodes_.size(); ++j) + assert(old2new_node.count(edge.tail_nodes_[j]) > 0); + if (old2new_node.count(edge.head_node_) == 0) { + old2new_node[edge.head_node_] = num_new_nodes; + ++num_new_nodes; + } + } + Hypergraph* out = new Hypergraph(num_new_nodes, vit_edges.size(), is_linear_chain_); + for (map::iterator it = old2new_node.begin(); + it != old2new_node.end(); ++it) { + const Node& old_node = nodes_[it->first]; + Node& new_node = out->nodes_[it->second]; + new_node.cat_ = old_node.cat_; + new_node.id_ = it->second; + } + + for (int i = 0; i < vit_edges.size(); ++i) { + const Edge& old_edge = *vit_edges[i]; + Edge& new_edge = out->edges_[i]; + new_edge = old_edge; + new_edge.id_ = i; + const int new_head_node = old2new_node[old_edge.head_node_]; + new_edge.head_node_ = new_head_node; + out->nodes_[new_head_node].in_edges_.push_back(i); + for (int j = 0; j < old_edge.tail_nodes_.size(); ++j) { + const int new_tail_node = old2new_node[old_edge.tail_nodes_[j]]; + new_edge.tail_nodes_[j] = new_tail_node; + out->nodes_[new_tail_node].out_edges_.push_back(i); + } + } + return out; +} + diff --git a/decoder/hg.h b/decoder/hg.h new file mode 100644 index 00000000..8d056358 --- /dev/null +++ b/decoder/hg.h @@ -0,0 +1,247 @@ +#ifndef _HG_H_ +#define _HG_H_ + +#include +#include + +#include "small_vector.h" +#include "sparse_vector.h" +#include "wordid.h" +#include "trule.h" +#include "prob.h" + +// if you define this, edges_ will be sorted +// (normally, just nodes_ are), but this can be quite +// slow +#undef HG_EDGES_TOPO_SORTED + +// class representing an acyclic hypergraph +// - edges have 1 head, 0..n tails +class Hypergraph { + public: + Hypergraph() : is_linear_chain_(false) {} + + // SmallVector is a fast, small vector implementation for sizes <= 2 + typedef SmallVector TailNodeVector; + + // TODO get rid of cat_? + struct Node { + Node() : id_(), cat_() {} + int id_; // equal to this object's position in the nodes_ vector + WordID cat_; // non-terminal category if <0, 0 if not set + std::vector in_edges_; // contents refer to positions in edges_ + std::vector out_edges_; // contents refer to positions in edges_ + }; + + // TODO get rid of edge_prob_? (can be computed on the fly as the dot + // product of the weight vector and the feature values) + struct Edge { + Edge() : i_(-1), j_(-1), prev_i_(-1), prev_j_(-1) {} + inline int Arity() const { return tail_nodes_.size(); } + int head_node_; // refers to a position in nodes_ + TailNodeVector tail_nodes_; // contents refer to positions in nodes_ + TRulePtr rule_; + SparseVector feature_values_; + prob_t edge_prob_; // dot product of weights and feat_values + int id_; // equal to this object's position in the edges_ vector + + // span info. typically, i_ and j_ refer to indices in the source sentence + // if a synchronous parse has been executed i_ and j_ will refer to indices + // in the target sentence / lattice and prev_i_ prev_j_ will refer to + // positions in the source. Note: it is up to the translator implementation + // to properly set these values. For some models (like the Forest-input + // phrase based model) it may not be straightforward to do. if these values + // are not properly set, most things will work but alignment and any features + // that depend on them will be broken. + short int i_; + short int j_; + short int prev_i_; + short int prev_j_; + }; + + void swap(Hypergraph& other) { + other.nodes_.swap(nodes_); + std::swap(is_linear_chain_, other.is_linear_chain_); + other.edges_.swap(edges_); + } + + void ResizeNodes(int size) { + nodes_.resize(size); + for (int i = 0; i < size; ++i) nodes_[i].id_ = i; + } + + // reserves space in the nodes vector to prevent memory locations + // from changing + void ReserveNodes(size_t n, size_t e = 0) { + nodes_.reserve(n); + if (e) edges_.reserve(e); + } + + Edge* AddEdge(const TRulePtr& rule, const TailNodeVector& tail) { + edges_.push_back(Edge()); + Edge* edge = &edges_.back(); + edge->rule_ = rule; + edge->tail_nodes_ = tail; + edge->id_ = edges_.size() - 1; + for (int i = 0; i < edge->tail_nodes_.size(); ++i) + nodes_[edge->tail_nodes_[i]].out_edges_.push_back(edge->id_); + return edge; + } + + Node* AddNode(const WordID& cat) { + nodes_.push_back(Node()); + nodes_.back().cat_ = cat; + nodes_.back().id_ = nodes_.size() - 1; + return &nodes_.back(); + } + + void ConnectEdgeToHeadNode(const int edge_id, const int head_id) { + edges_[edge_id].head_node_ = head_id; + nodes_[head_id].in_edges_.push_back(edge_id); + } + + // TODO remove this - use the version that takes indices + void ConnectEdgeToHeadNode(Edge* edge, Node* head) { + edge->head_node_ = head->id_; + head->in_edges_.push_back(edge->id_); + } + + // merge the goal node from other with this goal node + void Union(const Hypergraph& other); + + void PrintGraphviz() const; + + // compute the total number of paths in the forest + double NumberOfPaths() const; + + // BEWARE. this assumes that the source and target language + // strings are identical and that there are no loops. + // It assumes a bunch of other things about where the + // epsilons will be. It tries to assert failure if you + // break these assumptions, but it may not. + // TODO - make this work + void EpsilonRemove(WordID eps); + + // multiple the weights vector by the edge feature vector + // (inner product) to set the edge probabilities + template + void Reweight(const V& weights) { + for (int i = 0; i < edges_.size(); ++i) { + Edge& e = edges_[i]; + e.edge_prob_.logeq(e.feature_values_.dot(weights)); + } + } + + // computes inside and outside scores for each + // edge in the hypergraph + // alpha->size = edges_.size = beta->size + // returns inside prob of goal node + prob_t ComputeEdgePosteriors(double scale, + std::vector* posts) const; + + // find the score of the very best path passing through each edge + prob_t ComputeBestPathThroughEdges(std::vector* posts) const; + + // create a new hypergraph consisting only of the nodes / edges + // in the Viterbi derivation of this hypergraph + // if edges is set, use the EdgeSelectEdgeWeightFunction + Hypergraph* CreateViterbiHypergraph(const std::vector* edges = NULL) const; + + // move weights as near to the source as possible, resulting in a + // stochastic automaton. ONLY FUNCTIONAL FOR *LATTICES*. + // See M. Mohri and M. Riley. A Weight Pushing Algorithm for Large + // Vocabulary Speech Recognition. 2001. + // the log semiring (NOT tropical) is used + void PushWeightsToSource(double scale = 1.0); + // same, except weights are pushed to the goal, works for HGs, + // not just lattices + void PushWeightsToGoal(double scale = 1.0); + + void SortInEdgesByEdgeWeights(); + + void PruneUnreachable(int goal_node_id); // DEPRECATED + + void RemoveNoncoaccessibleStates(int goal_node_id = -1); + + // remove edges from the hypergraph if prune_edge[edge_id] is true + // TODO need to investigate why this shouldn't be run for the forest trans + // case. To investigate, change false to true and see where ftrans crashes + void PruneEdges(const std::vector& prune_edge, bool run_inside_algorithm = false); + + // if you don't know, use_sum_prod_semiring should be false + void DensityPruneInsideOutside(const double scale, const bool use_sum_prod_semiring, const double density, + const std::vector* preserve_mask = NULL); + + // prunes any edge whose score on the best path taking that edge is more than alpha away + // from the score of the global best past (or the highest edge posterior) + void BeamPruneInsideOutside(const double scale, const bool use_sum_prod_semiring, const double alpha, + const std::vector* preserve_mask = NULL); + + void clear() { + nodes_.clear(); + edges_.clear(); + } + + inline size_t NumberOfEdges() const { return edges_.size(); } + inline size_t NumberOfNodes() const { return nodes_.size(); } + inline bool empty() const { return nodes_.empty(); } + + // linear chains can be represented in a number of ways in a hypergraph, + // we define them to consist only of lexical translations and monotonic rules + inline bool IsLinearChain() const { return is_linear_chain_; } + bool is_linear_chain_; + + // nodes_ is sorted in topological order + std::vector nodes_; + // edges_ is not guaranteed to be in any particular order + std::vector edges_; + + // reorder nodes_ so they are in topological order + // source nodes at 0 sink nodes at size-1 + void TopologicallySortNodesAndEdges(int goal_idx, + const std::vector* prune_edges = NULL); + private: + Hypergraph(int num_nodes, int num_edges, bool is_lc) : is_linear_chain_(is_lc), nodes_(num_nodes), edges_(num_edges) {} + + static TRulePtr kEPSRule; + static TRulePtr kUnaryRule; +}; + +// common WeightFunctions, map an edge -> WeightType +// for generic Viterbi/Inside algorithms +struct EdgeProb { + inline const prob_t& operator()(const Hypergraph::Edge& e) const { return e.edge_prob_; } +}; + +struct EdgeSelectEdgeWeightFunction { + EdgeSelectEdgeWeightFunction(const std::vector& v) : v_(v) {} + inline prob_t operator()(const Hypergraph::Edge& e) const { + if (v_[e.id_]) return prob_t::One(); + else return prob_t::Zero(); + } + private: + const std::vector& v_; +}; + +struct ScaledEdgeProb { + ScaledEdgeProb(const double& alpha) : alpha_(alpha) {} + inline prob_t operator()(const Hypergraph::Edge& e) const { return e.edge_prob_.pow(alpha_); } + const double alpha_; +}; + +// see Li (2010), Section 3.2.2-- this is 'x_e = p_e*r_e' +struct EdgeFeaturesAndProbWeightFunction { + inline const SparseVector operator()(const Hypergraph::Edge& e) const { + SparseVector res; + for (SparseVector::const_iterator it = e.feature_values_.begin(); + it != e.feature_values_.end(); ++it) + res.set_value(it->first, prob_t(it->second) * e.edge_prob_); + return res; + } +}; + +struct TransitionCountWeightFunction { + inline double operator()(const Hypergraph::Edge& e) const { (void)e; return 1.0; } +}; + +#endif diff --git a/decoder/hg_intersect.cc b/decoder/hg_intersect.cc new file mode 100644 index 00000000..02ff752e --- /dev/null +++ b/decoder/hg_intersect.cc @@ -0,0 +1,160 @@ +#include "hg_intersect.h" + +#include +#include +#include +#include + +#include "tdict.h" +#include "hg.h" +#include "trule.h" +#include "wordid.h" +#include "bottom_up_parser.h" + +using boost::lexical_cast; +using namespace std::tr1; +using namespace std; + +struct RuleFilter { + unordered_map, bool, boost::hash > > exists_; + bool true_lattice; + RuleFilter(const Lattice& target, int max_phrase_size) { + true_lattice = false; + for (int i = 0; i < target.size(); ++i) { + vector phrase; + int lim = min(static_cast(target.size()), i + max_phrase_size); + for (int j = i; j < lim; ++j) { + if (target[j].size() > 1) { true_lattice = true; break; } + phrase.push_back(target[j][0].label); + exists_[phrase] = true; + } + } + vector sos(1, TD::Convert("")); + exists_[sos] = true; + } + bool operator()(const TRule& r) const { + // TODO do some smarter filtering for lattices + if (true_lattice) return false; // don't filter "true lattice" input + const vector& e = r.e(); + for (int i = 0; i < e.size(); ++i) { + if (e[i] <= 0) continue; + vector phrase; + for (int j = i; j < e.size(); ++j) { + if (e[j] <= 0) break; + phrase.push_back(e[j]); + if (exists_.count(phrase) == 0) return true; + } + } + return false; + } +}; + +static bool FastLinearIntersect(const Lattice& target, Hypergraph* hg) { + cerr << " Fast linear-chain intersection...\n"; + vector prune(hg->edges_.size(), false); + set cov; + map inverted_rules; + for (int i = 0; i < prune.size(); ++i) { + Hypergraph::Edge& edge = hg->edges_[i]; + if (edge.Arity() == 0) { + const int trg_index = edge.prev_i_; + const WordID trg = target[trg_index][0].label; + assert(edge.rule_->EWords() == 1); + TRulePtr& inv_rule = inverted_rules[edge.rule_.get()]; + if (!inv_rule) { + inv_rule.reset(new TRule(*edge.rule_)); + inv_rule->e_.swap(inv_rule->f_); + } + prune[i] = (edge.rule_->e_[0] != trg); + if (!prune[i]) { + cov.insert(trg_index); + swap(edge.prev_i_, edge.i_); + swap(edge.prev_j_, edge.j_); + edge.rule_.swap(inv_rule); + } + } + } + hg->PruneEdges(prune, true); + return (cov.size() == target.size()); +} + +bool HG::Intersect(const Lattice& target, Hypergraph* hg) { + // there are a number of faster algorithms available for restricted + // classes of hypergraph and/or target. + if (hg->IsLinearChain() && target.IsSentence()) + return FastLinearIntersect(target, hg); + + vector rem(hg->edges_.size(), false); + const RuleFilter filter(target, 15); // TODO make configurable + for (int i = 0; i < rem.size(); ++i) + rem[i] = filter(*hg->edges_[i].rule_); + hg->PruneEdges(rem, true); + + const int nedges = hg->edges_.size(); + const int nnodes = hg->nodes_.size(); + + TextGrammar* g = new TextGrammar; + GrammarPtr gp(g); + vector cats(nnodes); + // each node in the translation forest becomes a "non-terminal" in the new + // grammar, create the labels here + const string kSEP = "_"; + for (int i = 0; i < nnodes; ++i) { + const char* pstr = "CAT"; + if (hg->nodes_[i].cat_ < 0) + pstr = TD::Convert(-hg->nodes_[i].cat_); + cats[i] = TD::Convert(pstr + kSEP + lexical_cast(i)) * -1; + } + + // construct the grammar + for (int i = 0; i < nedges; ++i) { + const Hypergraph::Edge& edge = hg->edges_[i]; + const vector& tgt = edge.rule_->e(); + const vector& src = edge.rule_->f(); + TRulePtr rule(new TRule); + rule->prev_i = edge.i_; + rule->prev_j = edge.j_; + rule->lhs_ = cats[edge.head_node_]; + vector& f = rule->f_; + vector& e = rule->e_; + f.resize(tgt.size()); // swap source and target, since the parser + e.resize(src.size()); // parses using the source side! + Hypergraph::TailNodeVector tn(edge.tail_nodes_.size()); + int ntc = 0; + for (int j = 0; j < tgt.size(); ++j) { + const WordID& cur = tgt[j]; + if (cur > 0) { + f[j] = cur; + } else { + tn[ntc++] = cur; + f[j] = cats[edge.tail_nodes_[-cur]]; + } + } + ntc = 0; + for (int j = 0; j < src.size(); ++j) { + const WordID& cur = src[j]; + if (cur > 0) { + e[j] = cur; + } else { + e[j] = tn[ntc++]; + } + } + rule->scores_ = edge.feature_values_; + rule->parent_rule_ = edge.rule_; + rule->ComputeArity(); + //cerr << "ADD: " << rule->AsString() << endl; + + g->AddRule(rule); + } + g->SetMaxSpan(target.size() + 1); + const string& new_goal = TD::Convert(cats.back() * -1); + vector grammars(1, gp); + Hypergraph tforest; + ExhaustiveBottomUpParser parser(new_goal, grammars); + if (!parser.Parse(target, &tforest)) + return false; + else + hg->swap(tforest); + return true; +} + diff --git a/decoder/hg_intersect.h b/decoder/hg_intersect.h new file mode 100644 index 00000000..826bdaae --- /dev/null +++ b/decoder/hg_intersect.h @@ -0,0 +1,13 @@ +#ifndef _HG_INTERSECT_H_ +#define _HG_INTERSECT_H_ + +#include + +#include "lattice.h" + +class Hypergraph; +struct HG { + static bool Intersect(const Lattice& target, Hypergraph* hg); +}; + +#endif diff --git a/decoder/hg_io.cc b/decoder/hg_io.cc new file mode 100644 index 00000000..5161931d --- /dev/null +++ b/decoder/hg_io.cc @@ -0,0 +1,673 @@ +#include "hg_io.h" + +#include +#include + +#include + +#include "tdict.h" +#include "json_parse.h" +#include "hg.h" + +using namespace std; + +struct HGReader : public JSONParser { + HGReader(Hypergraph* g) : rp("[X] ||| "), state(-1), hg(*g), nodes_needed(true), edges_needed(true) { nodes = 0; edges = 0; } + + void CreateNode(const string& cat, const vector& in_edges) { + WordID c = TD::Convert("X") * -1; + if (!cat.empty()) c = TD::Convert(cat) * -1; + Hypergraph::Node* node = hg.AddNode(c); + for (int i = 0; i < in_edges.size(); ++i) { + if (in_edges[i] >= hg.edges_.size()) { + cerr << "JSONParser: in_edges[" << i << "]=" << in_edges[i] + << ", but hg only has " << hg.edges_.size() << " edges!\n"; + abort(); + } + hg.ConnectEdgeToHeadNode(&hg.edges_[in_edges[i]], node); + } + } + void CreateEdge(const TRulePtr& rule, SparseVector* feats, const SmallVector& tail) { + Hypergraph::Edge* edge = hg.AddEdge(rule, tail); + feats->swap(edge->feature_values_); + edge->i_ = spans[0]; + edge->j_ = spans[1]; + edge->prev_i_ = spans[2]; + edge->prev_j_ = spans[3]; + } + + bool HandleJSONEvent(int type, const JSON_value* value) { + switch(state) { + case -1: + assert(type == JSON_T_OBJECT_BEGIN); + state = 0; + break; + case 0: + if (type == JSON_T_OBJECT_END) { + //cerr << "HG created\n"; // TODO, signal some kind of callback + } else if (type == JSON_T_KEY) { + string val = value->vu.str.value; + if (val == "features") { assert(fdict.empty()); state = 1; } + else if (val == "is_sorted") { state = 3; } + else if (val == "rules") { assert(rules.empty()); state = 4; } + else if (val == "node") { state = 8; } + else if (val == "edges") { state = 13; } + else { cerr << "Unexpected key: " << val << endl; return false; } + } + break; + + // features + case 1: + if(type == JSON_T_NULL) { state = 0; break; } + assert(type == JSON_T_ARRAY_BEGIN); + state = 2; + break; + case 2: + if(type == JSON_T_ARRAY_END) { state = 0; break; } + assert(type == JSON_T_STRING); + fdict.push_back(FD::Convert(value->vu.str.value)); + assert(fdict.back() > 0); + break; + + // is_sorted + case 3: + assert(type == JSON_T_TRUE || type == JSON_T_FALSE); + is_sorted = (type == JSON_T_TRUE); + if (!is_sorted) { cerr << "[WARNING] is_sorted flag is ignored\n"; } + state = 0; + break; + + // rules + case 4: + if(type == JSON_T_NULL) { state = 0; break; } + assert(type == JSON_T_ARRAY_BEGIN); + state = 5; + break; + case 5: + if(type == JSON_T_ARRAY_END) { state = 0; break; } + assert(type == JSON_T_INTEGER); + state = 6; + rule_id = value->vu.integer_value; + break; + case 6: + assert(type == JSON_T_STRING); + rules[rule_id] = TRulePtr(new TRule(value->vu.str.value)); + state = 5; + break; + + // Nodes + case 8: + assert(type == JSON_T_OBJECT_BEGIN); + ++nodes; + in_edges.clear(); + cat.clear(); + state = 9; break; + case 9: + if (type == JSON_T_OBJECT_END) { + //cerr << "Creating NODE\n"; + CreateNode(cat, in_edges); + state = 0; break; + } + assert(type == JSON_T_KEY); + cur_key = value->vu.str.value; + if (cur_key == "cat") { assert(cat.empty()); state = 10; break; } + if (cur_key == "in_edges") { assert(in_edges.empty()); state = 11; break; } + cerr << "Syntax error: unexpected key " << cur_key << " in node specification.\n"; + return false; + case 10: + assert(type == JSON_T_STRING || type == JSON_T_NULL); + cat = value->vu.str.value; + state = 9; break; + case 11: + if (type == JSON_T_NULL) { state = 9; break; } + assert(type == JSON_T_ARRAY_BEGIN); + state = 12; break; + case 12: + if (type == JSON_T_ARRAY_END) { state = 9; break; } + assert(type == JSON_T_INTEGER); + //cerr << "in_edges: " << value->vu.integer_value << endl; + in_edges.push_back(value->vu.integer_value); + break; + + // "edges": [ { "tail": null, "feats" : [0,1.63,1,-0.54], "rule": 12}, + // { "tail": null, "feats" : [0,0.87,1,0.02], "spans":[1,2,3,4], "rule": 17}, + // { "tail": [0], "feats" : [1,2.3,2,15.3,"ExtraFeature",1.2], "rule": 13}] + case 13: + assert(type == JSON_T_ARRAY_BEGIN); + state = 14; + break; + case 14: + if (type == JSON_T_ARRAY_END) { state = 0; break; } + assert(type == JSON_T_OBJECT_BEGIN); + //cerr << "New edge\n"; + ++edges; + cur_rule.reset(); feats.clear(); tail.clear(); + state = 15; break; + case 15: + if (type == JSON_T_OBJECT_END) { + CreateEdge(cur_rule, &feats, tail); + state = 14; break; + } + assert(type == JSON_T_KEY); + cur_key = value->vu.str.value; + //cerr << "edge key " << cur_key << endl; + if (cur_key == "rule") { assert(!cur_rule); state = 16; break; } + if (cur_key == "spans") { assert(!cur_rule); state = 22; break; } + if (cur_key == "feats") { assert(feats.empty()); state = 17; break; } + if (cur_key == "tail") { assert(tail.empty()); state = 20; break; } + cerr << "Unexpected key " << cur_key << " in edge specification\n"; + return false; + case 16: // edge.rule + if (type == JSON_T_INTEGER) { + int rule_id = value->vu.integer_value; + if (rules.find(rule_id) == rules.end()) { + // rules list must come before the edge definitions! + cerr << "Rule_id " << rule_id << " given but only loaded " << rules.size() << " rules\n"; + return false; + } + cur_rule = rules[rule_id]; + } else if (type == JSON_T_STRING) { + cur_rule.reset(new TRule(value->vu.str.value)); + } else { + cerr << "Rule must be either a rule id or a rule string" << endl; + return false; + } + // cerr << "Edge: rule=" << cur_rule->AsString() << endl; + state = 15; + break; + case 17: // edge.feats + if (type == JSON_T_NULL) { state = 15; break; } + assert(type == JSON_T_ARRAY_BEGIN); + state = 18; break; + case 18: + if (type == JSON_T_ARRAY_END) { state = 15; break; } + if (type != JSON_T_INTEGER && type != JSON_T_STRING) { + cerr << "Unexpected feature id type\n"; return false; + } + if (type == JSON_T_INTEGER) { + fid = value->vu.integer_value; + assert(fid < fdict.size()); + fid = fdict[fid]; + } else if (JSON_T_STRING) { + fid = FD::Convert(value->vu.str.value); + } else { abort(); } + state = 19; + break; + case 19: + { + assert(type == JSON_T_INTEGER || type == JSON_T_FLOAT); + double val = (type == JSON_T_INTEGER ? static_cast(value->vu.integer_value) : + strtod(value->vu.str.value, NULL)); + feats.set_value(fid, val); + state = 18; + break; + } + case 20: // edge.tail + if (type == JSON_T_NULL) { state = 15; break; } + assert(type == JSON_T_ARRAY_BEGIN); + state = 21; break; + case 21: + if (type == JSON_T_ARRAY_END) { state = 15; break; } + assert(type == JSON_T_INTEGER); + tail.push_back(value->vu.integer_value); + break; + case 22: // edge.spans + assert(type == JSON_T_ARRAY_BEGIN); + state = 23; + spans[0] = spans[1] = spans[2] = spans[3] = -1; + spanc = 0; + break; + case 23: + if (type == JSON_T_ARRAY_END) { state = 15; break; } + assert(type == JSON_T_INTEGER); + assert(spanc < 4); + spans[spanc] = value->vu.integer_value; + ++spanc; + } + return true; + } + string rp; + string cat; + SmallVector tail; + vector in_edges; + TRulePtr cur_rule; + map rules; + vector fdict; + SparseVector feats; + int state; + int fid; + int nodes; + int edges; + int spans[4]; + int spanc; + string cur_key; + Hypergraph& hg; + int rule_id; + bool nodes_needed; + bool edges_needed; + bool is_sorted; +}; + +bool HypergraphIO::ReadFromJSON(istream* in, Hypergraph* hg) { + hg->clear(); + HGReader reader(hg); + return reader.Parse(in); +} + +static void WriteRule(const TRule& r, ostream* out) { + if (!r.lhs_) { (*out) << "[X] ||| "; } + JSONParser::WriteEscapedString(r.AsString(), out); +} + +bool HypergraphIO::WriteToJSON(const Hypergraph& hg, bool remove_rules, ostream* out) { + map rid; + ostream& o = *out; + rid[NULL] = 0; + o << '{'; + if (!remove_rules) { + o << "\"rules\":["; + for (int i = 0; i < hg.edges_.size(); ++i) { + const TRule* r = hg.edges_[i].rule_.get(); + int &id = rid[r]; + if (!id) { + id=rid.size() - 1; + if (id > 1) o << ','; + o << id << ','; + WriteRule(*r, &o); + }; + } + o << "],"; + } + const bool use_fdict = FD::NumFeats() < 1000; + if (use_fdict) { + o << "\"features\":["; + for (int i = 1; i < FD::NumFeats(); ++i) { + o << (i==1 ? "":",") << '"' << FD::Convert(i) << '"'; + } + o << "],"; + } + vector edgemap(hg.edges_.size(), -1); // edges may be in non-topo order + int edge_count = 0; + for (int i = 0; i < hg.nodes_.size(); ++i) { + const Hypergraph::Node& node = hg.nodes_[i]; + if (i > 0) { o << ","; } + o << "\"edges\":["; + for (int j = 0; j < node.in_edges_.size(); ++j) { + const Hypergraph::Edge& edge = hg.edges_[node.in_edges_[j]]; + edgemap[edge.id_] = edge_count; + ++edge_count; + o << (j == 0 ? "" : ",") << "{"; + + o << "\"tail\":["; + for (int k = 0; k < edge.tail_nodes_.size(); ++k) { + o << (k > 0 ? "," : "") << edge.tail_nodes_[k]; + } + o << "],"; + + o << "\"spans\":[" << edge.i_ << "," << edge.j_ << "," << edge.prev_i_ << "," << edge.prev_j_ << "],"; + + o << "\"feats\":["; + bool first = true; + for (SparseVector::const_iterator it = edge.feature_values_.begin(); it != edge.feature_values_.end(); ++it) { + if (!it->second) continue; // don't write features that have a zero value + if (!it->first) continue; // if the feature set was frozen this might happen + if (!first) o << ','; + if (use_fdict) + o << (it->first - 1); + else + o << '"' << FD::Convert(it->first) << '"'; + o << ',' << it->second; + first = false; + } + o << "]"; + if (!remove_rules) { o << ",\"rule\":" << rid[edge.rule_.get()]; } + o << "}"; + } + o << "],"; + + o << "\"node\":{\"in_edges\":["; + for (int j = 0; j < node.in_edges_.size(); ++j) { + int mapped_edge = edgemap[node.in_edges_[j]]; + assert(mapped_edge >= 0); + o << (j == 0 ? "" : ",") << mapped_edge; + } + o << "]"; + if (node.cat_ < 0) { o << ",\"cat\":\"" << TD::Convert(node.cat_ * -1) << '"'; } + o << "}"; + } + o << "}\n"; + return true; +} + +bool needs_escape[128]; +void InitEscapes() { + memset(needs_escape, false, 128); + needs_escape[static_cast('\'')] = true; + needs_escape[static_cast('\\')] = true; +} + +string HypergraphIO::Escape(const string& s) { + size_t len = s.size(); + for (int i = 0; i < s.size(); ++i) { + unsigned char c = s[i]; + if (c < 128 && needs_escape[c]) ++len; + } + if (len == s.size()) return s; + string res(len, ' '); + size_t o = 0; + for (int i = 0; i < s.size(); ++i) { + unsigned char c = s[i]; + if (c < 128 && needs_escape[c]) + res[o++] = '\\'; + res[o++] = c; + } + assert(o == len); + return res; +} + +string HypergraphIO::AsPLF(const Hypergraph& hg, bool include_global_parentheses) { + static bool first = true; + if (first) { InitEscapes(); first = false; } + if (hg.nodes_.empty()) return "()"; + ostringstream os; + if (include_global_parentheses) os << '('; + static const string EPS="*EPS*"; + for (int i = 0; i < hg.nodes_.size()-1; ++i) { + if (hg.nodes_[i].out_edges_.empty()) abort(); + const bool last_node = (i == hg.nodes_.size() - 2); + const int out_edges_size = hg.nodes_[i].out_edges_.size(); + // compound splitter adds an extra goal transition which we suppress with + // the following conditional + if (!last_node || out_edges_size != 1 || + hg.edges_[hg.nodes_[i].out_edges_[0]].rule_->EWords() == 1) { + os << '('; + for (int j = 0; j < out_edges_size; ++j) { + const Hypergraph::Edge& e = hg.edges_[hg.nodes_[i].out_edges_[j]]; + const string output = e.rule_->e_.size() ==2 ? Escape(TD::Convert(e.rule_->e_[1])) : EPS; + double prob = log(e.edge_prob_); + if (isinf(prob)) { prob = -9e20; } + if (isnan(prob)) { prob = 0; } + os << "('" << output << "'," << prob << "," << e.head_node_ - i << "),"; + } + os << "),"; + } + } + if (include_global_parentheses) os << ')'; + return os.str(); +} + +namespace PLF { + +const string chars = "'\\"; +const char& quote = chars[0]; +const char& slash = chars[1]; + +// safe get +inline char get(const std::string& in, int c) { + if (c < 0 || c >= (int)in.size()) return 0; + else return in[(size_t)c]; +} + +// consume whitespace +inline void eatws(const std::string& in, int& c) { + while (get(in,c) == ' ') { c++; } +} + +// from 'foo' return foo +std::string getEscapedString(const std::string& in, int &c) +{ + eatws(in,c); + if (get(in,c++) != quote) return "ERROR"; + std::string res; + char cur = 0; + do { + cur = get(in,c++); + if (cur == slash) { res += get(in,c++); } + else if (cur != quote) { res += cur; } + } while (get(in,c) != quote && (c < (int)in.size())); + c++; + eatws(in,c); + return res; +} + +// basically atof +float getFloat(const std::string& in, int &c) +{ + std::string tmp; + eatws(in,c); + while (c < (int)in.size() && get(in,c) != ' ' && get(in,c) != ')' && get(in,c) != ',') { + tmp += get(in,c++); + } + eatws(in,c); + if (tmp.empty()) { + cerr << "Syntax error while reading number! col=" << c << endl; + abort(); + } + return atof(tmp.c_str()); +} + +// basically atoi +int getInt(const std::string& in, int &c) +{ + std::string tmp; + eatws(in,c); + while (c < (int)in.size() && get(in,c) != ' ' && get(in,c) != ')' && get(in,c) != ',') { + tmp += get(in,c++); + } + eatws(in,c); + return atoi(tmp.c_str()); +} + +// maximum number of nodes permitted +#define MAX_NODES 100000000 +// parse ('foo', 0.23) +void ReadPLFEdge(const std::string& in, int &c, int cur_node, Hypergraph* hg) { + if (get(in,c++) != '(') { assert(!"PCN/PLF parse error: expected ( at start of cn alt block\n"); } + vector ewords(2, 0); + ewords[1] = TD::Convert(getEscapedString(in,c)); + TRulePtr r(new TRule(ewords)); + r->ComputeArity(); + // cerr << "RULE: " << r->AsString() << endl; + if (get(in,c++) != ',') { cerr << in << endl; assert(!"PCN/PLF parse error: expected , after string\n"); } + size_t cnNext = 1; + std::vector probs; + probs.push_back(getFloat(in,c)); + while (get(in,c) == ',') { + c++; + float val = getFloat(in,c); + probs.push_back(val); + // cerr << val << endl; //REMO + } + //if we read more than one prob, this was a lattice, last item was column increment + if (probs.size()>1) { + cnNext = static_cast(probs.back()); + probs.pop_back(); + if (cnNext < 1) { cerr << cnNext << endl; + assert(!"PCN/PLF parse error: bad link length at last element of cn alt block\n"); } + } + if (get(in,c++) != ')') { assert(!"PCN/PLF parse error: expected ) at end of cn alt block\n"); } + eatws(in,c); + Hypergraph::TailNodeVector tail(1, cur_node); + Hypergraph::Edge* edge = hg->AddEdge(r, tail); + //cerr << " <--" << cur_node << endl; + int head_node = cur_node + cnNext; + assert(head_node < MAX_NODES); // prevent malicious PLFs from using all the memory + if (hg->nodes_.size() < (head_node + 1)) { hg->ResizeNodes(head_node + 1); } + hg->ConnectEdgeToHeadNode(edge, &hg->nodes_[head_node]); + for (int i = 0; i < probs.size(); ++i) + edge->feature_values_.set_value(FD::Convert("Feature_" + boost::lexical_cast(i)), probs[i]); +} + +// parse (('foo', 0.23), ('bar', 0.77)) +void ReadPLFNode(const std::string& in, int &c, int cur_node, int line, Hypergraph* hg) { + //cerr << "PLF READING NODE " << cur_node << endl; + if (hg->nodes_.size() < (cur_node + 1)) { hg->ResizeNodes(cur_node + 1); } + if (get(in,c++) != '(') { cerr << line << ": Syntax error 1\n"; abort(); } + eatws(in,c); + while (1) { + if (c > (int)in.size()) { break; } + if (get(in,c) == ')') { + c++; + eatws(in,c); + break; + } + if (get(in,c) == ',' && get(in,c+1) == ')') { + c+=2; + eatws(in,c); + break; + } + if (get(in,c) == ',') { c++; eatws(in,c); } + ReadPLFEdge(in, c, cur_node, hg); + } +} + +} // namespace PLF + +void HypergraphIO::ReadFromPLF(const std::string& in, Hypergraph* hg, int line) { + hg->clear(); + int c = 0; + int cur_node = 0; + if (in[c++] != '(') { cerr << line << ": Syntax error!\n"; abort(); } + while (1) { + if (c > (int)in.size()) { break; } + if (PLF::get(in,c) == ')') { + c++; + PLF::eatws(in,c); + break; + } + if (PLF::get(in,c) == ',' && PLF::get(in,c+1) == ')') { + c+=2; + PLF::eatws(in,c); + break; + } + if (PLF::get(in,c) == ',') { c++; PLF::eatws(in,c); } + PLF::ReadPLFNode(in, c, cur_node, line, hg); + ++cur_node; + } + assert(cur_node == hg->nodes_.size() - 1); +} + +void HypergraphIO::PLFtoLattice(const string& plf, Lattice* pl) { + Lattice& l = *pl; + Hypergraph g; + ReadFromPLF(plf, &g, 0); + const int num_nodes = g.nodes_.size() - 1; + l.resize(num_nodes); + for (int i = 0; i < num_nodes; ++i) { + vector& alts = l[i]; + const Hypergraph::Node& node = g.nodes_[i]; + const int num_alts = node.out_edges_.size(); + alts.resize(num_alts); + for (int j = 0; j < num_alts; ++j) { + const Hypergraph::Edge& edge = g.edges_[node.out_edges_[j]]; + alts[j].label = edge.rule_->e_[1]; + alts[j].cost = edge.feature_values_.value(FD::Convert("Feature_0")); + alts[j].dist2next = edge.head_node_ - node.id_; + } + } +} + +void HypergraphIO::WriteAsCFG(const Hypergraph& hg) { + vector cats(hg.nodes_.size()); + // each node in the translation forest becomes a "non-terminal" in the new + // grammar, create the labels here + const string kSEP = "_"; + for (int i = 0; i < hg.nodes_.size(); ++i) { + const char* pstr = "CAT"; + if (hg.nodes_[i].cat_ < 0) + pstr = TD::Convert(-hg.nodes_[i].cat_); + cats[i] = TD::Convert(pstr + kSEP + boost::lexical_cast(i)) * -1; + } + + for (int i = 0; i < hg.edges_.size(); ++i) { + const Hypergraph::Edge& edge = hg.edges_[i]; + const vector& tgt = edge.rule_->e(); + const vector& src = edge.rule_->f(); + TRulePtr rule(new TRule); + rule->prev_i = edge.i_; + rule->prev_j = edge.j_; + rule->lhs_ = cats[edge.head_node_]; + vector& f = rule->f_; + vector& e = rule->e_; + f.resize(tgt.size()); // swap source and target, since the parser + e.resize(src.size()); // parses using the source side! + Hypergraph::TailNodeVector tn(edge.tail_nodes_.size()); + int ntc = 0; + for (int j = 0; j < tgt.size(); ++j) { + const WordID& cur = tgt[j]; + if (cur > 0) { + f[j] = cur; + } else { + tn[ntc++] = cur; + f[j] = cats[edge.tail_nodes_[-cur]]; + } + } + ntc = 0; + for (int j = 0; j < src.size(); ++j) { + const WordID& cur = src[j]; + if (cur > 0) { + e[j] = cur; + } else { + e[j] = tn[ntc++]; + } + } + rule->scores_ = edge.feature_values_; + rule->parent_rule_ = edge.rule_; + rule->ComputeArity(); + cout << rule->AsString() << endl; + } +} + +namespace B64 { + +static const char cb64[]="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"; +static const char cd64[]="|$$$}rstuvwxyz{$$$$$$$>?@ABCDEFGHIJKLMNOPQRSTUVW$$$$$$XYZ[\\]^_`abcdefghijklmnopq"; + +static void encodeblock(const unsigned char* in, ostream* os, int len) { + char out[4]; + out[0] = cb64[ in[0] >> 2 ]; + out[1] = cb64[ ((in[0] & 0x03) << 4) | ((in[1] & 0xf0) >> 4) ]; + out[2] = (len > 1 ? cb64[ ((in[1] & 0x0f) << 2) | ((in[2] & 0xc0) >> 6) ] : '='); + out[3] = (len > 2 ? cb64[ in[2] & 0x3f ] : '='); + os->write(out, 4); +} + +void b64encode(const char* data, const size_t size, ostream* out) { + size_t cur = 0; + while(cur < size) { + int len = min(static_cast(3), size - cur); + encodeblock(reinterpret_cast(&data[cur]), out, len); + cur += len; + } +} + +static void decodeblock(const unsigned char* in, unsigned char* out) { + out[0] = (unsigned char ) (in[0] << 2 | in[1] >> 4); + out[1] = (unsigned char ) (in[1] << 4 | in[2] >> 2); + out[2] = (unsigned char ) (((in[2] << 6) & 0xc0) | in[3]); +} + +bool b64decode(const unsigned char* data, const size_t insize, char* out, const size_t outsize) { + size_t cur = 0; + size_t ocur = 0; + unsigned char in[4]; + while(cur < insize) { + assert(ocur < outsize); + for (int i = 0; i < 4; ++i) { + unsigned char v = data[cur]; + v = (unsigned char) ((v < 43 || v > 122) ? '\0' : cd64[ v - 43 ]); + if (!v) { + cerr << "B64 decode error at offset " << cur << " offending character: " << (int)data[cur] << endl; + return false; + } + v = (unsigned char) ((v == '$') ? '\0' : v - 61); + if (v) in[i] = v - 1; else in[i] = 0; + ++cur; + } + decodeblock(in, reinterpret_cast(&out[ocur])); + ocur += 3; + } + return true; +} +} + diff --git a/decoder/hg_io.h b/decoder/hg_io.h new file mode 100644 index 00000000..7162106e --- /dev/null +++ b/decoder/hg_io.h @@ -0,0 +1,39 @@ +#ifndef _HG_IO_H_ +#define _HG_IO_H_ + +#include + +#include "lattice.h" +class Hypergraph; + +struct HypergraphIO { + + // the format is basically a list of nodes and edges in topological order + // any edge you read, you must have already read its tail nodes + // any node you read, you must have already read its incoming edges + // this may make writing a bit more challenging if your forest is not + // topologically sorted (but that probably doesn't happen very often), + // but it makes reading much more memory efficient. + // see test_data/small.json.gz for an email encoding + static bool ReadFromJSON(std::istream* in, Hypergraph* out); + + // if remove_rules is used, the hypergraph is serialized without rule information + // (so it only contains structure and feature information) + static bool WriteToJSON(const Hypergraph& hg, bool remove_rules, std::ostream* out); + + static void WriteAsCFG(const Hypergraph& hg); + + // serialization utils + static void ReadFromPLF(const std::string& in, Hypergraph* out, int line = 0); + // return PLF string representation (undefined behavior on non-lattices) + static std::string AsPLF(const Hypergraph& hg, bool include_global_parentheses = true); + static void PLFtoLattice(const std::string& plf, Lattice* pl); + static std::string Escape(const std::string& s); // PLF helper +}; + +namespace B64 { + bool b64decode(const unsigned char* data, const size_t insize, char* out, const size_t outsize); + void b64encode(const char* data, const size_t size, std::ostream* out); +} + +#endif diff --git a/decoder/hg_test.cc b/decoder/hg_test.cc new file mode 100644 index 00000000..51934ad1 --- /dev/null +++ b/decoder/hg_test.cc @@ -0,0 +1,455 @@ +#include +#include +#include +#include +#include +#include "tdict.h" + +#include "json_parse.h" +#include "filelib.h" +#include "hg.h" +#include "hg_io.h" +#include "hg_intersect.h" +#include "viterbi.h" +#include "kbest.h" +#include "inside_outside.h" + +using namespace std; + +class HGTest : public testing::Test { + protected: + virtual void SetUp() { } + virtual void TearDown() { } + void CreateHG(Hypergraph* hg) const; + void CreateHG_int(Hypergraph* hg) const; + void CreateHG_tiny(Hypergraph* hg) const; + void CreateHGBalanced(Hypergraph* hg) const; + void CreateLatticeHG(Hypergraph* hg) const; + void CreateTinyLatticeHG(Hypergraph* hg) const; +}; + +void HGTest::CreateTinyLatticeHG(Hypergraph* hg) const { + const string json = "{\"rules\":[1,\"[X] ||| [1] a\",2,\"[X] ||| [1] A\",3,\"[X] ||| [1] b\",4,\"[X] ||| [1] B'\"],\"features\":[\"f1\",\"f2\",\"Feature_1\",\"Feature_0\",\"Model_0\",\"Model_1\",\"Model_2\",\"Model_3\",\"Model_4\",\"Model_5\",\"Model_6\",\"Model_7\"],\"edges\":[],\"node\":{\"in_edges\":[]},\"edges\":[{\"tail\":[0],\"feats\":[0,-0.2],\"rule\":1},{\"tail\":[0],\"feats\":[0,-0.6],\"rule\":2}],\"node\":{\"in_edges\":[0,1]},\"edges\":[{\"tail\":[1],\"feats\":[0,-0.1],\"rule\":3},{\"tail\":[1],\"feats\":[0,-0.9],\"rule\":4}],\"node\":{\"in_edges\":[2,3]}}"; + istringstream instr(json); + EXPECT_TRUE(HypergraphIO::ReadFromJSON(&instr, hg)); +} + +void HGTest::CreateLatticeHG(Hypergraph* hg) const { + const string json = "{\"rules\":[1,\"[X] ||| [1] a\",2,\"[X] ||| [1] A\",3,\"[X] ||| [1] A A\",4,\"[X] ||| [1] b\",5,\"[X] ||| [1] c\",6,\"[X] ||| [1] B C\",7,\"[X] ||| [1] A B C\",8,\"[X] ||| [1] CC\"],\"features\":[\"f1\",\"f2\",\"Feature_1\",\"Feature_0\",\"Model_0\",\"Model_1\",\"Model_2\",\"Model_3\",\"Model_4\",\"Model_5\",\"Model_6\",\"Model_7\"],\"edges\":[],\"node\":{\"in_edges\":[]},\"edges\":[{\"tail\":[0],\"feats\":[2,-0.3],\"rule\":1},{\"tail\":[0],\"feats\":[2,-0.6],\"rule\":2},{\"tail\":[0],\"feats\":[2,-1.7],\"rule\":3}],\"node\":{\"in_edges\":[0,1,2]},\"edges\":[{\"tail\":[1],\"feats\":[2,-0.5],\"rule\":4}],\"node\":{\"in_edges\":[3]},\"edges\":[{\"tail\":[2],\"feats\":[2,-0.6],\"rule\":5},{\"tail\":[1],\"feats\":[2,-0.8],\"rule\":6},{\"tail\":[0],\"feats\":[2,-0.01],\"rule\":7},{\"tail\":[2],\"feats\":[2,-0.8],\"rule\":8}],\"node\":{\"in_edges\":[4,5,6,7]}}"; + istringstream instr(json); + EXPECT_TRUE(HypergraphIO::ReadFromJSON(&instr, hg)); +} + +void HGTest::CreateHG_tiny(Hypergraph* hg) const { + const string json = "{\"rules\":[1,\"[X] ||| \",2,\"[X] ||| X [1]\",3,\"[X] ||| Z [1]\"],\"features\":[\"f1\",\"f2\",\"Feature_1\",\"Feature_0\",\"Model_0\",\"Model_1\",\"Model_2\",\"Model_3\",\"Model_4\",\"Model_5\",\"Model_6\",\"Model_7\"],\"edges\":[{\"tail\":[],\"feats\":[0,-2,1,-99],\"rule\":1}],\"node\":{\"in_edges\":[0]},\"edges\":[{\"tail\":[0],\"feats\":[0,-0.5,1,-0.8],\"rule\":2},{\"tail\":[0],\"feats\":[0,-0.7,1,-0.9],\"rule\":3}],\"node\":{\"in_edges\":[1,2]}}"; + istringstream instr(json); + EXPECT_TRUE(HypergraphIO::ReadFromJSON(&instr, hg)); +} + +void HGTest::CreateHG_int(Hypergraph* hg) const { + const string json = "{\"rules\":[1,\"[X] ||| a\",2,\"[X] ||| b\",3,\"[X] ||| a [1]\",4,\"[X] ||| [1] b\"],\"features\":[\"f1\",\"f2\",\"Feature_1\",\"Feature_0\",\"Model_0\",\"Model_1\",\"Model_2\",\"Model_3\",\"Model_4\",\"Model_5\",\"Model_6\",\"Model_7\"],\"edges\":[{\"tail\":[],\"feats\":[0,0.1],\"rule\":1},{\"tail\":[],\"feats\":[0,0.1],\"rule\":2}],\"node\":{\"in_edges\":[0,1],\"cat\":\"X\"},\"edges\":[{\"tail\":[0],\"feats\":[0,0.3],\"rule\":3},{\"tail\":[0],\"feats\":[0,0.2],\"rule\":4}],\"node\":{\"in_edges\":[2,3],\"cat\":\"Goal\"}}"; + istringstream instr(json); + EXPECT_TRUE(HypergraphIO::ReadFromJSON(&instr, hg)); +} + +void HGTest::CreateHG(Hypergraph* hg) const { + string json = "{\"rules\":[1,\"[X] ||| a\",2,\"[X] ||| A [1]\",3,\"[X] ||| c\",4,\"[X] ||| C [1]\",5,\"[X] ||| [1] B [2]\",6,\"[X] ||| [1] b [2]\",7,\"[X] ||| X [1]\",8,\"[X] ||| Z [1]\"],\"features\":[\"f1\",\"f2\",\"Feature_1\",\"Feature_0\",\"Model_0\",\"Model_1\",\"Model_2\",\"Model_3\",\"Model_4\",\"Model_5\",\"Model_6\",\"Model_7\"],\"edges\":[{\"tail\":[],\"feats\":[],\"rule\":1}],\"node\":{\"in_edges\":[0]},\"edges\":[{\"tail\":[0],\"feats\":[0,-0.8,1,-0.1],\"rule\":2}],\"node\":{\"in_edges\":[1]},\"edges\":[{\"tail\":[],\"feats\":[1,-1],\"rule\":3}],\"node\":{\"in_edges\":[2]},\"edges\":[{\"tail\":[2],\"feats\":[0,-0.2,1,-0.1],\"rule\":4}],\"node\":{\"in_edges\":[3]},\"edges\":[{\"tail\":[1,3],\"feats\":[0,-1.2,1,-0.2],\"rule\":5},{\"tail\":[1,3],\"feats\":[0,-0.5,1,-1.3],\"rule\":6}],\"node\":{\"in_edges\":[4,5]},\"edges\":[{\"tail\":[4],\"feats\":[0,-0.5,1,-0.8],\"rule\":7},{\"tail\":[4],\"feats\":[0,-0.7,1,-0.9],\"rule\":8}],\"node\":{\"in_edges\":[6,7]}}"; + istringstream instr(json); + EXPECT_TRUE(HypergraphIO::ReadFromJSON(&instr, hg)); +} + +void HGTest::CreateHGBalanced(Hypergraph* hg) const { + const string json = "{\"rules\":[1,\"[X] ||| i\",2,\"[X] ||| a\",3,\"[X] ||| b\",4,\"[X] ||| [1] [2]\",5,\"[X] ||| [1] [2]\",6,\"[X] ||| c\",7,\"[X] ||| d\",8,\"[X] ||| [1] [2]\",9,\"[X] ||| [1] [2]\",10,\"[X] ||| [1] [2]\",11,\"[X] ||| [1] [2]\",12,\"[X] ||| [1] [2]\",13,\"[X] ||| [1] [2]\"],\"features\":[\"f1\",\"f2\",\"Feature_1\",\"Feature_0\",\"Model_0\",\"Model_1\",\"Model_2\",\"Model_3\",\"Model_4\",\"Model_5\",\"Model_6\",\"Model_7\"],\"edges\":[{\"tail\":[],\"feats\":[],\"rule\":1}],\"node\":{\"in_edges\":[0]},\"edges\":[{\"tail\":[],\"feats\":[],\"rule\":2}],\"node\":{\"in_edges\":[1]},\"edges\":[{\"tail\":[],\"feats\":[],\"rule\":3}],\"node\":{\"in_edges\":[2]},\"edges\":[{\"tail\":[1,2],\"feats\":[],\"rule\":4},{\"tail\":[2,1],\"feats\":[],\"rule\":5}],\"node\":{\"in_edges\":[3,4]},\"edges\":[{\"tail\":[],\"feats\":[],\"rule\":6}],\"node\":{\"in_edges\":[5]},\"edges\":[{\"tail\":[],\"feats\":[],\"rule\":7}],\"node\":{\"in_edges\":[6]},\"edges\":[{\"tail\":[4,5],\"feats\":[],\"rule\":8},{\"tail\":[5,4],\"feats\":[],\"rule\":9}],\"node\":{\"in_edges\":[7,8]},\"edges\":[{\"tail\":[3,6],\"feats\":[],\"rule\":10},{\"tail\":[6,3],\"feats\":[],\"rule\":11}],\"node\":{\"in_edges\":[9,10]},\"edges\":[{\"tail\":[7,0],\"feats\":[],\"rule\":12},{\"tail\":[0,7],\"feats\":[],\"rule\":13}],\"node\":{\"in_edges\":[11,12]}}"; + istringstream instr(json); + EXPECT_TRUE(HypergraphIO::ReadFromJSON(&instr, hg)); +} + +TEST_F(HGTest,Controlled) { + Hypergraph hg; + CreateHG_tiny(&hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 0.4); + wts.set_value(FD::Convert("f2"), 0.8); + hg.Reweight(wts); + vector trans; + prob_t prob = ViterbiESentence(hg, &trans); + cerr << TD::GetString(trans) << "\n"; + cerr << "prob: " << prob << "\n"; + EXPECT_FLOAT_EQ(-80.839996, log(prob)); + EXPECT_EQ("X ", TD::GetString(trans)); + vector post; + hg.PrintGraphviz(); + prob_t c2 = Inside(hg, NULL, ScaledEdgeProb(0.6)); + EXPECT_FLOAT_EQ(-47.8577, log(c2)); +} + +TEST_F(HGTest,Union) { + Hypergraph hg1; + Hypergraph hg2; + CreateHG_tiny(&hg1); + CreateHG(&hg2); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 0.4); + wts.set_value(FD::Convert("f2"), 1.0); + hg1.Reweight(wts); + hg2.Reweight(wts); + prob_t c1,c2,c3,c4; + vector t1,t2,t3,t4; + c1 = ViterbiESentence(hg1, &t1); + c2 = ViterbiESentence(hg2, &t2); + int l2 = ViterbiPathLength(hg2); + cerr << c1 << "\t" << TD::GetString(t1) << endl; + cerr << c2 << "\t" << TD::GetString(t2) << endl; + hg1.Union(hg2); + hg1.Reweight(wts); + c3 = ViterbiESentence(hg1, &t3); + int l3 = ViterbiPathLength(hg1); + cerr << c3 << "\t" << TD::GetString(t3) << endl; + EXPECT_FLOAT_EQ(c2, c3); + EXPECT_EQ(TD::GetString(t2), TD::GetString(t3)); + EXPECT_EQ(l2, l3); + + wts.set_value(FD::Convert("f2"), -1); + hg1.Reweight(wts); + c4 = ViterbiESentence(hg1, &t4); + cerr << c4 << "\t" << TD::GetString(t4) << endl; + EXPECT_EQ("Z ", TD::GetString(t4)); + EXPECT_FLOAT_EQ(98.82, log(c4)); + + vector, prob_t> > list; + KBest::KBestDerivations, ESentenceTraversal> kbest(hg1, 10); + for (int i = 0; i < 10; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest.LazyKthBest(hg1.nodes_.size() - 1, i); + if (!d) break; + list.push_back(make_pair(d->yield, d->score)); + } + EXPECT_TRUE(list[0].first == t4); + EXPECT_FLOAT_EQ(log(list[0].second), log(c4)); + EXPECT_EQ(list.size(), 6); + EXPECT_FLOAT_EQ(log(list.back().second / list.front().second), -97.7); +} + +TEST_F(HGTest,ControlledKBest) { + Hypergraph hg; + CreateHG(&hg); + vector w(2); w[0]=0.4; w[1]=0.8; + hg.Reweight(w); + vector trans; + prob_t cost = ViterbiESentence(hg, &trans); + cerr << TD::GetString(trans) << "\n"; + cerr << "cost: " << cost << "\n"; + + int best = 0; + KBest::KBestDerivations, ESentenceTraversal> kbest(hg, 10); + for (int i = 0; i < 10; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest.LazyKthBest(hg.nodes_.size() - 1, i); + if (!d) break; + cerr << TD::GetString(d->yield) << endl; + ++best; + } + EXPECT_EQ(4, best); +} + + +TEST_F(HGTest,InsideScore) { + SparseVector wts; + wts.set_value(FD::Convert("f1"), 1.0); + Hypergraph hg; + CreateTinyLatticeHG(&hg); + hg.Reweight(wts); + vector trans; + prob_t cost = ViterbiESentence(hg, &trans); + cerr << TD::GetString(trans) << "\n"; + cerr << "cost: " << cost << "\n"; + hg.PrintGraphviz(); + prob_t inside = Inside(hg); + EXPECT_FLOAT_EQ(1.7934048, inside); // computed by hand + vector post; + inside = hg.ComputeBestPathThroughEdges(&post); + EXPECT_FLOAT_EQ(-0.3, log(inside)); // computed by hand + EXPECT_EQ(post.size(), 4); + for (int i = 0; i < 4; ++i) { + cerr << "edge post: " << log(post[i]) << '\t' << hg.edges_[i].rule_->AsString() << endl; + } +} + + +TEST_F(HGTest,PruneInsideOutside) { + SparseVector wts; + wts.set_value(FD::Convert("Feature_1"), 1.0); + Hypergraph hg; + CreateLatticeHG(&hg); + hg.Reweight(wts); + vector trans; + prob_t cost = ViterbiESentence(hg, &trans); + cerr << TD::GetString(trans) << "\n"; + cerr << "cost: " << cost << "\n"; + hg.PrintGraphviz(); + //hg.DensityPruneInsideOutside(0.5, false, 2.0); + hg.BeamPruneInsideOutside(0.5, false, 0.5); + cost = ViterbiESentence(hg, &trans); + cerr << "Ncst: " << cost << endl; + cerr << TD::GetString(trans) << "\n"; + hg.PrintGraphviz(); +} + +TEST_F(HGTest,TestPruneEdges) { + Hypergraph hg; + CreateLatticeHG(&hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 1.0); + hg.Reweight(wts); + hg.PrintGraphviz(); + vector prune(hg.edges_.size(), true); + prune[6] = false; + hg.PruneEdges(prune); + cerr << "Pruned:\n"; + hg.PrintGraphviz(); +} + +TEST_F(HGTest,TestIntersect) { + Hypergraph hg; + CreateHG_int(&hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 1.0); + hg.Reweight(wts); + hg.PrintGraphviz(); + + int best = 0; + KBest::KBestDerivations, ESentenceTraversal> kbest(hg, 10); + for (int i = 0; i < 10; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest.LazyKthBest(hg.nodes_.size() - 1, i); + if (!d) break; + cerr << TD::GetString(d->yield) << endl; + ++best; + } + EXPECT_EQ(4, best); + + Lattice target(2); + target[0].push_back(LatticeArc(TD::Convert("a"), 0.0, 1)); + target[1].push_back(LatticeArc(TD::Convert("b"), 0.0, 1)); + HG::Intersect(target, &hg); + hg.PrintGraphviz(); +} + +TEST_F(HGTest,TestPrune2) { + Hypergraph hg; + CreateHG_int(&hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 1.0); + hg.Reweight(wts); + hg.PrintGraphviz(); + vector rem(hg.edges_.size(), false); + rem[0] = true; + rem[1] = true; + hg.PruneEdges(rem); + hg.PrintGraphviz(); + cerr << "TODO: fix this pruning behavior-- the resulting HG should be empty!\n"; +} + +TEST_F(HGTest,Sample) { + Hypergraph hg; + CreateLatticeHG(&hg); + SparseVector wts; + wts.set_value(FD::Convert("Feature_1"), 0.0); + hg.Reweight(wts); + vector trans; + prob_t cost = ViterbiESentence(hg, &trans); + cerr << TD::GetString(trans) << "\n"; + cerr << "cost: " << cost << "\n"; + hg.PrintGraphviz(); +} + +TEST_F(HGTest,PLF) { + Hypergraph hg; + string inplf = "((('haupt',-2.06655,1),('hauptgrund',-5.71033,2),),(('grund',-1.78709,1),),(('für\\'',0.1,1),),)"; + HypergraphIO::ReadFromPLF(inplf, &hg); + SparseVector wts; + wts.set_value(FD::Convert("Feature_0"), 1.0); + hg.Reweight(wts); + hg.PrintGraphviz(); + string outplf = HypergraphIO::AsPLF(hg); + cerr << " IN: " << inplf << endl; + cerr << "OUT: " << outplf << endl; + assert(inplf == outplf); +} + +TEST_F(HGTest,PushWeightsToGoal) { + Hypergraph hg; + CreateHG(&hg); + vector w(2); w[0]=0.4; w[1]=0.8; + hg.Reweight(w); + vector trans; + prob_t cost = ViterbiESentence(hg, &trans); + cerr << TD::GetString(trans) << "\n"; + cerr << "cost: " << cost << "\n"; + hg.PrintGraphviz(); + hg.PushWeightsToGoal(); + hg.PrintGraphviz(); +} + +TEST_F(HGTest,TestSpecialKBest) { + Hypergraph hg; + CreateHGBalanced(&hg); + vector w(1); w[0]=0; + hg.Reweight(w); + vector, prob_t> > list; + KBest::KBestDerivations, ESentenceTraversal> kbest(hg, 100000); + for (int i = 0; i < 100000; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest.LazyKthBest(hg.nodes_.size() - 1, i); + if (!d) break; + cerr << TD::GetString(d->yield) << endl; + } + hg.PrintGraphviz(); +} + +TEST_F(HGTest, TestGenericViterbi) { + Hypergraph hg; + CreateHG_tiny(&hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 0.4); + wts.set_value(FD::Convert("f2"), 0.8); + hg.Reweight(wts); + vector trans; + const prob_t prob = ViterbiESentence(hg, &trans); + cerr << TD::GetString(trans) << "\n"; + cerr << "prob: " << prob << "\n"; + EXPECT_FLOAT_EQ(-80.839996, log(prob)); + EXPECT_EQ("X ", TD::GetString(trans)); +} + +TEST_F(HGTest, TestGenericInside) { + Hypergraph hg; + CreateTinyLatticeHG(&hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 1.0); + hg.Reweight(wts); + vector inside; + prob_t ins = Inside(hg, &inside); + EXPECT_FLOAT_EQ(1.7934048, ins); // computed by hand + vector outside; + Outside(hg, inside, &outside); + EXPECT_EQ(3, outside.size()); + EXPECT_FLOAT_EQ(1.7934048, outside[0]); + EXPECT_FLOAT_EQ(1.3114071, outside[1]); + EXPECT_FLOAT_EQ(1.0, outside[2]); +} + +TEST_F(HGTest,TestGenericInside2) { + Hypergraph hg; + CreateHG(&hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 0.4); + wts.set_value(FD::Convert("f2"), 0.8); + hg.Reweight(wts); + vector inside, outside; + prob_t ins = Inside(hg, &inside); + Outside(hg, inside, &outside); + for (int i = 0; i < hg.nodes_.size(); ++i) + cerr << i << "\t" << log(inside[i]) << "\t" << log(outside[i]) << endl; + EXPECT_FLOAT_EQ(0, log(inside[0])); + EXPECT_FLOAT_EQ(-1.7861683, log(outside[0])); + EXPECT_FLOAT_EQ(-0.4, log(inside[1])); + EXPECT_FLOAT_EQ(-1.3861683, log(outside[1])); + EXPECT_FLOAT_EQ(-0.8, log(inside[2])); + EXPECT_FLOAT_EQ(-0.986168, log(outside[2])); + EXPECT_FLOAT_EQ(-0.96, log(inside[3])); + EXPECT_FLOAT_EQ(-0.8261683, log(outside[3])); + EXPECT_FLOAT_EQ(-1.562512, log(inside[4])); + EXPECT_FLOAT_EQ(-0.22365622, log(outside[4])); + EXPECT_FLOAT_EQ(-1.7861683, log(inside[5])); + EXPECT_FLOAT_EQ(0, log(outside[5])); +} + +TEST_F(HGTest,TestAddExpectations) { + Hypergraph hg; + CreateHG(&hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 0.4); + wts.set_value(FD::Convert("f2"), 0.8); + hg.Reweight(wts); + SparseVector feat_exps; + prob_t z = InsideOutside, EdgeFeaturesAndProbWeightFunction>(hg, &feat_exps); + EXPECT_FLOAT_EQ(-2.5439765, feat_exps[FD::Convert("f1")] / z); + EXPECT_FLOAT_EQ(-2.6357865, feat_exps[FD::Convert("f2")] / z); + cerr << feat_exps << endl; + cerr << "Z=" << z << endl; +} + +TEST_F(HGTest, Small) { + ReadFile rf("test_data/small.json.gz"); + Hypergraph hg; + assert(HypergraphIO::ReadFromJSON(rf.stream(), &hg)); + SparseVector wts; + wts.set_value(FD::Convert("Model_0"), -2.0); + wts.set_value(FD::Convert("Model_1"), -0.5); + wts.set_value(FD::Convert("Model_2"), -1.1); + wts.set_value(FD::Convert("Model_3"), -1.0); + wts.set_value(FD::Convert("Model_4"), -1.0); + wts.set_value(FD::Convert("Model_5"), 0.5); + wts.set_value(FD::Convert("Model_6"), 0.2); + wts.set_value(FD::Convert("Model_7"), -3.0); + hg.Reweight(wts); + vector trans; + prob_t cost = ViterbiESentence(hg, &trans); + cerr << TD::GetString(trans) << "\n"; + cerr << "cost: " << cost << "\n"; + vector post; + prob_t c2 = Inside(hg, NULL, ScaledEdgeProb(0.6)); + EXPECT_FLOAT_EQ(2.1431036, log(c2)); +} + +TEST_F(HGTest, JSONTest) { + ostringstream os; + JSONParser::WriteEscapedString("\"I don't know\", she said.", &os); + EXPECT_EQ("\"\\\"I don't know\\\", she said.\"", os.str()); + ostringstream os2; + JSONParser::WriteEscapedString("yes", &os2); + EXPECT_EQ("\"yes\"", os2.str()); +} + +TEST_F(HGTest, TestGenericKBest) { + Hypergraph hg; + CreateHG(&hg); + //CreateHGBalanced(&hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 0.4); + wts.set_value(FD::Convert("f2"), 1.0); + hg.Reweight(wts); + vector trans; + prob_t cost = ViterbiESentence(hg, &trans); + cerr << TD::GetString(trans) << "\n"; + cerr << "cost: " << cost << "\n"; + + KBest::KBestDerivations, ESentenceTraversal> kbest(hg, 1000); + for (int i = 0; i < 1000; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest.LazyKthBest(hg.nodes_.size() - 1, i); + if (!d) break; + cerr << TD::GetString(d->yield) << " F:" << d->feature_values << endl; + } +} + +TEST_F(HGTest, TestReadWriteHG) { + Hypergraph hg,hg2; + CreateHG(&hg); + hg.edges_.front().j_ = 23; + hg.edges_.back().prev_i_ = 99; + ostringstream os; + HypergraphIO::WriteToJSON(hg, false, &os); + istringstream is(os.str()); + HypergraphIO::ReadFromJSON(&is, &hg2); + EXPECT_EQ(hg2.NumberOfPaths(), hg.NumberOfPaths()); + EXPECT_EQ(hg2.edges_.front().j_, 23); + EXPECT_EQ(hg2.edges_.back().prev_i_, 99); +} + +int main(int argc, char **argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} diff --git a/decoder/inside_outside.h b/decoder/inside_outside.h new file mode 100644 index 00000000..3c7518f2 --- /dev/null +++ b/decoder/inside_outside.h @@ -0,0 +1,112 @@ +#ifndef _INSIDE_H_ +#define _INSIDE_H_ + +#include +#include +#include "hg.h" + +// run the inside algorithm and return the inside score +// if result is non-NULL, result will contain the inside +// score for each node +// NOTE: WeightType() must construct the semiring's additive identity +// WeightType(1) must construct the semiring's multiplicative identity +template +WeightType Inside(const Hypergraph& hg, + std::vector* result = NULL, + const WeightFunction& weight = WeightFunction()) { + const int num_nodes = hg.nodes_.size(); + std::vector dummy; + std::vector& inside_score = result ? *result : dummy; + inside_score.resize(num_nodes); + std::fill(inside_score.begin(), inside_score.end(), WeightType()); + for (int i = 0; i < num_nodes; ++i) { + const Hypergraph::Node& cur_node = hg.nodes_[i]; + WeightType* const cur_node_inside_score = &inside_score[i]; + const int num_in_edges = cur_node.in_edges_.size(); + if (num_in_edges == 0) { + *cur_node_inside_score = WeightType(1); + continue; + } + for (int j = 0; j < num_in_edges; ++j) { + const Hypergraph::Edge& edge = hg.edges_[cur_node.in_edges_[j]]; + WeightType score = weight(edge); + for (int k = 0; k < edge.tail_nodes_.size(); ++k) { + const int tail_node_index = edge.tail_nodes_[k]; + score *= inside_score[tail_node_index]; + } + *cur_node_inside_score += score; + } + } + return inside_score.back(); +} + +template +void Outside(const Hypergraph& hg, + std::vector& inside_score, + std::vector* result, + const WeightFunction& weight = WeightFunction()) { + assert(result); + const int num_nodes = hg.nodes_.size(); + assert(inside_score.size() == num_nodes); + std::vector& outside_score = *result; + outside_score.resize(num_nodes); + std::fill(outside_score.begin(), outside_score.end(), WeightType()); + outside_score.back() = WeightType(1); + for (int i = num_nodes - 1; i >= 0; --i) { + const Hypergraph::Node& cur_node = hg.nodes_[i]; + const WeightType& head_node_outside_score = outside_score[i]; + const int num_in_edges = cur_node.in_edges_.size(); + for (int j = 0; j < num_in_edges; ++j) { + const Hypergraph::Edge& edge = hg.edges_[cur_node.in_edges_[j]]; + WeightType head_and_edge_weight = weight(edge); + head_and_edge_weight *= head_node_outside_score; + const int num_tail_nodes = edge.tail_nodes_.size(); + for (int k = 0; k < num_tail_nodes; ++k) { + const int update_tail_node_index = edge.tail_nodes_[k]; + WeightType* const tail_outside_score = &outside_score[update_tail_node_index]; + WeightType inside_contribution = WeightType(1); + for (int l = 0; l < num_tail_nodes; ++l) { + const int other_tail_node_index = edge.tail_nodes_[l]; + if (update_tail_node_index != other_tail_node_index) + inside_contribution *= inside_score[other_tail_node_index]; + } + inside_contribution *= head_and_edge_weight; + *tail_outside_score += inside_contribution; + } + } + } +} + +// this is the Inside-Outside optimization described in Li and Eisner (EMNLP 2009) +// for computing the inside algorithm over expensive semirings +// (such as expectations over features). See Figure 4. +// NOTE: XType * KType must be valid (and yield XType) +// NOTE: This may do things slightly differently than you are used to, please +// read the description in Li and Eisner (2009) carefully! +template +KType InsideOutside(const Hypergraph& hg, + XType* result_x, + const KWeightFunction& kwf = KWeightFunction(), + const XWeightFunction& xwf = XWeightFunction()) { + const int num_nodes = hg.nodes_.size(); + std::vector inside, outside; + const KType k = Inside(hg, &inside, kwf); + Outside(hg, inside, &outside, kwf); + XType& x = *result_x; + x = XType(); // default constructor is semiring 0 + for (int i = 0; i < num_nodes; ++i) { + const Hypergraph::Node& cur_node = hg.nodes_[i]; + const int num_in_edges = cur_node.in_edges_.size(); + for (int j = 0; j < num_in_edges; ++j) { + const Hypergraph::Edge& edge = hg.edges_[cur_node.in_edges_[j]]; + KType kbar_e = outside[i]; + const int num_tail_nodes = edge.tail_nodes_.size(); + for (int k = 0; k < num_tail_nodes; ++k) + kbar_e *= inside[edge.tail_nodes_[k]]; + x += xwf(edge) * kbar_e; + } + } + return k; +} + +#endif diff --git a/decoder/json_parse.cc b/decoder/json_parse.cc new file mode 100644 index 00000000..f6fdfea8 --- /dev/null +++ b/decoder/json_parse.cc @@ -0,0 +1,50 @@ +#include "json_parse.h" + +#include +#include + +using namespace std; + +static const char *json_hex_chars = "0123456789abcdef"; + +void JSONParser::WriteEscapedString(const string& in, ostream* out) { + int pos = 0; + int start_offset = 0; + unsigned char c = 0; + (*out) << '"'; + while(pos < in.size()) { + c = in[pos]; + switch(c) { + case '\b': + case '\n': + case '\r': + case '\t': + case '"': + case '\\': + case '/': + if(pos - start_offset > 0) + (*out) << in.substr(start_offset, pos - start_offset); + if(c == '\b') (*out) << "\\b"; + else if(c == '\n') (*out) << "\\n"; + else if(c == '\r') (*out) << "\\r"; + else if(c == '\t') (*out) << "\\t"; + else if(c == '"') (*out) << "\\\""; + else if(c == '\\') (*out) << "\\\\"; + else if(c == '/') (*out) << "\\/"; + start_offset = ++pos; + break; + default: + if(c < ' ') { + cerr << "Warning, bad character (" << static_cast(c) << ") in string\n"; + if(pos - start_offset > 0) + (*out) << in.substr(start_offset, pos - start_offset); + (*out) << "\\u00" << json_hex_chars[c >> 4] << json_hex_chars[c & 0xf]; + start_offset = ++pos; + } else pos++; + } + } + if(pos - start_offset > 0) + (*out) << in.substr(start_offset, pos - start_offset); + (*out) << '"'; +} + diff --git a/decoder/json_parse.h b/decoder/json_parse.h new file mode 100644 index 00000000..c3cba954 --- /dev/null +++ b/decoder/json_parse.h @@ -0,0 +1,58 @@ +#ifndef _JSON_WRAPPER_H_ +#define _JSON_WRAPPER_H_ + +#include +#include +#include "JSON_parser.h" + +class JSONParser { + public: + JSONParser() { + init_JSON_config(&config); + hack.mf = &JSONParser::Callback; + config.depth = 10; + config.callback_ctx = reinterpret_cast(this); + config.callback = hack.cb; + config.allow_comments = 1; + config.handle_floats_manually = 1; + jc = new_JSON_parser(&config); + } + virtual ~JSONParser() { + delete_JSON_parser(jc); + } + bool Parse(std::istream* in) { + int count = 0; + int lc = 1; + for (; in ; ++count) { + int next_char = in->get(); + if (!in->good()) break; + if (lc == '\n') { ++lc; } + if (!JSON_parser_char(jc, next_char)) { + std::cerr << "JSON_parser_char: syntax error, line " << lc << " (byte " << count << ")" << std::endl; + return false; + } + } + if (!JSON_parser_done(jc)) { + std::cerr << "JSON_parser_done: syntax error\n"; + return false; + } + return true; + } + static void WriteEscapedString(const std::string& in, std::ostream* out); + protected: + virtual bool HandleJSONEvent(int type, const JSON_value* value) = 0; + private: + int Callback(int type, const JSON_value* value) { + if (HandleJSONEvent(type, value)) return 1; + return 0; + } + JSON_parser_struct* jc; + JSON_config config; + typedef int (JSONParser::* MF)(int type, const struct JSON_value_struct* value); + union CBHack { + JSON_parser_callback cb; + MF mf; + } hack; +}; + +#endif diff --git a/decoder/kbest.h b/decoder/kbest.h new file mode 100644 index 00000000..fcd40fcd --- /dev/null +++ b/decoder/kbest.h @@ -0,0 +1,208 @@ +#ifndef _HG_KBEST_H_ +#define _HG_KBEST_H_ + +#include +#include +#include + +#include + +#include "wordid.h" +#include "hg.h" + +namespace KBest { + // default, don't filter any derivations from the k-best list + struct NoFilter { + bool operator()(const std::vector& yield) { + (void) yield; + return false; + } + }; + + // optional, filter unique yield strings + struct FilterUnique { + std::tr1::unordered_set, boost::hash > > unique; + + bool operator()(const std::vector& yield) { + return !unique.insert(yield).second; + } + }; + + // utility class to lazily create the k-best derivations from a forest, uses + // the lazy k-best algorithm (Algorithm 3) from Huang and Chiang (IWPT 2005) + template + struct KBestDerivations { + KBestDerivations(const Hypergraph& hg, + const size_t k, + const Traversal& tf = Traversal(), + const WeightFunction& wf = WeightFunction()) : + traverse(tf), w(wf), g(hg), nds(g.nodes_.size()), k_prime(k) {} + + ~KBestDerivations() { + for (int i = 0; i < freelist.size(); ++i) + delete freelist[i]; + } + + struct Derivation { + Derivation(const Hypergraph::Edge& e, + const SmallVector& jv, + const WeightType& w, + const SparseVector& f) : + edge(&e), + j(jv), + score(w), + feature_values(f) {} + + // dummy constructor, just for query + Derivation(const Hypergraph::Edge& e, + const SmallVector& jv) : edge(&e), j(jv) {} + + T yield; + const Hypergraph::Edge* const edge; + const SmallVector j; + const WeightType score; + const SparseVector feature_values; + }; + struct HeapCompare { + bool operator()(const Derivation* a, const Derivation* b) const { + return a->score < b->score; + } + }; + struct DerivationCompare { + bool operator()(const Derivation* a, const Derivation* b) const { + return a->score > b->score; + } + }; + struct DerivationUniquenessHash { + size_t operator()(const Derivation* d) const { + size_t x = 5381; + x = ((x << 5) + x) ^ d->edge->id_; + for (int i = 0; i < d->j.size(); ++i) + x = ((x << 5) + x) ^ d->j[i]; + return x; + } + }; + struct DerivationUniquenessEquals { + bool operator()(const Derivation* a, const Derivation* b) const { + return (a->edge == b->edge) && (a->j == b->j); + } + }; + typedef std::vector CandidateHeap; + typedef std::vector DerivationList; + typedef std::tr1::unordered_set< + const Derivation*, DerivationUniquenessHash, DerivationUniquenessEquals> UniqueDerivationSet; + + struct NodeDerivationState { + CandidateHeap cand; + DerivationList D; + DerivationFilter filter; + UniqueDerivationSet ds; + explicit NodeDerivationState(const DerivationFilter& f = DerivationFilter()) : filter(f) {} + }; + + Derivation* LazyKthBest(int v, int k) { + NodeDerivationState& s = GetCandidates(v); + CandidateHeap& cand = s.cand; + DerivationList& D = s.D; + DerivationFilter& filter = s.filter; + bool add_next = true; + while (D.size() <= k) { + if (add_next && D.size() > 0) { + const Derivation* d = D.back(); + LazyNext(d, &cand, &s.ds); + } + add_next = false; + + if (cand.size() > 0) { + std::pop_heap(cand.begin(), cand.end(), HeapCompare()); + Derivation* d = cand.back(); + cand.pop_back(); + std::vector ants(d->edge->Arity()); + for (int j = 0; j < ants.size(); ++j) + ants[j] = &LazyKthBest(d->edge->tail_nodes_[j], d->j[j])->yield; + traverse(*d->edge, ants, &d->yield); + if (!filter(d->yield)) { + D.push_back(d); + add_next = true; + } + } else { + break; + } + } + if (k < D.size()) return D[k]; else return NULL; + } + + private: + // creates a derivation object with all fields set but the yield + // the yield is computed in LazyKthBest before the derivation is added to D + // returns NULL if j refers to derivation numbers larger than the + // antecedent structure define + Derivation* CreateDerivation(const Hypergraph::Edge& e, const SmallVector& j) { + WeightType score = w(e); + SparseVector feats = e.feature_values_; + for (int i = 0; i < e.Arity(); ++i) { + const Derivation* ant = LazyKthBest(e.tail_nodes_[i], j[i]); + if (!ant) { return NULL; } + score *= ant->score; + feats += ant->feature_values; + } + freelist.push_back(new Derivation(e, j, score, feats)); + return freelist.back(); + } + + NodeDerivationState& GetCandidates(int v) { + NodeDerivationState& s = nds[v]; + if (!s.D.empty() || !s.cand.empty()) return s; + + const Hypergraph::Node& node = g.nodes_[v]; + for (int i = 0; i < node.in_edges_.size(); ++i) { + const Hypergraph::Edge& edge = g.edges_[node.in_edges_[i]]; + SmallVector jv(edge.Arity(), 0); + Derivation* d = CreateDerivation(edge, jv); + assert(d); + s.cand.push_back(d); + } + + const int effective_k = std::min(k_prime, s.cand.size()); + const typename CandidateHeap::iterator kth = s.cand.begin() + effective_k; + std::nth_element(s.cand.begin(), kth, s.cand.end(), DerivationCompare()); + s.cand.resize(effective_k); + std::make_heap(s.cand.begin(), s.cand.end(), HeapCompare()); + + return s; + } + + void LazyNext(const Derivation* d, CandidateHeap* cand, UniqueDerivationSet* ds) { + for (int i = 0; i < d->j.size(); ++i) { + SmallVector j = d->j; + ++j[i]; + const Derivation* ant = LazyKthBest(d->edge->tail_nodes_[i], j[i]); + if (ant) { + Derivation query_unique(*d->edge, j); + if (ds->count(&query_unique) == 0) { + Derivation* new_d = CreateDerivation(*d->edge, j); + if (new_d) { + cand->push_back(new_d); + std::push_heap(cand->begin(), cand->end(), HeapCompare()); + bool inserted = ds->insert(new_d).second; // insert into uniqueness set + assert(inserted); + } + } + } + } + } + + const Traversal traverse; + const WeightFunction w; + const Hypergraph& g; + std::vector nds; + std::vector freelist; + const size_t k_prime; + }; +} + +#endif diff --git a/decoder/lattice.cc b/decoder/lattice.cc new file mode 100644 index 00000000..e3631e59 --- /dev/null +++ b/decoder/lattice.cc @@ -0,0 +1,62 @@ +#include "lattice.h" + +#include "tdict.h" +#include "hg_io.h" + +using namespace std; + +static const int kUNREACHABLE = 99999999; + +void Lattice::ComputeDistances() { + const int n = this->size() + 1; + dist_.resize(n, n, kUNREACHABLE); + for (int i = 0; i < this->size(); ++i) { + const vector& alts = (*this)[i]; + for (int j = 0; j < alts.size(); ++j) + dist_(i, i + alts[j].dist2next) = 1; + } + for (int k = 0; k < n; ++k) { + for (int i = 0; i < n; ++i) { + for (int j = 0; j < n; ++j) { + const int dp = dist_(i,k) + dist_(k,j); + if (dist_(i,j) > dp) + dist_(i,j) = dp; + } + } + } + + for (int i = 0; i < n; ++i) { + int latest = kUNREACHABLE; + for (int j = n-1; j >= 0; --j) { + const int c = dist_(i,j); + if (c < kUNREACHABLE) + latest = c; + else + dist_(i,j) = latest; + } + } + // cerr << dist_ << endl; +} + +bool LatticeTools::LooksLikePLF(const string &line) { + return (line.size() > 5) && (line.substr(0,4) == "((('"); +} + +void LatticeTools::ConvertTextToLattice(const string& text, Lattice* pl) { + Lattice& l = *pl; + vector ids; + TD::ConvertSentence(text, &ids); + l.resize(ids.size()); + for (int i = 0; i < l.size(); ++i) + l[i].push_back(LatticeArc(ids[i], 0.0, 1)); + l.is_sentence_ = true; +} + +void LatticeTools::ConvertTextOrPLF(const string& text_or_plf, Lattice* pl) { + if (LooksLikePLF(text_or_plf)) + HypergraphIO::PLFtoLattice(text_or_plf, pl); + else + ConvertTextToLattice(text_or_plf, pl); + pl->ComputeDistances(); +} + diff --git a/decoder/lattice.h b/decoder/lattice.h new file mode 100644 index 00000000..ad4ca50d --- /dev/null +++ b/decoder/lattice.h @@ -0,0 +1,46 @@ +#ifndef __LATTICE_H_ +#define __LATTICE_H_ + +#include +#include +#include "wordid.h" +#include "array2d.h" + +class Lattice; +struct LatticeTools { + static bool LooksLikePLF(const std::string &line); + static void ConvertTextToLattice(const std::string& text, Lattice* pl); + static void ConvertTextOrPLF(const std::string& text_or_plf, Lattice* pl); +}; + +struct LatticeArc { + WordID label; + double cost; + int dist2next; + LatticeArc() : label(), cost(), dist2next() {} + LatticeArc(WordID w, double c, int i) : label(w), cost(c), dist2next(i) {} +}; + +class Lattice : public std::vector > { + friend void LatticeTools::ConvertTextOrPLF(const std::string& text_or_plf, Lattice* pl); + friend void LatticeTools::ConvertTextToLattice(const std::string& text, Lattice* pl); + public: + Lattice() : is_sentence_(false) {} + explicit Lattice(size_t t, const std::vector& v = std::vector()) : + std::vector >(t, v), + is_sentence_(false) {} + int Distance(int from, int to) const { + if (dist_.empty()) + return (to - from); + return dist_(from, to); + } + // TODO this should actually be computed based on the contents + // of the lattice + bool IsSentence() const { return is_sentence_; } + private: + void ComputeDistances(); + Array2D dist_; + bool is_sentence_; +}; + +#endif diff --git a/decoder/lexalign.cc b/decoder/lexalign.cc new file mode 100644 index 00000000..6adb1892 --- /dev/null +++ b/decoder/lexalign.cc @@ -0,0 +1,129 @@ +#include "lexalign.h" + +#include + +#include "filelib.h" +#include "hg.h" +#include "tdict.h" +#include "grammar.h" +#include "sentence_metadata.h" + +using namespace std; + +struct LexicalAlignImpl { + LexicalAlignImpl(const boost::program_options::variables_map& conf) : + use_null(conf.count("lexcrf_use_null") > 0), + kXCAT(TD::Convert("X")*-1), + kNULL(TD::Convert("")), + kBINARY(new TRule("[X] ||| [X,1] [X,2] ||| [1] [2]")), + kGOAL_RULE(new TRule("[Goal] ||| [X,1] ||| [1]")) { + } + + void BuildTrellis(const Lattice& lattice, const SentenceMetadata& smeta, Hypergraph* forest) { + const int e_len = smeta.GetTargetLength(); + assert(e_len > 0); + const Lattice& target = smeta.GetReference(); + const int f_len = lattice.size(); + // hack to tell the feature function system how big the sentence pair is + const int f_start = (use_null ? -1 : 0); + int prev_node_id = -1; + for (int i = 0; i < e_len; ++i) { // for each word in the *target* + const WordID& e_i = target[i][0].label; + Hypergraph::Node* node = forest->AddNode(kXCAT); + const int new_node_id = node->id_; + int num_srcs = 0; + for (int j = f_start; j < f_len; ++j) { // for each word in the source + const WordID src_sym = (j < 0 ? kNULL : lattice[j][0].label); + const TRulePtr& rule = LexRule(src_sym, e_i); + if (rule) { + Hypergraph::Edge* edge = forest->AddEdge(rule, Hypergraph::TailNodeVector()); + edge->i_ = j; + edge->j_ = j+1; + edge->prev_i_ = i; + edge->prev_j_ = i+1; + edge->feature_values_ += edge->rule_->GetFeatureValues(); + ++num_srcs; + forest->ConnectEdgeToHeadNode(edge->id_, new_node_id); + } else { + cerr << TD::Convert(src_sym) << " does not translate to " << TD::Convert(e_i) << endl; + } + } + assert(num_srcs > 0); + if (prev_node_id >= 0) { + const int comb_node_id = forest->AddNode(kXCAT)->id_; + Hypergraph::TailNodeVector tail(2, prev_node_id); + tail[1] = new_node_id; + Hypergraph::Edge* edge = forest->AddEdge(kBINARY, tail); + forest->ConnectEdgeToHeadNode(edge->id_, comb_node_id); + prev_node_id = comb_node_id; + } else { + prev_node_id = new_node_id; + } + } + Hypergraph::TailNodeVector tail(1, forest->nodes_.size() - 1); + Hypergraph::Node* goal = forest->AddNode(TD::Convert("Goal")*-1); + Hypergraph::Edge* hg_edge = forest->AddEdge(kGOAL_RULE, tail); + forest->ConnectEdgeToHeadNode(hg_edge, goal); + } + + inline int LexFeatureId(const WordID& f, const WordID& e) { + map& e2fid = f2e2fid[f]; + map::iterator it = e2fid.find(e); + if (it != e2fid.end()) + return it->second; + int& fid = e2fid[e]; + if (f == 0) { + fid = FD::Convert("Lx:_" + FD::Escape(TD::Convert(e))); + } else { + fid = FD::Convert("Lx:" + FD::Escape(TD::Convert(f)) + "_" + FD::Escape(TD::Convert(e))); + } + return fid; + } + + inline const TRulePtr& LexRule(const WordID& f, const WordID& e) { + const int fid = LexFeatureId(f, e); + if (!fid) { return kNULL_PTR; } + map& e2rule = f2e2rule[f]; + map::iterator it = e2rule.find(e); + if (it != e2rule.end()) + return it->second; + TRulePtr& tr = e2rule[e]; + tr.reset(TRule::CreateLexicalRule(f, e)); + tr->scores_.set_value(fid, 1.0); + return tr; + } + + private: + const bool use_null; + const WordID kXCAT; + const WordID kNULL; + const TRulePtr kBINARY; + const TRulePtr kGOAL_RULE; + const TRulePtr kNULL_PTR; + map > f2e2rule; + map > f2e2fid; + GrammarPtr grammar; +}; + +LexicalAlign::LexicalAlign(const boost::program_options::variables_map& conf) : + pimpl_(new LexicalAlignImpl(conf)) {} + +bool LexicalAlign::TranslateImpl(const string& input, + SentenceMetadata* smeta, + const vector& weights, + Hypergraph* forest) { + Lattice& lattice = smeta->src_lattice_; + LatticeTools::ConvertTextOrPLF(input, &lattice); + if (!lattice.IsSentence()) { + // lexical models make independence assumptions + // that don't work with lattices or conf nets + cerr << "LexicalTrans: cannot deal with lattice source input!\n"; + abort(); + } + smeta->SetSourceLength(lattice.size()); + pimpl_->BuildTrellis(lattice, *smeta, forest); + forest->is_linear_chain_ = true; + forest->Reweight(weights); + return true; +} + diff --git a/decoder/lexalign.h b/decoder/lexalign.h new file mode 100644 index 00000000..7ba4fe64 --- /dev/null +++ b/decoder/lexalign.h @@ -0,0 +1,18 @@ +#ifndef _LEXALIGN_H_ +#define _LEXALIGN_H_ + +#include "translator.h" +#include "lattice.h" + +struct LexicalAlignImpl; +struct LexicalAlign : public Translator { + LexicalAlign(const boost::program_options::variables_map& conf); + bool TranslateImpl(const std::string& input, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* forest); + private: + boost::shared_ptr pimpl_; +}; + +#endif diff --git a/decoder/lextrans.cc b/decoder/lextrans.cc new file mode 100644 index 00000000..3fcd1a7d --- /dev/null +++ b/decoder/lextrans.cc @@ -0,0 +1,119 @@ +#include "lextrans.h" + +#include + +#include "filelib.h" +#include "hg.h" +#include "tdict.h" +#include "grammar.h" +#include "sentence_metadata.h" + +using namespace std; + +struct LexicalTransImpl { + LexicalTransImpl(const boost::program_options::variables_map& conf) : + use_null(conf.count("lexcrf_use_null") > 0), + kXCAT(TD::Convert("X")*-1), + kNULL(TD::Convert("")), + kBINARY(new TRule("[X] ||| [X,1] [X,2] ||| [1] [2]")), + kGOAL_RULE(new TRule("[Goal] ||| [X,1] ||| [1]")) { + vector gfiles = conf["grammar"].as >(); + assert(gfiles.size() == 1); + ReadFile rf(gfiles.front()); + TextGrammar *tg = new TextGrammar; + grammar.reset(tg); + istream* in = rf.stream(); + int lc = 0; + bool flag = false; + while(*in) { + string line; + getline(*in, line); + if (line.empty()) continue; + ++lc; + TRulePtr r(TRule::CreateRulePhrasetable(line)); + tg->AddRule(r); + if (lc % 50000 == 0) { cerr << '.'; flag = true; } + if (lc % 2000000 == 0) { cerr << " [" << lc << "]\n"; flag = false; } + } + if (flag) cerr << endl; + cerr << "Loaded " << lc << " rules\n"; + } + + void BuildTrellis(const Lattice& lattice, const SentenceMetadata& smeta, Hypergraph* forest) { + const int e_len = smeta.GetTargetLength(); + assert(e_len > 0); + const int f_len = lattice.size(); + // hack to tell the feature function system how big the sentence pair is + const int f_start = (use_null ? -1 : 0); + int prev_node_id = -1; + for (int i = 0; i < e_len; ++i) { // for each word in the *target* + Hypergraph::Node* node = forest->AddNode(kXCAT); + const int new_node_id = node->id_; + for (int j = f_start; j < f_len; ++j) { // for each word in the source + const WordID src_sym = (j < 0 ? kNULL : lattice[j][0].label); + const GrammarIter* gi = grammar->GetRoot()->Extend(src_sym); + if (!gi) { + cerr << "No translations found for: " << TD::Convert(src_sym) << "\n"; + abort(); + } + const RuleBin* rb = gi->GetRules(); + assert(rb); + for (int k = 0; k < rb->GetNumRules(); ++k) { + TRulePtr rule = rb->GetIthRule(k); + Hypergraph::Edge* edge = forest->AddEdge(rule, Hypergraph::TailNodeVector()); + edge->i_ = j; + edge->j_ = j+1; + edge->prev_i_ = i; + edge->prev_j_ = i+1; + edge->feature_values_ += edge->rule_->GetFeatureValues(); + forest->ConnectEdgeToHeadNode(edge->id_, new_node_id); + } + } + if (prev_node_id >= 0) { + const int comb_node_id = forest->AddNode(kXCAT)->id_; + Hypergraph::TailNodeVector tail(2, prev_node_id); + tail[1] = new_node_id; + Hypergraph::Edge* edge = forest->AddEdge(kBINARY, tail); + forest->ConnectEdgeToHeadNode(edge->id_, comb_node_id); + prev_node_id = comb_node_id; + } else { + prev_node_id = new_node_id; + } + } + Hypergraph::TailNodeVector tail(1, forest->nodes_.size() - 1); + Hypergraph::Node* goal = forest->AddNode(TD::Convert("Goal")*-1); + Hypergraph::Edge* hg_edge = forest->AddEdge(kGOAL_RULE, tail); + forest->ConnectEdgeToHeadNode(hg_edge, goal); + } + + private: + const bool use_null; + const WordID kXCAT; + const WordID kNULL; + const TRulePtr kBINARY; + const TRulePtr kGOAL_RULE; + GrammarPtr grammar; +}; + +LexicalTrans::LexicalTrans(const boost::program_options::variables_map& conf) : + pimpl_(new LexicalTransImpl(conf)) {} + +bool LexicalTrans::TranslateImpl(const string& input, + SentenceMetadata* smeta, + const vector& weights, + Hypergraph* forest) { + Lattice& lattice = smeta->src_lattice_; + LatticeTools::ConvertTextOrPLF(input, &lattice); + if (!lattice.IsSentence()) { + // lexical models make independence assumptions + // that don't work with lattices or conf nets + cerr << "LexicalTrans: cannot deal with lattice source input!\n"; + abort(); + } + smeta->SetSourceLength(lattice.size()); + pimpl_->BuildTrellis(lattice, *smeta, forest); + forest->is_linear_chain_ = true; + forest->Reweight(weights); + return true; +} + diff --git a/decoder/lextrans.h b/decoder/lextrans.h new file mode 100644 index 00000000..2d51e7c0 --- /dev/null +++ b/decoder/lextrans.h @@ -0,0 +1,18 @@ +#ifndef _LEXTrans_H_ +#define _LEXTrans_H_ + +#include "translator.h" +#include "lattice.h" + +struct LexicalTransImpl; +struct LexicalTrans : public Translator { + LexicalTrans(const boost::program_options::variables_map& conf); + bool TranslateImpl(const std::string& input, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* forest); + private: + boost::shared_ptr pimpl_; +}; + +#endif diff --git a/decoder/logval.h b/decoder/logval.h new file mode 100644 index 00000000..7099b9be --- /dev/null +++ b/decoder/logval.h @@ -0,0 +1,157 @@ +#ifndef LOGVAL_H_ +#define LOGVAL_H_ + +#include +#include +#include +#include + +template +class LogVal { + public: + LogVal() : s_(), v_(-std::numeric_limits::infinity()) {} + explicit LogVal(double x) : s_(std::signbit(x)), v_(s_ ? std::log(-x) : std::log(x)) {} + static LogVal One() { return LogVal(1); } + static LogVal Zero() { return LogVal(); } + + void logeq(const T& v) { s_ = false; v_ = v; } + + LogVal& operator+=(const LogVal& a) { + if (a.v_ == -std::numeric_limits::infinity()) return *this; + if (a.s_ == s_) { + if (a.v_ < v_) { + v_ = v_ + log1p(std::exp(a.v_ - v_)); + } else { + v_ = a.v_ + log1p(std::exp(v_ - a.v_)); + } + } else { + if (a.v_ < v_) { + v_ = v_ + log1p(-std::exp(a.v_ - v_)); + } else { + v_ = a.v_ + log1p(-std::exp(v_ - a.v_)); + s_ = !s_; + } + } + return *this; + } + + LogVal& operator*=(const LogVal& a) { + s_ = (s_ != a.s_); + v_ += a.v_; + return *this; + } + + LogVal& operator/=(const LogVal& a) { + s_ = (s_ != a.s_); + v_ -= a.v_; + return *this; + } + + LogVal& operator-=(const LogVal& a) { + LogVal b = a; + b.invert(); + return *this += b; + } + + LogVal& poweq(const T& power) { + if (s_) { + std::cerr << "poweq(T) not implemented when s_ is true\n"; + std::abort(); + } else { + v_ *= power; + } + return *this; + } + + void invert() { s_ = !s_; } + + LogVal pow(const T& power) const { + LogVal res = *this; + res.poweq(power); + return res; + } + + operator T() const { + if (s_) return -std::exp(v_); else return std::exp(v_); + } + + bool s_; + T v_; +}; + +template +LogVal operator+(const LogVal& o1, const LogVal& o2) { + LogVal res(o1); + res += o2; + return res; +} + +template +LogVal operator*(const LogVal& o1, const LogVal& o2) { + LogVal res(o1); + res *= o2; + return res; +} + +template +LogVal operator/(const LogVal& o1, const LogVal& o2) { + LogVal res(o1); + res /= o2; + return res; +} + +template +LogVal operator-(const LogVal& o1, const LogVal& o2) { + LogVal res(o1); + res -= o2; + return res; +} + +template +T log(const LogVal& o) { + if (o.s_) return log(-1.0); + return o.v_; +} + +template +LogVal pow(const LogVal& b, const T& e) { + return b.pow(e); +} + +template +bool operator<(const LogVal& lhs, const LogVal& rhs) { + if (lhs.s_ == rhs.s_) { + return (lhs.v_ < rhs.v_); + } else { + return lhs.s_ > rhs.s_; + } +} + +#if 0 +template +bool operator<=(const LogVal& lhs, const LogVal& rhs) { + return (lhs.v_ <= rhs.v_); +} + +template +bool operator>(const LogVal& lhs, const LogVal& rhs) { + return (lhs.v_ > rhs.v_); +} + +template +bool operator>=(const LogVal& lhs, const LogVal& rhs) { + return (lhs.v_ >= rhs.v_); +} +#endif + +template +bool operator==(const LogVal& lhs, const LogVal& rhs) { + return (lhs.v_ == rhs.v_) && (lhs.s_ == rhs.s_); +} + +template +bool operator!=(const LogVal& lhs, const LogVal& rhs) { + return !(lhs == rhs); +} + +#endif diff --git a/decoder/logval_test.cc b/decoder/logval_test.cc new file mode 100644 index 00000000..1a23177d --- /dev/null +++ b/decoder/logval_test.cc @@ -0,0 +1,73 @@ +#include "logval.h" + +#include +#include + +class LogValTest : public testing::Test { + protected: + virtual void SetUp() { } + virtual void TearDown() { } +}; + +using namespace std; + +TEST_F(LogValTest,Order) { + LogVal a(-0.3); + LogVal b(0.3); + LogVal c(2.4); + EXPECT_LT(a,b); + EXPECT_LT(b,c); + EXPECT_LT(a,c); + EXPECT_FALSE(b < a); + EXPECT_FALSE(c < a); + EXPECT_FALSE(c < b); + EXPECT_FALSE(c < c); + EXPECT_FALSE(b < b); + EXPECT_FALSE(a < a); +} + +TEST_F(LogValTest,Invert) { + LogVal x(-2.4); + LogVal y(2.4); + y.invert(); + EXPECT_FLOAT_EQ(x,y); +} + +TEST_F(LogValTest,Minus) { + LogVal x(12); + LogVal y(2); + LogVal z1 = x - y; + LogVal z2 = x; + z2 -= y; + EXPECT_FLOAT_EQ(z1, z2); + EXPECT_FLOAT_EQ(z1, 10.0); + EXPECT_FLOAT_EQ(y - x, -10.0); +} + +TEST_F(LogValTest,TestOps) { + LogVal x(-12.12); + LogVal y(x); + cerr << x << endl; + cerr << (x*y) << endl; + cerr << (x*y + x) << endl; + cerr << (x + x*y) << endl; + cerr << log1p(-0.5) << endl; + LogVal aa(0.2); + LogVal bb(-0.3); + cerr << (aa + bb) << endl; + cerr << (bb + aa) << endl; + EXPECT_FLOAT_EQ((aa + bb), (bb + aa)); + EXPECT_FLOAT_EQ((aa + bb), -0.1); +} + +TEST_F(LogValTest,TestSizes) { + cerr << sizeof(LogVal) << endl; + cerr << sizeof(LogVal) << endl; + cerr << sizeof(void*) << endl; +} + +int main(int argc, char** argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} + diff --git a/decoder/maxtrans_blunsom.cc b/decoder/maxtrans_blunsom.cc new file mode 100644 index 00000000..34e175db --- /dev/null +++ b/decoder/maxtrans_blunsom.cc @@ -0,0 +1,287 @@ +#include "apply_models.h" + +#include +#include +#include +#include + +#include +#include + +#include "tdict.h" +#include "hg.h" +#include "ff.h" + +using boost::tuple; +using namespace std; +using namespace std::tr1; + +namespace Hack { + +struct Candidate; +typedef SmallVector JVector; +typedef vector CandidateHeap; +typedef vector CandidateList; + +// life cycle: candidates are created, placed on the heap +// and retrieved by their estimated cost, when they're +// retrieved, they're incorporated into the +LM hypergraph +// where they also know the head node index they are +// attached to. After they are added to the +LM hypergraph +// inside_prob_ and est_prob_ fields may be updated as better +// derivations are found (this happens since the successor's +// of derivation d may have a better score- they are +// explored lazily). However, the updates don't happen +// when a candidate is in the heap so maintaining the heap +// property is not an issue. +struct Candidate { + int node_index_; // -1 until incorporated + // into the +LM forest + const Hypergraph::Edge* in_edge_; // in -LM forest + Hypergraph::Edge out_edge_; + vector state_; + const JVector j_; + prob_t inside_prob_; // these are fixed until the cand + // is popped, then they may be updated + prob_t est_prob_; + + Candidate(const Hypergraph::Edge& e, + const JVector& j, + const vector& D, + bool is_goal) : + node_index_(-1), + in_edge_(&e), + j_(j) { + InitializeCandidate(D, is_goal); + } + + // used to query uniqueness + Candidate(const Hypergraph::Edge& e, + const JVector& j) : in_edge_(&e), j_(j) {} + + bool IsIncorporatedIntoHypergraph() const { + return node_index_ >= 0; + } + + void InitializeCandidate(const vector >& D, + const bool is_goal) { + const Hypergraph::Edge& in_edge = *in_edge_; + out_edge_.rule_ = in_edge.rule_; + out_edge_.feature_values_ = in_edge.feature_values_; + Hypergraph::TailNodeVector& tail = out_edge_.tail_nodes_; + tail.resize(j_.size()); + prob_t p = prob_t::One(); + // cerr << "\nEstimating application of " << in_edge.rule_->AsString() << endl; + vector* > ants(tail.size()); + for (int i = 0; i < tail.size(); ++i) { + const Candidate& ant = *D[in_edge.tail_nodes_[i]][j_[i]]; + ants[i] = &ant.state_; + assert(ant.IsIncorporatedIntoHypergraph()); + tail[i] = ant.node_index_; + p *= ant.inside_prob_; + } + prob_t edge_estimate = prob_t::One(); + if (is_goal) { + assert(tail.size() == 1); + out_edge_.edge_prob_ = in_edge.edge_prob_; + } else { + in_edge.rule_->ESubstitute(ants, &state_); + out_edge_.edge_prob_ = in_edge.edge_prob_; + } + inside_prob_ = out_edge_.edge_prob_ * p; + est_prob_ = inside_prob_ * edge_estimate; + } +}; + +ostream& operator<<(ostream& os, const Candidate& cand) { + os << "CAND["; + if (!cand.IsIncorporatedIntoHypergraph()) { os << "PENDING "; } + else { os << "+LM_node=" << cand.node_index_; } + os << " edge=" << cand.in_edge_->id_; + os << " j=<"; + for (int i = 0; i < cand.j_.size(); ++i) + os << (i==0 ? "" : " ") << cand.j_[i]; + os << "> vit=" << log(cand.inside_prob_); + os << " est=" << log(cand.est_prob_); + return os << ']'; +} + +struct HeapCandCompare { + bool operator()(const Candidate* l, const Candidate* r) const { + return l->est_prob_ < r->est_prob_; + } +}; + +struct EstProbSorter { + bool operator()(const Candidate* l, const Candidate* r) const { + return l->est_prob_ > r->est_prob_; + } +}; + +// the same candidate can be added multiple times if +// j is multidimensional (if you're going NW in Manhattan, you +// can first go north, then west, or you can go west then north) +// this is a hash function on the relevant variables from +// Candidate to enforce this. +struct CandidateUniquenessHash { + size_t operator()(const Candidate* c) const { + size_t x = 5381; + x = ((x << 5) + x) ^ c->in_edge_->id_; + for (int i = 0; i < c->j_.size(); ++i) + x = ((x << 5) + x) ^ c->j_[i]; + return x; + } +}; + +struct CandidateUniquenessEquals { + bool operator()(const Candidate* a, const Candidate* b) const { + return (a->in_edge_ == b->in_edge_) && (a->j_ == b->j_); + } +}; + +typedef unordered_set UniqueCandidateSet; +typedef unordered_map, Candidate*, boost::hash > > State2Node; + +class MaxTransBeamSearch { + +public: + MaxTransBeamSearch(const Hypergraph& i, int pop_limit, Hypergraph* o) : + in(i), + out(*o), + D(in.nodes_.size()), + pop_limit_(pop_limit) { + cerr << " Finding max translation (cube pruning, pop_limit = " << pop_limit_ << ')' << endl; + } + + void Apply() { + int num_nodes = in.nodes_.size(); + int goal_id = num_nodes - 1; + int pregoal = goal_id - 1; + assert(in.nodes_[pregoal].out_edges_.size() == 1); + cerr << " "; + for (int i = 0; i < in.nodes_.size(); ++i) { + cerr << '.'; + KBest(i, i == goal_id); + } + cerr << endl; + int best_node = D[goal_id].front()->in_edge_->tail_nodes_.front(); + Candidate& best = *D[best_node].front(); + cerr << " Best path: " << log(best.inside_prob_) + << "\t" << log(best.est_prob_) << endl; + cout << TD::GetString(D[best_node].front()->state_) << endl; + FreeAll(); + } + + private: + void FreeAll() { + for (int i = 0; i < D.size(); ++i) { + CandidateList& D_i = D[i]; + for (int j = 0; j < D_i.size(); ++j) + delete D_i[j]; + } + D.clear(); + } + + void IncorporateIntoPlusLMForest(Candidate* item, State2Node* s2n, CandidateList* freelist) { + Hypergraph::Edge* new_edge = out.AddEdge(item->out_edge_.rule_, item->out_edge_.tail_nodes_); + new_edge->feature_values_ = item->out_edge_.feature_values_; + new_edge->edge_prob_ = item->out_edge_.edge_prob_; + Candidate*& o_item = (*s2n)[item->state_]; + if (!o_item) o_item = item; + + int& node_id = o_item->node_index_; + if (node_id < 0) { + Hypergraph::Node* new_node = out.AddNode(in.nodes_[item->in_edge_->head_node_].cat_); + node_id = new_node->id_; + } + Hypergraph::Node* node = &out.nodes_[node_id]; + out.ConnectEdgeToHeadNode(new_edge, node); + + if (item != o_item) { + assert(o_item->state_ == item->state_); // sanity check! + o_item->est_prob_ += item->est_prob_; + o_item->inside_prob_ += item->inside_prob_; + freelist->push_back(item); + } + } + + void KBest(const int vert_index, const bool is_goal) { + // cerr << "KBest(" << vert_index << ")\n"; + CandidateList& D_v = D[vert_index]; + assert(D_v.empty()); + const Hypergraph::Node& v = in.nodes_[vert_index]; + // cerr << " has " << v.in_edges_.size() << " in-coming edges\n"; + const vector& in_edges = v.in_edges_; + CandidateHeap cand; + CandidateList freelist; + cand.reserve(in_edges.size()); + UniqueCandidateSet unique_cands; + for (int i = 0; i < in_edges.size(); ++i) { + const Hypergraph::Edge& edge = in.edges_[in_edges[i]]; + const JVector j(edge.tail_nodes_.size(), 0); + cand.push_back(new Candidate(edge, j, D, is_goal)); + assert(unique_cands.insert(cand.back()).second); // these should all be unique! + } +// cerr << " making heap of " << cand.size() << " candidates\n"; + make_heap(cand.begin(), cand.end(), HeapCandCompare()); + State2Node state2node; // "buf" in Figure 2 + int pops = 0; + while(!cand.empty() && pops < pop_limit_) { + pop_heap(cand.begin(), cand.end(), HeapCandCompare()); + Candidate* item = cand.back(); + cand.pop_back(); + // cerr << "POPPED: " << *item << endl; + PushSucc(*item, is_goal, &cand, &unique_cands); + IncorporateIntoPlusLMForest(item, &state2node, &freelist); + ++pops; + } + D_v.resize(state2node.size()); + int c = 0; + for (State2Node::iterator i = state2node.begin(); i != state2node.end(); ++i) + D_v[c++] = i->second; + sort(D_v.begin(), D_v.end(), EstProbSorter()); + // cerr << " expanded to " << D_v.size() << " nodes\n"; + + for (int i = 0; i < cand.size(); ++i) + delete cand[i]; + // freelist is necessary since even after an item merged, it still stays in + // the unique set so it can't be deleted til now + for (int i = 0; i < freelist.size(); ++i) + delete freelist[i]; + } + + void PushSucc(const Candidate& item, const bool is_goal, CandidateHeap* pcand, UniqueCandidateSet* cs) { + CandidateHeap& cand = *pcand; + for (int i = 0; i < item.j_.size(); ++i) { + JVector j = item.j_; + ++j[i]; + if (j[i] < D[item.in_edge_->tail_nodes_[i]].size()) { + Candidate query_unique(*item.in_edge_, j); + if (cs->count(&query_unique) == 0) { + Candidate* new_cand = new Candidate(*item.in_edge_, j, D, is_goal); + cand.push_back(new_cand); + push_heap(cand.begin(), cand.end(), HeapCandCompare()); + assert(cs->insert(new_cand).second); // insert into uniqueness set, sanity check + } + } + } + } + + const Hypergraph& in; + Hypergraph& out; + + vector D; // maps nodes in in-HG to the + // equivalent nodes (many due to state + // splits) in the out-HG. + const int pop_limit_; +}; + +// each node in the graph has one of these, it keeps track of +void MaxTrans(const Hypergraph& in, + int beam_size) { + Hypergraph out; + MaxTransBeamSearch ma(in, beam_size, &out); + ma.Apply(); +} + +} diff --git a/decoder/parser_test.cc b/decoder/parser_test.cc new file mode 100644 index 00000000..da1fbd89 --- /dev/null +++ b/decoder/parser_test.cc @@ -0,0 +1,35 @@ +#include +#include +#include +#include +#include +#include "hg.h" +#include "trule.h" +#include "bottom_up_parser.h" +#include "tdict.h" + +using namespace std; + +class ChartTest : public testing::Test { + protected: + virtual void SetUp() { } + virtual void TearDown() { } +}; + +TEST_F(ChartTest,LanguageModel) { + LatticeArc a(TD::Convert("ein"), 0.0, 1); + LatticeArc b(TD::Convert("haus"), 0.0, 1); + Lattice lattice(2); + lattice[0].push_back(a); + lattice[1].push_back(b); + Hypergraph forest; + GrammarPtr g(new TextGrammar); + vector grammars(1, g); + ExhaustiveBottomUpParser parser("PHRASE", grammars); + parser.Parse(lattice, &forest); +} + +int main(int argc, char **argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} diff --git a/decoder/phrasebased_translator.cc b/decoder/phrasebased_translator.cc new file mode 100644 index 00000000..726b3f9a --- /dev/null +++ b/decoder/phrasebased_translator.cc @@ -0,0 +1,206 @@ +#include "phrasebased_translator.h" + +#include +#include +#include +#include + +#include +#include + +#include "sentence_metadata.h" +#include "tdict.h" +#include "hg.h" +#include "filelib.h" +#include "lattice.h" +#include "phrasetable_fst.h" +#include "array2d.h" + +using namespace std; +using namespace std::tr1; +using namespace boost::tuples; + +struct Coverage : public vector { + explicit Coverage(int n, bool v = false) : vector(n, v), first_gap() {} + void Cover(int i, int j) { + vector::iterator it = this->begin() + i; + vector::iterator end = this->begin() + j; + while (it != end) + *it++ = true; + if (first_gap == i) { + first_gap = j; + it = end; + while (*it && it != this->end()) { + ++it; + ++first_gap; + } + } + } + bool Collides(int i, int j) const { + vector::const_iterator it = this->begin() + i; + vector::const_iterator end = this->begin() + j; + while (it != end) + if (*it++) return true; + return false; + } + int GetFirstGap() const { return first_gap; } + private: + int first_gap; +}; +struct CoverageHash { + size_t operator()(const Coverage& cov) const { + return hasher_(static_cast&>(cov)); + } + private: + boost::hash > hasher_; +}; +ostream& operator<<(ostream& os, const Coverage& cov) { + os << '['; + for (int i = 0; i < cov.size(); ++i) + os << (cov[i] ? '*' : '.'); + return os << " gap=" << cov.GetFirstGap() << ']'; +} + +typedef unordered_map CoverageNodeMap; +typedef unordered_set UniqueCoverageSet; + +struct PhraseBasedTranslatorImpl { + PhraseBasedTranslatorImpl(const boost::program_options::variables_map& conf) : + add_pass_through_rules(conf.count("add_pass_through_rules")), + max_distortion(conf["pb_max_distortion"].as()), + kSOURCE_RULE(new TRule("[X] ||| [X,1] ||| [X,1]", true)), + kCONCAT_RULE(new TRule("[X] ||| [X,1] [X,2] ||| [X,1] [X,2]", true)), + kNT_TYPE(TD::Convert("X") * -1) { + assert(max_distortion >= 0); + vector gfiles = conf["grammar"].as >(); + assert(gfiles.size() == 1); + cerr << "Reading phrasetable from " << gfiles.front() << endl; + ReadFile in(gfiles.front()); + fst.reset(LoadTextPhrasetable(in.stream())); + } + + struct State { + State(const Coverage& c, int _i, int _j, const FSTNode* q) : + coverage(c), i(_i), j(_j), fst(q) {} + Coverage coverage; + int i; + int j; + const FSTNode* fst; + }; + + // we keep track of unique coverages that have been extended since it's + // possible to "extend" the same coverage twice, e.g. translate "a b c" + // with phrases "a" "b" "a b" and "c". There are two ways to cover "a b" + void EnqueuePossibleContinuations(const Coverage& coverage, queue* q, UniqueCoverageSet* ucs) { + if (ucs->insert(coverage).second) { + const int gap = coverage.GetFirstGap(); + const int end = min(static_cast(coverage.size()), gap + max_distortion + 1); + for (int i = gap; i < end; ++i) + if (!coverage[i]) q->push(State(coverage, i, i, fst.get())); + } + } + + bool Translate(const std::string& input, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* minus_lm_forest) { + Lattice lattice; + LatticeTools::ConvertTextOrPLF(input, &lattice); + smeta->SetSourceLength(lattice.size()); + size_t est_nodes = lattice.size() * lattice.size() * (1 << max_distortion); + minus_lm_forest->ReserveNodes(est_nodes, est_nodes * 100); + if (add_pass_through_rules) { + SparseVector feats; + feats.set_value(FD::Convert("PassThrough"), 1); + for (int i = 0; i < lattice.size(); ++i) { + const vector& arcs = lattice[i]; + for (int j = 0; j < arcs.size(); ++j) { + fst->AddPassThroughTranslation(arcs[j].label, feats); + // TODO handle lattice edge features + } + } + } + CoverageNodeMap c; + queue q; + UniqueCoverageSet ucs; + const Coverage empty_cov(lattice.size(), false); + const Coverage goal_cov(lattice.size(), true); + EnqueuePossibleContinuations(empty_cov, &q, &ucs); + c[empty_cov] = 0; // have to handle the left edge specially + while(!q.empty()) { + const State s = q.front(); + q.pop(); + // cerr << "(" << s.i << "," << s.j << " ptr=" << s.fst << ") cov=" << s.coverage << endl; + const vector& arcs = lattice[s.j]; + if (s.fst->HasData()) { + Coverage new_cov = s.coverage; + new_cov.Cover(s.i, s.j); + EnqueuePossibleContinuations(new_cov, &q, &ucs); + const vector& phrases = s.fst->GetTranslations()->GetRules(); + const int phrase_head_index = minus_lm_forest->AddNode(kNT_TYPE)->id_; + for (int i = 0; i < phrases.size(); ++i) { + Hypergraph::Edge* edge = minus_lm_forest->AddEdge(phrases[i], Hypergraph::TailNodeVector()); + edge->feature_values_ = edge->rule_->scores_; + minus_lm_forest->ConnectEdgeToHeadNode(edge->id_, phrase_head_index); + } + CoverageNodeMap::iterator cit = c.find(s.coverage); + assert(cit != c.end()); + const int tail_node_plus1 = cit->second; + if (tail_node_plus1 == 0) { // left edge + c[new_cov] = phrase_head_index + 1; + } else { // not left edge + int& head_node_plus1 = c[new_cov]; + if (!head_node_plus1) + head_node_plus1 = minus_lm_forest->AddNode(kNT_TYPE)->id_ + 1; + Hypergraph::TailNodeVector tail(2, tail_node_plus1 - 1); + tail[1] = phrase_head_index; + const int concat_edge = minus_lm_forest->AddEdge(kCONCAT_RULE, tail)->id_; + minus_lm_forest->ConnectEdgeToHeadNode(concat_edge, head_node_plus1 - 1); + } + } + if (s.j == lattice.size()) continue; + for (int l = 0; l < arcs.size(); ++l) { + const LatticeArc& arc = arcs[l]; + + const FSTNode* next_fst_state = s.fst->Extend(arc.label); + const int next_j = s.j + arc.dist2next; + if (next_fst_state && + !s.coverage.Collides(s.i, next_j)) { + q.push(State(s.coverage, s.i, next_j, next_fst_state)); + } + } + } + if (add_pass_through_rules) + fst->ClearPassThroughTranslations(); + int pregoal_plus1 = c[goal_cov]; + if (pregoal_plus1 > 0) { + TRulePtr kGOAL_RULE(new TRule("[Goal] ||| [X,1] ||| [X,1]")); + int goal = minus_lm_forest->AddNode(TD::Convert("Goal") * -1)->id_; + int gedge = minus_lm_forest->AddEdge(kGOAL_RULE, Hypergraph::TailNodeVector(1, pregoal_plus1 - 1))->id_; + minus_lm_forest->ConnectEdgeToHeadNode(gedge, goal); + // they are almost topo, but not quite always + minus_lm_forest->TopologicallySortNodesAndEdges(goal); + minus_lm_forest->Reweight(weights); + return true; + } else { + return false; // composition failed + } + } + + const bool add_pass_through_rules; + const int max_distortion; + TRulePtr kSOURCE_RULE; + const TRulePtr kCONCAT_RULE; + const WordID kNT_TYPE; + boost::shared_ptr fst; +}; + +PhraseBasedTranslator::PhraseBasedTranslator(const boost::program_options::variables_map& conf) : + pimpl_(new PhraseBasedTranslatorImpl(conf)) {} + +bool PhraseBasedTranslator::TranslateImpl(const std::string& input, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* minus_lm_forest) { + return pimpl_->Translate(input, smeta, weights, minus_lm_forest); +} diff --git a/decoder/phrasebased_translator.h b/decoder/phrasebased_translator.h new file mode 100644 index 00000000..e5e3f8a2 --- /dev/null +++ b/decoder/phrasebased_translator.h @@ -0,0 +1,18 @@ +#ifndef _PHRASEBASED_TRANSLATOR_H_ +#define _PHRASEBASED_TRANSLATOR_H_ + +#include "translator.h" + +class PhraseBasedTranslatorImpl; +class PhraseBasedTranslator : public Translator { + public: + PhraseBasedTranslator(const boost::program_options::variables_map& conf); + bool TranslateImpl(const std::string& input, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* minus_lm_forest); + private: + boost::shared_ptr pimpl_; +}; + +#endif diff --git a/decoder/phrasetable_fst.cc b/decoder/phrasetable_fst.cc new file mode 100644 index 00000000..f421e941 --- /dev/null +++ b/decoder/phrasetable_fst.cc @@ -0,0 +1,141 @@ +#include "phrasetable_fst.h" + +#include +#include +#include + +#include + +#include "filelib.h" +#include "tdict.h" + +using boost::shared_ptr; +using namespace std; + +TargetPhraseSet::~TargetPhraseSet() {} +FSTNode::~FSTNode() {} + +class TextTargetPhraseSet : public TargetPhraseSet { + public: + void AddRule(TRulePtr rule) { + rules_.push_back(rule); + } + const vector& GetRules() const { + return rules_; + } + + private: + // all rules must have arity 0 + vector rules_; +}; + +class TextFSTNode : public FSTNode { + public: + const TargetPhraseSet* GetTranslations() const { return data.get(); } + bool HasData() const { return (bool)data; } + bool HasOutgoingNonEpsilonEdges() const { return !ptr.empty(); } + const FSTNode* Extend(const WordID& t) const { + map::const_iterator it = ptr.find(t); + if (it == ptr.end()) return NULL; + return &it->second; + } + + void AddPhrase(const string& phrase); + + void AddPassThroughTranslation(const WordID& w, const SparseVector& feats); + void ClearPassThroughTranslations(); + private: + vector passthroughs; + shared_ptr data; + map ptr; +}; + +#ifdef DEBUG_CHART_PARSER +static string TrimRule(const string& r) { + size_t start = r.find(" |||") + 5; + size_t end = r.rfind(" |||"); + return r.substr(start, end - start); +} +#endif + +void TextFSTNode::AddPhrase(const string& phrase) { + vector words; + TRulePtr rule(TRule::CreateRulePhrasetable(phrase)); + if (!rule) { + static int err = 0; + ++err; + if (err > 2) { cerr << "TOO MANY PHRASETABLE ERRORS\n"; exit(1); } + return; + } + + TextFSTNode* fsa = this; + for (int i = 0; i < rule->FLength(); ++i) + fsa = &fsa->ptr[rule->f_[i]]; + + if (!fsa->data) + fsa->data.reset(new TextTargetPhraseSet); + static_cast(fsa->data.get())->AddRule(rule); +} + +void TextFSTNode::AddPassThroughTranslation(const WordID& w, const SparseVector& feats) { + TextFSTNode* next = &ptr[w]; + // current, rules are only added if the symbol is completely missing as a + // word starting the phrase. As a result, it is possible that some sentences + // won't parse. If this becomes a problem, fix it here. + if (!next->data) { + TextTargetPhraseSet* tps = new TextTargetPhraseSet; + next->data.reset(tps); + TRule* rule = new TRule; + rule->e_.resize(1, w); + rule->f_.resize(1, w); + rule->lhs_ = TD::Convert("___PHRASE") * -1; + rule->scores_ = feats; + rule->arity_ = 0; + tps->AddRule(TRulePtr(rule)); + passthroughs.push_back(w); + } +} + +void TextFSTNode::ClearPassThroughTranslations() { + for (int i = 0; i < passthroughs.size(); ++i) + ptr.erase(passthroughs[i]); + passthroughs.clear(); +} + +static void AddPhrasetableToFST(istream* in, TextFSTNode* fst) { + int lc = 0; + bool flag = false; + while(*in) { + string line; + getline(*in, line); + if (line.empty()) continue; + ++lc; + fst->AddPhrase(line); + if (lc % 10000 == 0) { flag = true; cerr << '.' << flush; } + if (lc % 500000 == 0) { flag = false; cerr << " [" << lc << ']' << endl << flush; } + } + if (flag) cerr << endl; + cerr << "Loaded " << lc << " source phrases\n"; +} + +FSTNode* LoadTextPhrasetable(istream* in) { + TextFSTNode *fst = new TextFSTNode; + AddPhrasetableToFST(in, fst); + return fst; +} + +FSTNode* LoadTextPhrasetable(const vector& filenames) { + TextFSTNode* fst = new TextFSTNode; + for (int i = 0; i < filenames.size(); ++i) { + ReadFile rf(filenames[i]); + cerr << "Reading phrase from " << filenames[i] << endl; + AddPhrasetableToFST(rf.stream(), fst); + } + return fst; +} + +FSTNode* LoadBinaryPhrasetable(const string& fname_prefix) { + (void) fname_prefix; + assert(!"not implemented yet"); +} + diff --git a/decoder/phrasetable_fst.h b/decoder/phrasetable_fst.h new file mode 100644 index 00000000..477de1f7 --- /dev/null +++ b/decoder/phrasetable_fst.h @@ -0,0 +1,34 @@ +#ifndef _PHRASETABLE_FST_H_ +#define _PHRASETABLE_FST_H_ + +#include +#include + +#include "sparse_vector.h" +#include "trule.h" + +class TargetPhraseSet { + public: + virtual ~TargetPhraseSet(); + virtual const std::vector& GetRules() const = 0; +}; + +class FSTNode { + public: + virtual ~FSTNode(); + virtual const TargetPhraseSet* GetTranslations() const = 0; + virtual bool HasData() const = 0; + virtual bool HasOutgoingNonEpsilonEdges() const = 0; + virtual const FSTNode* Extend(const WordID& t) const = 0; + + // these should only be called on q_0: + virtual void AddPassThroughTranslation(const WordID& w, const SparseVector& feats) = 0; + virtual void ClearPassThroughTranslations() = 0; +}; + +// attn caller: you own the memory +FSTNode* LoadTextPhrasetable(const std::vector& filenames); +FSTNode* LoadTextPhrasetable(std::istream* in); +FSTNode* LoadBinaryPhrasetable(const std::string& fname_prefix); + +#endif diff --git a/decoder/prob.h b/decoder/prob.h new file mode 100644 index 00000000..bc297870 --- /dev/null +++ b/decoder/prob.h @@ -0,0 +1,8 @@ +#ifndef _PROB_H_ +#define _PROB_H_ + +#include "logval.h" + +typedef LogVal prob_t; + +#endif diff --git a/decoder/rule_lexer.h b/decoder/rule_lexer.h new file mode 100644 index 00000000..e5db4018 --- /dev/null +++ b/decoder/rule_lexer.h @@ -0,0 +1,13 @@ +#ifndef _RULE_LEXER_H_ +#define _RULE_LEXER_H_ + +#include + +#include "trule.h" + +struct RuleLexer { + typedef void (*RuleCallback)(const TRulePtr& new_rule, void* extra); + static void ReadRules(std::istream* in, RuleCallback func, void* extra); +}; + +#endif diff --git a/decoder/rule_lexer.l b/decoder/rule_lexer.l new file mode 100644 index 00000000..ff8f10b0 --- /dev/null +++ b/decoder/rule_lexer.l @@ -0,0 +1,269 @@ +%{ +#include "rule_lexer.h" + +#include +#include +#include +#include +#include +#include "tdict.h" +#include "fdict.h" +#include "trule.h" + +int lex_line = 0; +std::istream* scfglex_stream = NULL; +RuleLexer::RuleCallback rule_callback = NULL; +void* rule_callback_extra = NULL; +std::vector scfglex_phrase_fnames; + +#undef YY_INPUT +#define YY_INPUT(buf, result, max_size) (result = scfglex_stream->read(buf, max_size).gcount()) + +#define YY_SKIP_YYWRAP 1 +int num_rules = 0; +int yywrap() { return 1; } +bool fl = true; +#define MAX_TOKEN_SIZE 255 +std::string scfglex_tmp_token(MAX_TOKEN_SIZE, '\0'); + +#define MAX_RULE_SIZE 48 +WordID scfglex_src_rhs[MAX_RULE_SIZE]; +WordID scfglex_trg_rhs[MAX_RULE_SIZE]; +int scfglex_src_rhs_size; +int scfglex_trg_rhs_size; +WordID scfglex_lhs; +int scfglex_src_arity; +int scfglex_trg_arity; + +#define MAX_FEATS 20 +int scfglex_feat_ids[MAX_FEATS]; +double scfglex_feat_vals[MAX_FEATS]; +int scfglex_num_feats; + +#define MAX_ARITY 20 +int scfglex_nt_sanity[MAX_ARITY]; +int scfglex_src_nts[MAX_ARITY]; +float scfglex_nt_size_means[MAX_ARITY]; +float scfglex_nt_size_vars[MAX_ARITY]; + + +void sanity_check_trg_symbol(WordID nt, int index) { + if (scfglex_src_nts[index-1] != nt) { + std::cerr << "Target symbol with index " << index << " is of type " << TD::Convert(nt*-1) + << " but corresponding source is of type " + << TD::Convert(scfglex_src_nts[index-1] * -1) << std::endl; + abort(); + } +} + +void sanity_check_trg_index(int index) { + if (index > scfglex_src_arity) { + std::cerr << "Target index " << index << " exceeds source arity " << scfglex_src_arity << std::endl; + abort(); + } + int& flag = scfglex_nt_sanity[index - 1]; + if (flag) { + std::cerr << "Target index " << index << " used multiple times!" << std::endl; + abort(); + } + flag = 1; +} + +void scfglex_reset() { + scfglex_src_arity = 0; + scfglex_trg_arity = 0; + scfglex_num_feats = 0; + scfglex_src_rhs_size = 0; + scfglex_trg_rhs_size = 0; +} + +%} + +REAL [\-+]?[0-9]+(\.[0-9]*([eE][-+]*[0-9]+)?)?|inf|[\-+]inf +NT [\-#$A-Z_:=.",\\][\-#$".A-Z+/=_0-9!:@\\]* + +%x LHS_END SRC TRG FEATS FEATVAL ALIGNS +%% + +[ \t] ; + +\[{NT}\] { + scfglex_tmp_token.assign(yytext + 1, yyleng - 2); + scfglex_lhs = -TD::Convert(scfglex_tmp_token); + // std::cerr << scfglex_tmp_token << "\n"; + BEGIN(LHS_END); + } + +\[{NT}\] { + scfglex_tmp_token.assign(yytext + 1, yyleng - 2); + scfglex_src_nts[scfglex_src_arity] = scfglex_src_rhs[scfglex_src_rhs_size] = -TD::Convert(scfglex_tmp_token); + ++scfglex_src_arity; + ++scfglex_src_rhs_size; + } + +\[{NT},[1-9][0-9]?\] { + int index = yytext[yyleng - 2] - '0'; + if (yytext[yyleng - 3] == ',') { + scfglex_tmp_token.assign(yytext + 1, yyleng - 4); + } else { + scfglex_tmp_token.assign(yytext + 1, yyleng - 5); + index += 10 * (yytext[yyleng - 3] - '0'); + } + if ((scfglex_src_arity+1) != index) { + std::cerr << "Src indices must go in order: expected " << scfglex_src_arity << " but got " << index << std::endl; + abort(); + } + scfglex_src_nts[scfglex_src_arity] = scfglex_src_rhs[scfglex_src_rhs_size] = -TD::Convert(scfglex_tmp_token); + ++scfglex_src_rhs_size; + ++scfglex_src_arity; + } + +\[{NT},[1-9][0-9]?\] { + int index = yytext[yyleng - 2] - '0'; + if (yytext[yyleng - 3] == ',') { + scfglex_tmp_token.assign(yytext + 1, yyleng - 4); + } else { + scfglex_tmp_token.assign(yytext + 1, yyleng - 5); + index += 10 * (yytext[yyleng - 3] - '0'); + } + ++scfglex_trg_arity; + // std::cerr << "TRG INDEX: " << index << std::endl; + sanity_check_trg_symbol(-TD::Convert(scfglex_tmp_token), index); + sanity_check_trg_index(index); + scfglex_trg_rhs[scfglex_trg_rhs_size] = 1 - index; + ++scfglex_trg_rhs_size; +} + +\[[1-9][0-9]?\] { + int index = yytext[yyleng - 2] - '0'; + if (yyleng == 4) { + index += 10 * (yytext[yyleng - 3] - '0'); + } + ++scfglex_trg_arity; + sanity_check_trg_index(index); + scfglex_trg_rhs[scfglex_trg_rhs_size] = 1 - index; + ++scfglex_trg_rhs_size; +} + +[ \t] { ; } +\|\|\| { + scfglex_reset(); + BEGIN(SRC); + } +. { + std::cerr << "Line " << lex_line << ": unexpected input in LHS: " << yytext << std::endl; + abort(); + } + +\|\|\| { + memset(scfglex_nt_sanity, 0, scfglex_src_arity * sizeof(int)); + BEGIN(TRG); + } +[^ \t]+ { + scfglex_tmp_token.assign(yytext, yyleng); + scfglex_src_rhs[scfglex_src_rhs_size] = TD::Convert(scfglex_tmp_token); + ++scfglex_src_rhs_size; + } +[ \t]+ { ; } + +\|\|\| { + BEGIN(FEATS); + } +[^ \t]+ { + scfglex_tmp_token.assign(yytext, yyleng); + scfglex_trg_rhs[scfglex_trg_rhs_size] = TD::Convert(scfglex_tmp_token); + ++scfglex_trg_rhs_size; + } +[ \t]+ { ; } + +\n { + if (scfglex_src_arity != scfglex_trg_arity) { + std::cerr << "Line " << lex_line << ": LHS and RHS arity mismatch!\n"; + abort(); + } + TRulePtr rp(new TRule(scfglex_lhs, scfglex_src_rhs, scfglex_src_rhs_size, scfglex_trg_rhs, scfglex_trg_rhs_size, scfglex_feat_ids, scfglex_feat_vals, scfglex_num_feats, scfglex_src_arity)); + rule_callback(rp, rule_callback_extra); + // std::cerr << rp->AsString() << std::endl; + num_rules++; + lex_line++; + if (num_rules % 50000 == 0) { std::cerr << '.' << std::flush; fl = true; } + if (num_rules % 2000000 == 0) { std::cerr << " [" << num_rules << "]\n"; fl = false; } + BEGIN(INITIAL); + } + +[ \t;] { ; } +[^ \t=;]+= { + scfglex_tmp_token.assign(yytext, yyleng - 1); + const int fid = FD::Convert(scfglex_tmp_token); + if (fid < 1) { + std::cerr << "\nUNWEIGHED FEATURE " << scfglex_tmp_token << std::endl; + abort(); + } + scfglex_feat_ids[scfglex_num_feats] = fid; + BEGIN(FEATVAL); + } +\|\|\| { + BEGIN(ALIGNS); + } +{REAL} { + scfglex_feat_vals[scfglex_num_feats] = strtod(yytext, NULL); + ++scfglex_num_feats; + BEGIN(FEATS); + } +. { + std::cerr << "Line " << lex_line << ": unexpected input in feature value: " << yytext << std::endl; + abort(); + } +{REAL} { + scfglex_feat_ids[scfglex_num_feats] = scfglex_phrase_fnames[scfglex_num_feats]; + scfglex_feat_vals[scfglex_num_feats] = strtod(yytext, NULL); + ++scfglex_num_feats; + } +. { + std::cerr << "Line " << lex_line << " unexpected input in features: " << yytext << std::endl; + abort(); + } +[0-9]+-[0-9]+ { + int i = 0; + int a = 0; + int b = 0; + while (i < yyleng) { + char c = yytext[i]; + if (c == '-') break; + a *= 10; + a += c - '0'; + ++i; + } + ++i; + while (i < yyleng) { + b *= 10; + b += yytext[i] - '0'; + ++i; + } + // TODO store alignment points somewhere + } +[ \t] ; +. { + std::cerr << "Line " << lex_line << ": unexpected input in alignment: " << yytext << std::endl; + abort(); + } +%% + +#include "filelib.h" + +void RuleLexer::ReadRules(std::istream* in, RuleLexer::RuleCallback func, void* extra) { + if (scfglex_phrase_fnames.empty()) { + scfglex_phrase_fnames.resize(100); + for (int i = 0; i < scfglex_phrase_fnames.size(); ++i) { + std::ostringstream os; + os << "PhraseModel_" << i; + scfglex_phrase_fnames[i] = FD::Convert(os.str()); + } + } + lex_line = 1; + scfglex_stream = in; + rule_callback_extra = extra, + rule_callback = func; + yylex(); +} + diff --git a/decoder/sampler.h b/decoder/sampler.h new file mode 100644 index 00000000..e5840f41 --- /dev/null +++ b/decoder/sampler.h @@ -0,0 +1,136 @@ +#ifndef SAMPLER_H_ +#define SAMPLER_H_ + +#include +#include +#include +#include +#include +#include + +#include +#include +#include +#include +#include + +#include "prob.h" + +struct SampleSet; + +template +struct RandomNumberGenerator { + static uint32_t GetTrulyRandomSeed() { + uint32_t seed; + std::ifstream r("/dev/urandom"); + if (r) { + r.read((char*)&seed,sizeof(uint32_t)); + } + if (r.fail() || !r) { + std::cerr << "Warning: could not read from /dev/urandom. Seeding from clock" << std::endl; + seed = time(NULL); + } + std::cerr << "Seeding random number sequence to " << seed << std::endl; + return seed; + } + + RandomNumberGenerator() : m_dist(0,1), m_generator(), m_random(m_generator,m_dist) { + uint32_t seed = GetTrulyRandomSeed(); + m_generator.seed(seed); + } + explicit RandomNumberGenerator(uint32_t seed) : m_dist(0,1), m_generator(), m_random(m_generator,m_dist) { + if (!seed) seed = GetTrulyRandomSeed(); + m_generator.seed(seed); + } + + size_t SelectSample(const prob_t& a, const prob_t& b, double T = 1.0) { + if (T == 1.0) { + if (this->next() > (a / (a + b))) return 1; else return 0; + } else { + assert(!"not implemented"); + } + } + + // T is the annealing temperature, if desired + size_t SelectSample(const SampleSet& ss, double T = 1.0); + + // draw a value from U(0,1) + double next() {return m_random();} + + // draw a value from N(mean,var) + double NextNormal(double mean, double var) { + return boost::normal_distribution(mean, var)(m_random); + } + + // draw a value from a Poisson distribution + // lambda must be greater than 0 + int NextPoisson(int lambda) { + return boost::poisson_distribution(lambda)(m_random); + } + + bool AcceptMetropolisHastings(const prob_t& p_cur, + const prob_t& p_prev, + const prob_t& q_cur, + const prob_t& q_prev) { + const prob_t a = (p_cur / p_prev) * (q_prev / q_cur); + if (log(a) >= 0.0) return true; + return (prob_t(this->next()) < a); + } + + private: + boost::uniform_real<> m_dist; + RNG m_generator; + boost::variate_generator > m_random; +}; + +typedef RandomNumberGenerator MT19937; + +class SampleSet { + public: + const prob_t& operator[](int i) const { return m_scores[i]; } + bool empty() const { return m_scores.empty(); } + void add(const prob_t& s) { m_scores.push_back(s); } + void clear() { m_scores.clear(); } + size_t size() const { return m_scores.size(); } + std::vector m_scores; +}; + +template +size_t RandomNumberGenerator::SelectSample(const SampleSet& ss, double T) { + assert(T > 0.0); + assert(ss.m_scores.size() > 0); + if (ss.m_scores.size() == 1) return 0; + const prob_t annealing_factor(1.0 / T); + const bool anneal = (annealing_factor != prob_t::One()); + prob_t sum = prob_t::Zero(); + if (anneal) { + for (int i = 0; i < ss.m_scores.size(); ++i) + sum += ss.m_scores[i].pow(annealing_factor); // p^(1/T) + } else { + sum = std::accumulate(ss.m_scores.begin(), ss.m_scores.end(), prob_t::Zero()); + } + //for (size_t i = 0; i < ss.m_scores.size(); ++i) std::cerr << ss.m_scores[i] << ","; + //std::cerr << std::endl; + + prob_t random(this->next()); // random number between 0 and 1 + random *= sum; // scale with normalization factor + //std::cerr << "Random number " << random << std::endl; + + //now figure out which sample + size_t position = 1; + sum = ss.m_scores[0]; + if (anneal) { + sum.poweq(annealing_factor); + for (; position < ss.m_scores.size() && sum < random; ++position) + sum += ss.m_scores[position].pow(annealing_factor); + } else { + for (; position < ss.m_scores.size() && sum < random; ++position) + sum += ss.m_scores[position]; + } + //std::cout << "random: " << random << " sample: " << position << std::endl; + //std::cerr << "Sample: " << position-1 << std::endl; + //exit(1); + return position-1; +} + +#endif diff --git a/decoder/scfg_translator.cc b/decoder/scfg_translator.cc new file mode 100644 index 00000000..c215eea6 --- /dev/null +++ b/decoder/scfg_translator.cc @@ -0,0 +1,132 @@ +#include "translator.h" + +#include + +#include "hg.h" +#include "grammar.h" +#include "bottom_up_parser.h" +#include "sentence_metadata.h" + +using namespace std; +static bool usingSentenceGrammar = false; +static bool printGrammarsUsed = false; + +struct SCFGTranslatorImpl { + SCFGTranslatorImpl(const boost::program_options::variables_map& conf) : + max_span_limit(conf["scfg_max_span_limit"].as()), + add_pass_through_rules(conf.count("add_pass_through_rules")), + goal(conf["goal"].as()), + default_nt(conf["scfg_default_nt"].as()) { + if(conf.count("grammar")) + { + vector gfiles = conf["grammar"].as >(); + for (int i = 0; i < gfiles.size(); ++i) { + cerr << "Reading SCFG grammar from " << gfiles[i] << endl; + TextGrammar* g = new TextGrammar(gfiles[i]); + g->SetMaxSpan(max_span_limit); + g->SetGrammarName(gfiles[i]); + grammars.push_back(GrammarPtr(g)); + + } + } + if (!conf.count("scfg_no_hiero_glue_grammar")) + { + GlueGrammar* g = new GlueGrammar(goal, default_nt); + g->SetGrammarName("GlueGrammar"); + grammars.push_back(GrammarPtr(g)); + cerr << "Adding glue grammar" << endl; + } + if (conf.count("scfg_extra_glue_grammar")) + { + GlueGrammar* g = new GlueGrammar(conf["scfg_extra_glue_grammar"].as()); + g->SetGrammarName("ExtraGlueGrammar"); + grammars.push_back(GrammarPtr(g)); + cerr << "Adding extra glue grammar" << endl; + } + } + + const int max_span_limit; + const bool add_pass_through_rules; + const string goal; + const string default_nt; + vector grammars; + + bool Translate(const string& input, + SentenceMetadata* smeta, + const vector& weights, + Hypergraph* forest) { + vector glist = grammars; + Lattice& lattice = smeta->src_lattice_; + LatticeTools::ConvertTextOrPLF(input, &lattice); + smeta->SetSourceLength(lattice.size()); + if (add_pass_through_rules){ + PassThroughGrammar* g = new PassThroughGrammar(lattice, default_nt); + g->SetGrammarName("PassThrough"); + glist.push_back(GrammarPtr(g)); + cerr << "Adding pass through grammar" << endl; + } + + + + if(printGrammarsUsed){ //Iterate trough grammars we have for this sentence and list them + for (int gi = 0; gi < glist.size(); ++gi) + { + cerr << "Using grammar::" << glist[gi]->GetGrammarName() << endl; + } + } + + ExhaustiveBottomUpParser parser(goal, glist); + if (!parser.Parse(lattice, forest)) + return false; + forest->Reweight(weights); + return true; + } +}; + +/* +Called once from cdec.cc to setup the initial SCFG translation structure backend +*/ +SCFGTranslator::SCFGTranslator(const boost::program_options::variables_map& conf) : + pimpl_(new SCFGTranslatorImpl(conf)) {} + +/* +Called for each sentence to perform translation using the SCFG backend +*/ +bool SCFGTranslator::TranslateImpl(const string& input, + SentenceMetadata* smeta, + const vector& weights, + Hypergraph* minus_lm_forest) { + + return pimpl_->Translate(input, smeta, weights, minus_lm_forest); +} + +/* +Check for grammar pointer in the sentence markup, for use with sentence specific grammars + */ +void SCFGTranslator::ProcessMarkupHintsImpl(const map& kv) { + map::const_iterator it = kv.find("grammar"); + + + if (it == kv.end()) { + usingSentenceGrammar= false; + return; + } + //Create sentence specific grammar from specified file name and load grammar into list of grammars + cerr << "Loading sentence grammar from:" << it->second << endl; + usingSentenceGrammar = true; + TextGrammar* sentGrammar = new TextGrammar(it->second); + sentGrammar->SetMaxSpan(pimpl_->max_span_limit); + sentGrammar->SetGrammarName(it->second); + pimpl_->grammars.push_back(GrammarPtr(sentGrammar)); + +} + +void SCFGTranslator::SentenceCompleteImpl() { + + if(usingSentenceGrammar) // Drop the last sentence grammar from the list of grammars + { + cerr << "Clearing grammar" << endl; + pimpl_->grammars.pop_back(); + } +} + diff --git a/decoder/sentence_metadata.h b/decoder/sentence_metadata.h new file mode 100644 index 00000000..ef9eb388 --- /dev/null +++ b/decoder/sentence_metadata.h @@ -0,0 +1,47 @@ +#ifndef _SENTENCE_METADATA_H_ +#define _SENTENCE_METADATA_H_ + +#include +#include "lattice.h" + +struct SentenceMetadata { + SentenceMetadata(int id, const Lattice& ref) : + sent_id_(id), + src_len_(-1), + has_reference_(ref.size() > 0), + trg_len_(ref.size()), + ref_(has_reference_ ? &ref : NULL) {} + + // this should be called by the Translator object after + // it has parsed the source + void SetSourceLength(int sl) { src_len_ = sl; } + + // this should be called if a separate model needs to + // specify how long the target sentence should be + void SetTargetLength(int tl) { + assert(!has_reference_); + trg_len_ = tl; + } + bool HasReference() const { return has_reference_; } + const Lattice& GetReference() const { return *ref_; } + int GetSourceLength() const { return src_len_; } + int GetTargetLength() const { return trg_len_; } + int GetSentenceID() const { return sent_id_; } + // this will be empty if the translator accepts non FS input! + const Lattice& GetSourceLattice() const { return src_lattice_; } + + private: + const int sent_id_; + // the following should be set, if possible, by the Translator + int src_len_; + public: + Lattice src_lattice_; // this will only be set if inputs are finite state! + private: + // you need to be very careful when depending on these values + // they will only be set during training / alignment contexts + const bool has_reference_; + int trg_len_; + const Lattice* const ref_; +}; + +#endif diff --git a/decoder/small_vector.h b/decoder/small_vector.h new file mode 100644 index 00000000..800c1df1 --- /dev/null +++ b/decoder/small_vector.h @@ -0,0 +1,187 @@ +#ifndef _SMALL_VECTOR_H_ + +#include // std::max - where to get this? +#include +#include + +#define __SV_MAX_STATIC 2 + +class SmallVector { + + public: + SmallVector() : size_(0) {} + + explicit SmallVector(size_t s, int v = 0) : size_(s) { + assert(s < 0x80); + if (s <= __SV_MAX_STATIC) { + for (int i = 0; i < s; ++i) data_.vals[i] = v; + } else { + capacity_ = s; + size_ = s; + data_.ptr = new int[s]; + for (int i = 0; i < size_; ++i) data_.ptr[i] = v; + } + } + + SmallVector(const SmallVector& o) : size_(o.size_) { + if (size_ <= __SV_MAX_STATIC) { + for (int i = 0; i < __SV_MAX_STATIC; ++i) data_.vals[i] = o.data_.vals[i]; + } else { + capacity_ = size_ = o.size_; + data_.ptr = new int[capacity_]; + std::memcpy(data_.ptr, o.data_.ptr, size_ * sizeof(int)); + } + } + + const SmallVector& operator=(const SmallVector& o) { + if (size_ <= __SV_MAX_STATIC) { + if (o.size_ <= __SV_MAX_STATIC) { + size_ = o.size_; + for (int i = 0; i < __SV_MAX_STATIC; ++i) data_.vals[i] = o.data_.vals[i]; + } else { + capacity_ = size_ = o.size_; + data_.ptr = new int[capacity_]; + std::memcpy(data_.ptr, o.data_.ptr, size_ * sizeof(int)); + } + } else { + if (o.size_ <= __SV_MAX_STATIC) { + delete[] data_.ptr; + size_ = o.size_; + for (int i = 0; i < size_; ++i) data_.vals[i] = o.data_.vals[i]; + } else { + if (capacity_ < o.size_) { + delete[] data_.ptr; + capacity_ = o.size_; + data_.ptr = new int[capacity_]; + } + size_ = o.size_; + for (int i = 0; i < size_; ++i) + data_.ptr[i] = o.data_.ptr[i]; + } + } + return *this; + } + + ~SmallVector() { + if (size_ <= __SV_MAX_STATIC) return; + delete[] data_.ptr; + } + + void clear() { + if (size_ > __SV_MAX_STATIC) { + delete[] data_.ptr; + } + size_ = 0; + } + + bool empty() const { return size_ == 0; } + size_t size() const { return size_; } + + inline void ensure_capacity(unsigned char min_size) { + assert(min_size > __SV_MAX_STATIC); + if (min_size < capacity_) return; + unsigned char new_cap = std::max(static_cast(capacity_ << 1), min_size); + int* tmp = new int[new_cap]; + std::memcpy(tmp, data_.ptr, capacity_ * sizeof(int)); + delete[] data_.ptr; + data_.ptr = tmp; + capacity_ = new_cap; + } + + inline void copy_vals_to_ptr() { + capacity_ = __SV_MAX_STATIC * 2; + int* tmp = new int[capacity_]; + for (int i = 0; i < __SV_MAX_STATIC; ++i) tmp[i] = data_.vals[i]; + data_.ptr = tmp; + } + + inline void push_back(int v) { + if (size_ < __SV_MAX_STATIC) { + data_.vals[size_] = v; + ++size_; + return; + } else if (size_ == __SV_MAX_STATIC) { + copy_vals_to_ptr(); + } else if (size_ == capacity_) { + ensure_capacity(size_ + 1); + } + data_.ptr[size_] = v; + ++size_; + } + + int& back() { return this->operator[](size_ - 1); } + const int& back() const { return this->operator[](size_ - 1); } + int& front() { return this->operator[](0); } + const int& front() const { return this->operator[](0); } + + void resize(size_t s, int v = 0) { + if (s <= __SV_MAX_STATIC) { + if (size_ > __SV_MAX_STATIC) { + int tmp[__SV_MAX_STATIC]; + for (int i = 0; i < s; ++i) tmp[i] = data_.ptr[i]; + delete[] data_.ptr; + for (int i = 0; i < s; ++i) data_.vals[i] = tmp[i]; + size_ = s; + return; + } + if (s <= size_) { + size_ = s; + return; + } else { + for (int i = size_; i < s; ++i) + data_.vals[i] = v; + size_ = s; + return; + } + } else { + if (size_ <= __SV_MAX_STATIC) + copy_vals_to_ptr(); + if (s > capacity_) + ensure_capacity(s); + if (s > size_) { + for (int i = size_; i < s; ++i) + data_.ptr[i] = v; + } + size_ = s; + } + } + + int& operator[](size_t i) { + if (size_ <= __SV_MAX_STATIC) return data_.vals[i]; + return data_.ptr[i]; + } + + const int& operator[](size_t i) const { + if (size_ <= __SV_MAX_STATIC) return data_.vals[i]; + return data_.ptr[i]; + } + + bool operator==(const SmallVector& o) const { + if (size_ != o.size_) return false; + if (size_ <= __SV_MAX_STATIC) { + for (size_t i = 0; i < size_; ++i) + if (data_.vals[i] != o.data_.vals[i]) return false; + return true; + } else { + for (size_t i = 0; i < size_; ++i) + if (data_.ptr[i] != o.data_.ptr[i]) return false; + return true; + } + } + + private: + unsigned char capacity_; // only defined when size_ >= __SV_MAX_STATIC + unsigned char size_; + union StorageType { + int vals[__SV_MAX_STATIC]; + int* ptr; + }; + StorageType data_; + +}; + +inline bool operator!=(const SmallVector& a, const SmallVector& b) { + return !(a==b); +} + +#endif diff --git a/decoder/small_vector_test.cc b/decoder/small_vector_test.cc new file mode 100644 index 00000000..84237791 --- /dev/null +++ b/decoder/small_vector_test.cc @@ -0,0 +1,129 @@ +#include "small_vector.h" + +#include +#include +#include +#include + +using namespace std; + +class SVTest : public testing::Test { + protected: + virtual void SetUp() { } + virtual void TearDown() { } +}; + +TEST_F(SVTest, LargerThan2) { + SmallVector v; + SmallVector v2; + v.push_back(0); + v.push_back(1); + v.push_back(2); + assert(v.size() == 3); + assert(v[2] == 2); + assert(v[1] == 1); + assert(v[0] == 0); + v2 = v; + SmallVector copy(v); + assert(copy.size() == 3); + assert(copy[0] == 0); + assert(copy[1] == 1); + assert(copy[2] == 2); + assert(copy == v2); + copy[1] = 99; + assert(copy != v2); + assert(v2.size() == 3); + assert(v2[2] == 2); + assert(v2[1] == 1); + assert(v2[0] == 0); + v2[0] = -2; + v2[1] = -1; + v2[2] = 0; + assert(v2[2] == 0); + assert(v2[1] == -1); + assert(v2[0] == -2); + SmallVector v3(1,1); + assert(v3[0] == 1); + v2 = v3; + assert(v2.size() == 1); + assert(v2[0] == 1); + SmallVector v4(10, 1); + assert(v4.size() == 10); + assert(v4[5] == 1); + assert(v4[9] == 1); + v4 = v; + assert(v4.size() == 3); + assert(v4[2] == 2); + assert(v4[1] == 1); + assert(v4[0] == 0); + SmallVector v5(10, 2); + assert(v5.size() == 10); + assert(v5[7] == 2); + assert(v5[0] == 2); + assert(v.size() == 3); + v = v5; + assert(v.size() == 10); + assert(v[2] == 2); + assert(v[9] == 2); + SmallVector cc; + for (int i = 0; i < 33; ++i) + cc.push_back(i); + for (int i = 0; i < 33; ++i) + assert(cc[i] == i); + cc.resize(20); + assert(cc.size() == 20); + for (int i = 0; i < 20; ++i) + assert(cc[i] == i); + cc[0]=-1; + cc.resize(1, 999); + assert(cc.size() == 1); + assert(cc[0] == -1); + cc.resize(99, 99); + for (int i = 1; i < 99; ++i) { + cerr << i << " " << cc[i] << endl; + assert(cc[i] == 99); + } + cc.clear(); + assert(cc.size() == 0); +} + +TEST_F(SVTest, Small) { + SmallVector v; + SmallVector v1(1,0); + SmallVector v2(2,10); + SmallVector v1a(2,0); + EXPECT_TRUE(v1 != v1a); + EXPECT_TRUE(v1 == v1); + EXPECT_EQ(v1[0], 0); + EXPECT_EQ(v2[1], 10); + EXPECT_EQ(v2[0], 10); + ++v2[1]; + --v2[0]; + EXPECT_EQ(v2[0], 9); + EXPECT_EQ(v2[1], 11); + SmallVector v3(v2); + assert(v3[0] == 9); + assert(v3[1] == 11); + assert(!v3.empty()); + assert(v3.size() == 2); + v3.clear(); + assert(v3.empty()); + assert(v3.size() == 0); + assert(v3 != v2); + assert(v2 != v3); + v3 = v2; + assert(v3 == v2); + assert(v2 == v3); + assert(v3[0] == 9); + assert(v3[1] == 11); + assert(!v3.empty()); + assert(v3.size() == 2); + cerr << sizeof(SmallVector) << endl; + cerr << sizeof(vector) << endl; +} + +int main(int argc, char** argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} + diff --git a/decoder/sparse_vector.cc b/decoder/sparse_vector.cc new file mode 100644 index 00000000..4035b9ef --- /dev/null +++ b/decoder/sparse_vector.cc @@ -0,0 +1,98 @@ +#include "sparse_vector.h" + +#include +#include + +#include "hg_io.h" + +using namespace std; + +namespace B64 { + +void Encode(double objective, const SparseVector& v, ostream* out) { + const int num_feats = v.num_active(); + size_t tot_size = 0; + const size_t off_objective = tot_size; + tot_size += sizeof(double); // objective + const size_t off_num_feats = tot_size; + tot_size += sizeof(int); // num_feats + const size_t off_data = tot_size; + tot_size += sizeof(unsigned char) * num_feats; // lengths of feature names; + typedef SparseVector::const_iterator const_iterator; + for (const_iterator it = v.begin(); it != v.end(); ++it) + tot_size += FD::Convert(it->first).size(); // feature names; + tot_size += sizeof(double) * num_feats; // gradient + const size_t off_magic = tot_size; + tot_size += 4; // magic + + // size_t b64_size = tot_size * 4 / 3; + // cerr << "Sparse vector binary size: " << tot_size << " (b64 size=" << b64_size << ")\n"; + char* data = new char[tot_size]; + *reinterpret_cast(&data[off_objective]) = objective; + *reinterpret_cast(&data[off_num_feats]) = num_feats; + char* cur = &data[off_data]; + assert(cur - data == off_data); + for (const_iterator it = v.begin(); it != v.end(); ++it) { + const string& fname = FD::Convert(it->first); + *cur++ = static_cast(fname.size()); // name len + memcpy(cur, &fname[0], fname.size()); + cur += fname.size(); + *reinterpret_cast(cur) = it->second; + cur += sizeof(double); + } + assert(cur - data == off_magic); + *reinterpret_cast(cur) = 0xBAABABBAu; + cur += sizeof(unsigned int); + assert(cur - data == tot_size); + b64encode(data, tot_size, out); + delete[] data; +} + +bool Decode(double* objective, SparseVector* v, const char* in, size_t size) { + v->clear(); + if (size % 4 != 0) { + cerr << "B64 error - line % 4 != 0\n"; + return false; + } + const size_t decoded_size = size * 3 / 4 - sizeof(unsigned int); + const size_t buf_size = decoded_size + sizeof(unsigned int); + if (decoded_size < 6) { cerr << "SparseVector decoding error: too short!\n"; return false; } + char* data = new char[buf_size]; + if (!b64decode(reinterpret_cast(in), size, data, buf_size)) { + delete[] data; + return false; + } + size_t cur = 0; + *objective = *reinterpret_cast(data); + cur += sizeof(double); + const int num_feats = *reinterpret_cast(&data[cur]); + cur += sizeof(int); + int fc = 0; + while(fc < num_feats && cur < decoded_size) { + ++fc; + const int fname_len = data[cur++]; + assert(fname_len > 0); + assert(fname_len < 256); + string fname(fname_len, '\0'); + memcpy(&fname[0], &data[cur], fname_len); + cur += fname_len; + const double val = *reinterpret_cast(&data[cur]); + cur += sizeof(double); + int fid = FD::Convert(fname); + v->set_value(fid, val); + } + if(num_feats != fc) { + cerr << "Expected " << num_feats << " but only decoded " << fc << "!\n"; + delete[] data; + return false; + } + if (*reinterpret_cast(&data[cur]) != 0xBAABABBAu) { + cerr << "SparseVector decodeding error : magic does not match!\n"; + delete[] data; + return false; + } + delete[] data; + return true; +} + +} diff --git a/decoder/sparse_vector.h b/decoder/sparse_vector.h new file mode 100644 index 00000000..66c9b10d --- /dev/null +++ b/decoder/sparse_vector.h @@ -0,0 +1,274 @@ +#ifndef _SPARSE_VECTOR_H_ +#define _SPARSE_VECTOR_H_ + +// this is a modified version of code originally written +// by Phil Blunsom + +#include +#include +#include +#include +#include + +#include "fdict.h" + +template +class SparseVector { +public: + typedef std::map MapType; + typedef typename std::map::const_iterator const_iterator; + SparseVector() {} + + const T operator[](int index) const { + typename MapType::const_iterator found = values_.find(index); + if (found == values_.end()) + return T(0); + else + return found->second; + } + + void set_value(int index, const T &value) { + values_[index] = value; + } + + T add_value(int index, const T &value) { + return values_[index] += value; + } + + T value(int index) const { + typename MapType::const_iterator found = values_.find(index); + if (found != values_.end()) + return found->second; + else + return T(0); + } + + void store(std::valarray* target) const { + (*target) *= 0; + for (typename MapType::const_iterator + it = values_.begin(); it != values_.end(); ++it) { + if (it->first >= target->size()) break; + (*target)[it->first] = it->second; + } + } + + int max_index() const { + if (values_.empty()) return 0; + typename MapType::const_iterator found =values_.end(); + --found; + return found->first; + } + + // dot product with a unit vector of the same length + // as the sparse vector + T dot() const { + T sum = 0; + for (typename MapType::const_iterator + it = values_.begin(); it != values_.end(); ++it) + sum += it->second; + return sum; + } + + template + S dot(const SparseVector &vec) const { + S sum = 0; + for (typename MapType::const_iterator + it = values_.begin(); it != values_.end(); ++it) + { + typename MapType::const_iterator + found = vec.values_.find(it->first); + if (found != vec.values_.end()) + sum += it->second * found->second; + } + return sum; + } + + template + S dot(const std::vector &vec) const { + S sum = 0; + for (typename MapType::const_iterator + it = values_.begin(); it != values_.end(); ++it) + { + if (it->first < static_cast(vec.size())) + sum += it->second * vec[it->first]; + } + return sum; + } + + template + S dot(const S *vec) const { + // this is not range checked! + S sum = 0; + for (typename MapType::const_iterator + it = values_.begin(); it != values_.end(); ++it) + sum += it->second * vec[it->first]; + std::cout << "dot(*vec) " << sum << std::endl; + return sum; + } + + T l1norm() const { + T sum = 0; + for (typename MapType::const_iterator + it = values_.begin(); it != values_.end(); ++it) + sum += fabs(it->second); + return sum; + } + + T l2norm() const { + T sum = 0; + for (typename MapType::const_iterator + it = values_.begin(); it != values_.end(); ++it) + sum += it->second * it->second; + return sqrt(sum); + } + + SparseVector &operator+=(const SparseVector &other) { + for (typename MapType::const_iterator + it = other.values_.begin(); it != other.values_.end(); ++it) + { + T v = (values_[it->first] += it->second); + if (v == T()) + values_.erase(it->first); + } + return *this; + } + + SparseVector &operator-=(const SparseVector &other) { + for (typename MapType::const_iterator + it = other.values_.begin(); it != other.values_.end(); ++it) + { + T v = (values_[it->first] -= it->second); + if (v == T(0)) + values_.erase(it->first); + } + return *this; + } + + SparseVector &operator-=(const double &x) { + for (typename MapType::iterator + it = values_.begin(); it != values_.end(); ++it) + it->second -= x; + return *this; + } + + SparseVector &operator+=(const double &x) { + for (typename MapType::iterator + it = values_.begin(); it != values_.end(); ++it) + it->second += x; + return *this; + } + + SparseVector &operator/=(const T &x) { + for (typename MapType::iterator + it = values_.begin(); it != values_.end(); ++it) + it->second /= x; + return *this; + } + + SparseVector &operator*=(const T& x) { + for (typename MapType::iterator + it = values_.begin(); it != values_.end(); ++it) + it->second *= x; + return *this; + } + + SparseVector operator+(const double &x) const { + SparseVector result = *this; + return result += x; + } + + SparseVector operator-(const double &x) const { + SparseVector result = *this; + return result -= x; + } + + SparseVector operator/(const double &x) const { + SparseVector result = *this; + return result /= x; + } + + std::ostream &operator<<(std::ostream &out) const { + bool first = true; + for (typename MapType::const_iterator + it = values_.begin(); it != values_.end(); ++it) { + // by definition feature id 0 is a dummy value + if (it->first == 0) continue; + out << (first ? "" : ";") + << FD::Convert(it->first) << '=' << it->second; + first = false; + } + return out; + } + + bool operator<(const SparseVector &other) const { + typename MapType::const_iterator it = values_.begin(); + typename MapType::const_iterator other_it = other.values_.begin(); + + for (; it != values_.end() && other_it != other.values_.end(); ++it, ++other_it) + { + if (it->first < other_it->first) return true; + if (it->first > other_it->first) return false; + if (it->second < other_it->second) return true; + if (it->second > other_it->second) return false; + } + return values_.size() < other.values_.size(); + } + + int num_active() const { return values_.size(); } + bool empty() const { return values_.empty(); } + + const_iterator begin() const { return values_.begin(); } + const_iterator end() const { return values_.end(); } + + void clear() { + values_.clear(); + } + void clear_value(int index) { + values_.erase(index); + } + + void swap(SparseVector& other) { + values_.swap(other.values_); + } + +private: + MapType values_; +}; + +template +SparseVector operator+(const SparseVector& a, const SparseVector& b) { + SparseVector result = a; + return result += b; +} + +template +SparseVector operator*(const SparseVector& a, const double& b) { + SparseVector result = a; + return result *= b; +} + +template +SparseVector operator*(const SparseVector& a, const T& b) { + SparseVector result = a; + return result *= b; +} + +template +SparseVector operator*(const double& a, const SparseVector& b) { + SparseVector result = b; + return result *= a; +} + +template +std::ostream &operator<<(std::ostream &out, const SparseVector &vec) +{ + return vec.operator<<(out); +} + +namespace B64 { + void Encode(double objective, const SparseVector& v, std::ostream* out); + // returns false if failed to decode + bool Decode(double* objective, SparseVector* v, const char* data, size_t size); +} + +#endif diff --git a/decoder/stringlib.cc b/decoder/stringlib.cc new file mode 100644 index 00000000..3e52ae87 --- /dev/null +++ b/decoder/stringlib.cc @@ -0,0 +1,98 @@ +#include "stringlib.h" + +#include +#include +#include +#include +#include + +#include "lattice.h" + +using namespace std; + +void ParseTranslatorInput(const string& line, string* input, string* ref) { + size_t hint = 0; + if (line.find("{\"rules\":") == 0) { + hint = line.find("}}"); + if (hint == string::npos) { + cerr << "Syntax error: " << line << endl; + abort(); + } + hint += 2; + } + size_t pos = line.find("|||", hint); + if (pos == string::npos) { *input = line; return; } + ref->clear(); + *input = line.substr(0, pos - 1); + string rline = line.substr(pos + 4); + if (rline.size() > 0) { + assert(ref); + *ref = rline; + } +} + +void ParseTranslatorInputLattice(const string& line, string* input, Lattice* ref) { + string sref; + ParseTranslatorInput(line, input, &sref); + if (sref.size() > 0) { + assert(ref); + LatticeTools::ConvertTextOrPLF(sref, ref); + } +} + +void ProcessAndStripSGML(string* pline, map* out) { + map& meta = *out; + string& line = *pline; + string lline = LowercaseString(line); + if (lline.find(""); + if (close == string::npos) return; // error + size_t end = lline.find(""); + string seg = Trim(lline.substr(4, close-4)); + string text = line.substr(close+1, end - close - 1); + for (size_t i = 1; i < seg.size(); i++) { + if (seg[i] == '=' && seg[i-1] == ' ') { + string less = seg.substr(0, i-1) + seg.substr(i); + seg = less; i = 0; continue; + } + if (seg[i] == '=' && seg[i+1] == ' ') { + string less = seg.substr(0, i+1); + if (i+2 < seg.size()) less += seg.substr(i+2); + seg = less; i = 0; continue; + } + } + line = Trim(text); + if (seg == "") return; + for (size_t i = 1; i < seg.size(); i++) { + if (seg[i] == '=') { + string label = seg.substr(0, i); + string val = seg.substr(i+1); + if (val[0] == '"') { + val = val.substr(1); + size_t close = val.find('"'); + if (close == string::npos) { + cerr << "SGML parse error: missing \"\n"; + seg = ""; + i = 0; + } else { + seg = val.substr(close+1); + val = val.substr(0, close); + i = 0; + } + } else { + size_t close = val.find(' '); + if (close == string::npos) { + seg = ""; + i = 0; + } else { + seg = val.substr(close+1); + val = val.substr(0, close); + } + } + label = Trim(label); + seg = Trim(seg); + meta[label] = val; + } + } +} + diff --git a/decoder/stringlib.h b/decoder/stringlib.h new file mode 100644 index 00000000..76efee8f --- /dev/null +++ b/decoder/stringlib.h @@ -0,0 +1,101 @@ +#ifndef _STRINGLIB_H_ + +#include +#include +#include +#include + +// read line in the form of either: +// source +// source ||| target +// source will be returned as a string, target must be a sentence or +// a lattice (in PLF format) and will be returned as a Lattice object +void ParseTranslatorInput(const std::string& line, std::string* input, std::string* ref); +struct Lattice; +void ParseTranslatorInputLattice(const std::string& line, std::string* input, Lattice* ref); + +inline const std::string Trim(const std::string& str, const std::string& dropChars = " \t") { + std::string res = str; + res.erase(str.find_last_not_of(dropChars)+1); + return res.erase(0, res.find_first_not_of(dropChars)); +} + +inline void Tokenize(const std::string& str, char delimiter, std::vector* res) { + std::string s = str; + int last = 0; + res->clear(); + for (int i=0; i < s.size(); ++i) + if (s[i] == delimiter) { + s[i]=0; + if (last != i) { + res->push_back(&s[last]); + } + last = i + 1; + } + if (last != s.size()) + res->push_back(&s[last]); +} + +inline std::string LowercaseString(const std::string& in) { + std::string res(in.size(),' '); + for (int i = 0; i < in.size(); ++i) + res[i] = tolower(in[i]); + return res; +} + +inline int CountSubstrings(const std::string& str, const std::string& sub) { + size_t p = 0; + int res = 0; + while (p < str.size()) { + p = str.find(sub, p); + if (p == std::string::npos) break; + ++res; + p += sub.size(); + } + return res; +} + +inline int SplitOnWhitespace(const std::string& in, std::vector* out) { + out->clear(); + int i = 0; + int start = 0; + std::string cur; + while(i < in.size()) { + if (in[i] == ' ' || in[i] == '\t') { + if (i - start > 0) + out->push_back(in.substr(start, i - start)); + start = i + 1; + } + ++i; + } + if (i > start) + out->push_back(in.substr(start, i - start)); + return out->size(); +} + +inline void SplitCommandAndParam(const std::string& in, std::string* cmd, std::string* param) { + cmd->clear(); + param->clear(); + std::vector x; + SplitOnWhitespace(in, &x); + if (x.size() == 0) return; + *cmd = x[0]; + for (int i = 1; i < x.size(); ++i) { + if (i > 1) { *param += " "; } + *param += x[i]; + } +} + +void ProcessAndStripSGML(std::string* line, std::map* out); + +// given the first character of a UTF8 block, find out how wide it is +// see http://en.wikipedia.org/wiki/UTF-8 for more info +inline unsigned int UTF8Len(unsigned char x) { + if (x < 0x80) return 1; + else if ((x >> 5) == 0x06) return 2; + else if ((x >> 4) == 0x0e) return 3; + else if ((x >> 3) == 0x1e) return 4; + else return 0; +} + +#endif diff --git a/decoder/tagger.cc b/decoder/tagger.cc new file mode 100644 index 00000000..4dded35f --- /dev/null +++ b/decoder/tagger.cc @@ -0,0 +1,112 @@ +#include "tagger.h" + +#include "tdict.h" +#include "hg_io.h" +#include "filelib.h" +#include "hg.h" +#include "wordid.h" +#include "sentence_metadata.h" + +using namespace std; + +// This is a really simple linear chain tagger. +// You specify a tagset, and it hypothesizes that each word in the +// input can be tagged with any member of the tagset. +// The are a couple sample features implemented in ff_tagger.h/cc +// One thing to note, that while CRFs typically define the label +// sequence as corresponding to the hidden states in a trellis, +// in our model the labels are on edges, but mathematically +// they are identical. +// +// Things to do if you want to make this a "real" tagger: +// - support dictionaries (for each word, limit the tags considered) +// - add latent variables - this is really easy to do + +static void ReadTagset(const string& file, vector* tags) { + ReadFile rf(file); + istream& in(*rf.stream()); + while(in) { + string tag; + in >> tag; + if (tag.empty()) continue; + tags->push_back(TD::Convert(tag)); + } + cerr << "Read " << tags->size() << " labels (tags) from " << file << endl; +} + +struct TaggerImpl { + TaggerImpl(const boost::program_options::variables_map& conf) : + kXCAT(TD::Convert("X")*-1), + kNULL(TD::Convert("")), + kBINARY(new TRule("[X] ||| [X,1] [X,2] ||| [1] [2]")), + kGOAL_RULE(new TRule("[Goal] ||| [X,1] ||| [1]")) { + if (conf.count("tagger_tagset") == 0) { + cerr << "Tagger requires --tagger_tagset FILE!\n"; + exit(1); + } + ReadTagset(conf["tagger_tagset"].as(), &tagset_); + } + + void BuildTrellis(const vector& seq, Hypergraph* forest) { + int prev_node_id = -1; + for (int i = 0; i < seq.size(); ++i) { + const WordID& src = seq[i]; + const int new_node_id = forest->AddNode(kXCAT)->id_; + for (int k = 0; k < tagset_.size(); ++k) { + TRulePtr rule(TRule::CreateLexicalRule(src, tagset_[k])); + Hypergraph::Edge* edge = forest->AddEdge(rule, Hypergraph::TailNodeVector()); + edge->i_ = i; + edge->j_ = i+1; + edge->prev_i_ = i; // we set these for FastLinearIntersect + edge->prev_j_ = i+1; // " " " + forest->ConnectEdgeToHeadNode(edge->id_, new_node_id); + } + if (prev_node_id >= 0) { + const int comb_node_id = forest->AddNode(kXCAT)->id_; + Hypergraph::TailNodeVector tail(2, prev_node_id); + tail[1] = new_node_id; + Hypergraph::Edge* edge = forest->AddEdge(kBINARY, tail); + edge->i_ = 0; + edge->j_ = i+1; + forest->ConnectEdgeToHeadNode(edge->id_, comb_node_id); + prev_node_id = comb_node_id; + } else { + prev_node_id = new_node_id; + } + } + Hypergraph::TailNodeVector tail(1, forest->nodes_.size() - 1); + Hypergraph::Node* goal = forest->AddNode(TD::Convert("Goal")*-1); + Hypergraph::Edge* hg_edge = forest->AddEdge(kGOAL_RULE, tail); + forest->ConnectEdgeToHeadNode(hg_edge, goal); + } + + private: + vector tagset_; + const WordID kXCAT; + const WordID kNULL; + const TRulePtr kBINARY; + const TRulePtr kGOAL_RULE; +}; + +Tagger::Tagger(const boost::program_options::variables_map& conf) : + pimpl_(new TaggerImpl(conf)) {} + + +bool Tagger::TranslateImpl(const string& input, + SentenceMetadata* smeta, + const vector& weights, + Hypergraph* forest) { + Lattice lattice; + LatticeTools::ConvertTextToLattice(input, &lattice); + smeta->SetSourceLength(lattice.size()); + vector sequence(lattice.size()); + for (int i = 0; i < lattice.size(); ++i) { + assert(lattice[i].size() == 1); + sequence[i] = lattice[i][0].label; + } + pimpl_->BuildTrellis(sequence, forest); + forest->Reweight(weights); + forest->is_linear_chain_ = true; + return true; +} + diff --git a/decoder/tagger.h b/decoder/tagger.h new file mode 100644 index 00000000..9ac820d9 --- /dev/null +++ b/decoder/tagger.h @@ -0,0 +1,17 @@ +#ifndef _TAGGER_H_ +#define _TAGGER_H_ + +#include "translator.h" + +struct TaggerImpl; +struct Tagger : public Translator { + Tagger(const boost::program_options::variables_map& conf); + bool TranslateImpl(const std::string& input, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* forest); + private: + boost::shared_ptr pimpl_; +}; + +#endif diff --git a/decoder/tdict.cc b/decoder/tdict.cc new file mode 100644 index 00000000..c00d20b8 --- /dev/null +++ b/decoder/tdict.cc @@ -0,0 +1,49 @@ +#include "Ngram.h" +#include "dict.h" +#include "tdict.h" +#include "Vocab.h" + +using namespace std; + +Vocab* TD::dict_ = new Vocab; + +static const string empty; +static const string space = " "; + +WordID TD::Convert(const std::string& s) { + return dict_->addWord((VocabString)s.c_str()); +} + +const char* TD::Convert(const WordID& w) { + return dict_->getWord((VocabIndex)w); +} + +void TD::GetWordIDs(const std::vector& strings, std::vector* ids) { + ids->clear(); + for (vector::const_iterator i = strings.begin(); i != strings.end(); ++i) + ids->push_back(TD::Convert(*i)); +} + +std::string TD::GetString(const std::vector& str) { + string res; + for (vector::const_iterator i = str.begin(); i != str.end(); ++i) + res += (i == str.begin() ? empty : space) + TD::Convert(*i); + return res; +} + +void TD::ConvertSentence(const std::string& sent, std::vector* ids) { + string s = sent; + int last = 0; + ids->clear(); + for (int i=0; i < s.size(); ++i) + if (s[i] == 32 || s[i] == '\t') { + s[i]=0; + if (last != i) { + ids->push_back(Convert(&s[last])); + } + last = i + 1; + } + if (last != s.size()) + ids->push_back(Convert(&s[last])); +} + diff --git a/decoder/tdict.h b/decoder/tdict.h new file mode 100644 index 00000000..31f66367 --- /dev/null +++ b/decoder/tdict.h @@ -0,0 +1,30 @@ +#ifndef _TDICT_H_ +#define _TDICT_H_ + +#include +#include +#include "wordid.h" + +class Vocab; + +struct TD { + static Vocab* dict_; + static void ConvertSentence(const std::string& sent, std::vector* ids); + static void GetWordIDs(const std::vector& strings, std::vector* ids); + static std::string GetString(const std::vector& str); + static int AppendString(const WordID& w, int pos, int bufsize, char* buffer) { + const char* word = TD::Convert(w); + const char* const end_buf = buffer + bufsize; + char* dest = buffer + pos; + while(dest < end_buf && *word) { + *dest = *word; + ++dest; + ++word; + } + return (dest - buffer); + } + static WordID Convert(const std::string& s); + static const char* Convert(const WordID& w); +}; + +#endif diff --git a/decoder/test_data/dummy.3gram.lm b/decoder/test_data/dummy.3gram.lm new file mode 100644 index 00000000..ae665284 --- /dev/null +++ b/decoder/test_data/dummy.3gram.lm @@ -0,0 +1,2645 @@ + +\data\ +ngram 1=490 +ngram 2=1023 +ngram 3=1119 + +\1-grams: +-2.761928 ! -0.06284945 +-1.91683 " -0.03559465 +-2.761928 ' -0.06057167 +-2.159868 ( -0.07742823 +-2.159868 ) -0.05637721 +-1.292106 , -0.04497077 +-3.062958 - 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unrepresentativeness +-1.533073 your power to +-1.533073 anti-divine powers and +-1.533073 his precipitous decline +-1.533073 at precisely the +-1.533073 usual predictable factors +-1.533073 2000 presented this +-1.533073 not preserve centennial-scale +-1.533073 the previous journal +-1.533073 and principalities of +-1.533073 deeper principles in +-1.533073 a prior selection +-1.533073 even probable that +-0.8145491 divergence problem " +-1.533073 been projected into +-1.533073 never properly published +-1.533073 here prove out +-1.533073 to provide the +-1.533073 i've provided a +-1.533073 a provocative thought +-1.533073 properly published in +-1.533073 small push at +-1.533073 a rcs chronology +-1.533073 on rcs methodology +-1.533073 the rcs method +-1.533073 really react to +-1.533073 haven't read it +-1.834103 ca readers also +-1.834103 ca readers know +-1.533073 worth reading , +-1.533073 or real ) +-1.533073 don't really react +-1.533073 the realm of +-1.533073 some reason why +-1.533073 valid reason for +-1.533073 most recent one +-1.533073 most recently , +-1.533073 until recently , +-1.533073 yamal reconstruction . +-1.533073 this refusal in +-1.533073 staunchly refused to +-1.533073 is related to +-1.533073 looks relevant , +-1.533073 have relied on +-1.533073 mix religion and +-1.533073 data remained unarchived +-1.533073 commenter remarked that +-1.533073 of reposting just +-1.533073 , requiring briffa +-1.533073 in response to +-1.533073 the resulting yamal +-1.533073 in rev . +-1.533073 happening right now +-1.834103 the right place +-1.834103 the right time +-1.533073 were right . +-1.533073 between ring widths +-1.533073 17 ring-width series +-0.8145491 khadyta river , +-1.533073 conservatives said he +-1.533073 the same bias +-1.533073 larch sample should +-1.533073 and sat in +-1.533073 similar schweingruber data +-0.1249387 the schweingruber population +-1.533073 why schweingruber's khadyta +-1.533073 . science ( +-1.533073 a science article +-1.533073 and science ( +-1.533073 generating script ) +-1.533073 can see the +-1.533073 indeed see the +-1.533073 you see , +-1.533073 finally seized the +-1.834103 were selected . +-1.834103 were selected on +-1.533073 biased selection of +-1.533073 cru selection is +-1.533073 prior selection of +-1.533073 most sensitive series +-1.533073 where sensitivity is +-1.533073 individual series of +-1.533073 ring-width series , +-1.533073 sensitive series , +-1.533073 data set in +-1.533073 . several things +-1.533073 a shadow play +-1.533073 the shadows of +-1.533073 these shadows . +-2.010194 and shiyatov 2002 +-2.010194 and shiyatov themselves +-2.010194 and shiyatov would +-1.533073 sample should not +-1.533073 a similar schweingruber +-1.533073 have similarly affected +-1.533073 , since this +-1.533073 limited size and +-1.533073 i skimmed this +-1.533073 more slowly , +-1.533073 way slowly get +-1.533073 a small push +-1.533073 because so much +-1.533073 there's some reason +-1.533073 from someone whose +-1.533073 to start today +-1.533073 cru staunchly refused +-1.533073 not struggling against +-1.533073 multiproxy studies that +-1.533073 subsequent study , +-1.533073 this study . +-1.533073 i stumbled upon +-1.533073 of subfossil larches +-1.533073 the subfossil collection +-1.533073 yamal subfossil data +-1.533073 every subsequent study +-1.533073 this subset in +-1.533073 " success . +-1.533073 taymir supplement . +-1.533073 were supplemented by +-1.533073 a surface , +-1.533073 would take an +-1.533073 only taken a +-1.834103 the taymir data +-1.834103 the taymir supplement +-1.533073 and temperature , +-1.533073 ghastly tendency to +-1.533073 in terms of +-1.533073 trees than the +-1.533073 " that characterizes +-1.533073 admit that the +-1.533073 and that way +-1.533073 is that he +-1.533073 made that wise +-1.533073 method that they +-1.533073 noticed that the +-1.533073 people that voted +-1.533073 point that his +-1.533073 position that the +-1.533073 probable that the +-1.533073 remarked that " +-1.533073 studies that have +-1.533073 things that cast +-1.533073 " the trouble +-2.010194 , the more +-2.010194 , the resulting +-2.010194 , the yamal +-1.533073 . the cru +-1.834103 the subfossil +-1.834103 the yamal +-1.533073 affected the " +-1.533073 along the path +-2.010194 and the people +-2.010194 and the phil +-2.010194 and the right +-1.533073 archive the data +-1.533073 at the crossroads +-0.8145491 between the two +-1.533073 but the further +-1.834103 by the addition +-1.834103 by the magnitude +-1.533073 combine the multi-parters +-1.533073 control the national +-0.8145491 get the arkive +-1.533073 given the use +-1.533073 has the virtue +-1.533073 have the same +-1.533073 if the non-robustness +-1.834103 in the realm +-1.834103 in the schweingruber +-1.533073 including the taymir +-1.533073 into the future +-1.533073 is the most +-1.533073 makes the point +-0.8145491 of the 12 +-1.533073 on the trouble +-2.010194 perhaps the biased +-2.010194 perhaps the day +-2.010194 perhaps the difference +-1.533073 precisely the right +-1.533073 provide the measurement +-1.834103 see the far +-1.834103 see the shadows +-1.533073 seized the nettle +-1.533073 than the schweingruber +-2.135133 that the conservatives +-2.135133 that the cru +-2.135133 that the previous +-2.135133 that the yamal +-1.533073 through the very +-2.135133 to the back-and-forth +-2.135133 to the cru +-2.135133 to the large-scale +-2.135133 to the usual +-1.533073 took the position +-1.533073 up the biblical +-1.533073 used the chronology +-1.533073 using the schweingruber +-1.533073 were the longest +-1.533073 what the conservatives +-1.533073 while the yamal +-2.135133 with the information +-2.135133 with the rcs +-2.135133 with the taymir +-2.135133 with the yamal +-1.533073 wrote the following: +-1.533073 how their cores +-1.533073 shiyatov themselves , +-1.533073 they themselves were +-1.533073 perhaps there's some +-1.834103 . these data +-1.834103 . these were +-1.533073 cast these shadows +-1.533073 notwithstanding these warnings +-1.533073 and they can +-1.533073 did they expect +-1.533073 perhaps they don't +-1.533073 that they themselves +-1.533073 ) things that +-1.533073 several things caught +-1.533073 to think up +-1.533073 fully thinking through +-2.010194 , this analysis +-2.010194 , this chronology +-2.010194 , this will +-1.834103 . this bias +-1.834103 . this is +-1.533073 this morning +-1.533073 but this is +-1.533073 earlier this year +-1.533073 in this refusal +-1.533073 of this subset +-1.834103 on this difference +-1.834103 on this study +-1.533073 presented this chronology +-1.533073 since this method +-1.533073 skimmed this article +-1.533073 upon this piece +-1.533073 all those years +-1.533073 to those " +-1.533073 provocative thought . +-1.533073 a thousand , +-1.533073 thinking through the +-1.533073 a time , +-1.533073 right time and +-1.533073 approach to constructing +-1.533073 are to those +-1.533073 briffa to archive +-1.533073 but to what +-1.533073 compared to the +-1.533073 day to day +-1.533073 down to about +-1.533073 exception to the +-1.533073 going to start +-1.533073 hard to think +-1.533073 hate to admit +-1.533073 him to begin +-1.533073 just to the +-1.533073 love to get +-1.533073 power to change +-1.533073 react to what +-1.533073 refused to provide +-1.533073 related to different +-1.533073 response to the +-1.533073 tendency to mix +-1.533073 trying to control +-1.533073 where to begin +-1.533073 happens today would +-1.533073 start today . +-1.533073 ) took the +-1.533073 bias towards older +-1.834103 phil trans b +-1.834103 phil trans editors +-1.533073 old trees described +-2.010194 older trees . +-2.010194 older trees an +-2.010194 older trees than +-0.8145491 the trouble with +-1.533073 being true , +-1.533073 like trying to +-0.8145491 the two versions +-1.533073 remained unarchived . +-1.533073 arkive under control +-1.533073 an unintentional bias +-1.533073 potential unrepresentativeness of +-1.533073 , until recently +-1.533073 violence unveiled: humanity +-1.533073 looking up the +-1.533073 think up a +-1.533073 stumbled upon this +-1.533073 initial use of +-1.533073 the use of +-1.533073 " used by +-1.533073 briffa used the +-1.533073 data used in +-1.533073 got used in +-1.533073 was used in +-1.533073 , using the +-1.533073 not using . +-1.533073 the usual predictable +-1.533073 a valid reason +-1.533073 centennial-scale variability and +-1.533073 interannual variability . +-1.834103 two versions . +-1.834103 two versions is +-1.533073 it's very hard +-1.533073 the very limited +-1.533073 . violence unveiled: +-1.533073 in virtually every +-1.533073 the virtue of +-1.533073 that voted for +-1.533073 methodology warn against +-1.533073 these warnings , +-1.533073 blade was like +-1.533073 book was ghostwritten +-1.533073 chronology was used +-1.533073 data was finally +-1.533073 it was never +-1.533073 that way slowly +-1.533073 for we do +-1.533073 may well have +-1.533073 conservatives were right +-1.533073 cores were selected +-1.533073 data were supplemented +-1.533073 larches were selected +-1.533073 themselves were not +-1.533073 these were the +-1.533073 . what did +-1.533073 what a +-1.533073 changing what happens +-1.533073 doubt what paul +-1.533073 exactly what the +-1.834103 to what is +-1.834103 to what will +-1.533073 . what's your +-1.834103 , when combined +-1.834103 , when i +-1.533073 mind when he +-1.533073 , where sensitivity +-1.533073 case where it's +-1.533073 know where to +-1.533073 ( which had +-1.834103 , which , +-1.834103 , which makes +-1.533073 method which did +-1.533073 ( while looking +-1.533073 , while including +-1.533073 . while the +-1.533073 someone whose book +-1.533073 reason why schweingruber's +-1.533073 ring widths and +-1.533073 this will have +-1.533073 what will be +-1.533073 that wise crack +-1.533073 . with the +-1.533073 begin with . +-1.533073 change with a +-1.533073 chronology with its +-1.533073 combination with the +-1.533073 combined with the +-1.533073 connection with osborn +-1.533073 included with the +-1.533073 originated with briffa +-0.8145491 trouble with obama +-1.533073 is within your +-1.533073 done without fully +-1.533073 always worth reading +-1.533073 bias would not +-1.533073 he would do +-1.533073 shiyatov would not +-1.533073 today would take +-1.533073 . wright's church +-1.533073 he wrote the +-1.533073 , yamal larch +-1.533073 briffa's yamal reconstruction +-1.533073 resulting yamal chronology +-1.212489 the yamal chronology +-2.232043 the yamal data +-2.232043 the yamal measurement +-2.232043 the yamal subfossil +-1.533073 200–400 year old +-1.533073 this year , +-1.533073 those years ? +-1.533073 ' yes , +-1.533073 back-and-forth yesterday about +-1.533073 it yet , +-1.533073 ahead you see +-1.533073 what's your great +-1.533073 within your power + +\end\ diff --git a/decoder/test_data/grammar.prune b/decoder/test_data/grammar.prune new file mode 100644 index 00000000..4ebcb509 --- /dev/null +++ b/decoder/test_data/grammar.prune @@ -0,0 +1,196 @@ +[PHRASE] ||| [PHRASE,1] haus ||| [PHRASE,1] house ||| 1.86183 0 0 0 0.0211892 +[PHRASE] ||| [PHRASE,1] haus ist ||| is [PHRASE,1] house ||| 2.58883 0.311249 0 0.348455 0.0211893 +[PHRASE] ||| [PHRASE,1] haus gibt ||| is [PHRASE,1] house ||| 2.56863 0.291046 0 0.258278 0.0211893 +[PHRASE] ||| [PHRASE,1] ein haus ist ||| [PHRASE,1] is a house ||| 3.16286 0 0 0.576934 0.0211893 +[PHRASE] ||| [PHRASE,1] ist ||| [PHRASE,1] is ||| 2.94101 0 0.676694 0.348455 0 +[PHRASE] ||| [PHRASE,1] ist ||| is [PHRASE,1] ||| 2.36698 0.649056 0.102662 0.348455 0 +[PHRASE] ||| [PHRASE,1] klein ist ||| [PHRASE,1] is small ||| 2.58883 0.124939 0 0.78211 0 +[PHRASE] ||| [PHRASE,1] maus ||| [PHRASE,1] mouse ||| 2.09592 0 0 0 0 +[PHRASE] ||| [PHRASE,1] maus gibt ||| is [PHRASE,1] mouse ||| 2.44865 0 0 0.258278 0 +[PHRASE] ||| [PHRASE,1] kleines ||| [PHRASE,1] small ||| 2.94101 0.439333 0 0.579784 0 +[PHRASE] ||| [PHRASE,1] kleines haus ||| [PHRASE,1] small house ||| 3.24204 0 0 0.579784 0.0211893 +[PHRASE] ||| [PHRASE,1] kleines haus gibt ||| is [PHRASE,1] small house ||| 3.30899 0 0 0.838062 0.0211893 +[PHRASE] ||| [PHRASE,1] kleine ||| [PHRASE,1] small ||| 2.94101 0.439333 0 0.500602 0 +[PHRASE] ||| [PHRASE,1] kleine maus ||| [PHRASE,1] small mouse ||| 3.24204 0 0 0.500602 0 +[PHRASE] ||| [PHRASE,1] kleine maus gibt ||| is [PHRASE,1] small mouse ||| 3.30899 0 0 0.75888 0 +[PHRASE] ||| [PHRASE,1] gelb ||| [PHRASE,1] yellow ||| 2.63998 0 0 0 0 +[PHRASE] ||| [PHRASE,1] gelb haus ||| [PHRASE,1] yellow house ||| 3.24204 0 0 0 0.0211893 +[PHRASE] ||| [PHRASE,1] gelb haus gibt ||| is [PHRASE,1] yellow house ||| 3.30899 0 0 0.258278 0.0211893 +[PHRASE] ||| [PHRASE,1] gelb maus ||| [PHRASE,1] yellow mouse ||| 3.24204 0 0 0 0 +[PHRASE] ||| [PHRASE,1] gelb maus gibt ||| is [PHRASE,1] yellow mouse ||| 3.30899 0 0 0.258278 0 +[PHRASE] ||| [PHRASE,1] gibt ||| is [PHRASE,1] ||| 1.82827 0.110339 0 0.258278 0 +[PHRASE] ||| haus ||| small yellow mouse house ||| 2.46389 0.845098 1.30103 0.278754 1.34341 +[PHRASE] ||| haus ||| house ||| Phrase_0=1.18514 Phrase_2=0.0222764 Phrase_4=0.0211893 +[PHRASE] ||| haus [PHRASE,1] ||| house [PHRASE,1] ||| 2.2878 0 0 0 0.0211893 +[PHRASE] ||| haus ist ||| house is ||| 2.46389 0 0 0.348455 0.0211893 +[PHRASE] ||| haus klein ist ||| house is small ||| 2.2878 0 0 0.78211 0.0211893 +[PHRASE] ||| ein ||| a ||| Phrase_0=1.34995 Phrase_1=0.228479 Phrase_3=0.228479 +[PHRASE] ||| ein [PHRASE,1] ||| a [PHRASE,1] ||| 2.03792 0.290035 0 0.228479 0 +[PHRASE] ||| ein [PHRASE,1] haus ||| a [PHRASE,1] house ||| 2.94101 0 0 0.228479 0.0211893 +[PHRASE] ||| ein [PHRASE,1] haus gibt ||| is a [PHRASE,1] house ||| 3.00796 0 0 0.486757 0.0211893 +[PHRASE] ||| ein [PHRASE,1] ist ||| is a [PHRASE,1] ||| 2.58883 0.535113 0 0.576934 0 +[PHRASE] ||| ein [PHRASE,1] gibt ||| is a [PHRASE,1] ||| 2.56863 0.51491 0 0.486757 0 +[PHRASE] ||| ein haus ||| a house ||| 1.76492 0 0.0791813 0.228479 0.0211893 +[PHRASE] ||| ein haus ||| a small house ||| 2.46389 0.30103 0.778151 0.507233 1.34341 +[PHRASE] ||| ein haus ist ||| is a house ||| 2.76492 0.477121 0 0.576934 0.0211893 +[PHRASE] ||| ein haus gibt ||| is a house ||| 2.46389 0.176091 0.176091 0.486757 0.0211893 +[PHRASE] ||| ein haus gibt ||| is a small house ||| 2.76492 0.39794 0.477121 0.765511 1.34341 +[PHRASE] ||| ein kleines ||| a small ||| 1.86183 0.243038 0 0.808263 0 +[PHRASE] ||| ein kleines [PHRASE,1] ||| a small [PHRASE,1] ||| 3.24204 0.30103 0 0.808263 0 +[PHRASE] ||| ein kleines [PHRASE,1] gibt ||| is a small [PHRASE,1] ||| 3.30899 0.30103 0 1.06654 0 +[PHRASE] ||| ein kleines haus ||| a small house ||| 2.46389 0.30103 0 0.808263 0.0211893 +[PHRASE] ||| ein kleines haus ist ||| is a small house ||| 2.76492 0.39794 0 1.15672 0.0211893 +[PHRASE] ||| ein kleines haus gibt ||| is a small house ||| 3.06595 0.69897 0 1.06654 0.0211893 +[PHRASE] ||| ein kleines gelb ||| a small yellow ||| 2.94101 0.30103 0 0.808263 0 +[PHRASE] ||| ein kleines gelb haus ||| a small yellow house ||| 3.24204 0 0 0.808263 0.0211893 +[PHRASE] ||| ein kleines gelb haus gibt ||| is a small yellow house ||| 3.30899 0 0 1.06654 0.0211893 +[PHRASE] ||| ein gelb ||| a yellow ||| 1.98677 0.221849 0 0.228479 0 +[PHRASE] ||| ein gelb [PHRASE,1] ||| a yellow [PHRASE,1] ||| 3.24204 0.30103 0 0.228479 0 +[PHRASE] ||| ein gelb [PHRASE,1] gibt ||| is a yellow [PHRASE,1] ||| 3.30899 0.30103 0 0.486757 0 +[PHRASE] ||| ein gelb haus ||| a yellow house ||| 2.63998 0 0 0.228479 0.0211893 +[PHRASE] ||| ein gelb haus ist ||| is a yellow house ||| 3.06595 0.30103 0 0.576934 0.0211893 +[PHRASE] ||| ein gelb haus gibt ||| is a yellow house ||| 3.06595 0.30103 0 0.486757 0.0211893 +[PHRASE] ||| ein gelb kleines ||| a yellow small ||| 2.94101 0.30103 0 0.808263 0 +[PHRASE] ||| ein gelb kleines haus ||| a yellow small house ||| 3.24204 0 0 0.808263 0.0211893 +[PHRASE] ||| ein gelb kleines haus gibt ||| is a yellow small house ||| 3.30899 0 0 1.06654 0.0211893 +[PHRASE] ||| ist ||| is ||| 1.34995 0.348455 0 0.348455 0 +[PHRASE] ||| klein ||| small ||| 1.61879 0.410174 0 0.433656 0 +[PHRASE] ||| klein [PHRASE,1] ||| [PHRASE,1] small ||| 3.06595 0.564271 0 0.433656 0 +[PHRASE] ||| klein [PHRASE,1] ist ||| [PHRASE,1] is small ||| 3.06595 0.60206 0 0.78211 0 +[PHRASE] ||| klein ist ||| is small ||| 1.68574 0 0 0.78211 0 +[PHRASE] ||| klein das [PHRASE,1] ||| the [PHRASE,1] small ||| 3.06595 0 0 0.433656 0.30103 +[PHRASE] ||| klein das haus ist ||| the house is small ||| 3.06595 0.477121 0 0.78211 0.322219 +[PHRASE] ||| maus ||| mouse ||| 1.50965 0 0 0 0 +[PHRASE] ||| maus [PHRASE,1] ||| mouse [PHRASE,1] ||| 2.94101 0 0 0 0 +[PHRASE] ||| maus [PHRASE,1] ist ||| mouse is [PHRASE,1] ||| 2.94101 0 0 0.348455 0 +[PHRASE] ||| maus ein haus ist ||| mouse is a house ||| 2.94101 0 0 0.576934 0.0211893 +[PHRASE] ||| kleines ||| small ||| 1.76492 0.556302 0 0.579784 0 +[PHRASE] ||| kleines [PHRASE,1] ||| small [PHRASE,1] ||| 2.94101 0.30103 0 0.579784 0 +[PHRASE] ||| kleines haus ||| small house ||| 1.86183 0.243038 0 0.579784 0.0211893 +[PHRASE] ||| kleines gelb ||| small yellow ||| 2.46389 0.30103 0 0.579784 0 +[PHRASE] ||| kleines gelb haus ||| small yellow house ||| 2.94101 0 0 0.579784 0.0211893 +[PHRASE] ||| kleine ||| small ||| 1.68574 0.477121 0 0.500602 0 +[PHRASE] ||| kleine [PHRASE,1] ||| small [PHRASE,1] ||| 2.94101 0.30103 0 0.500602 0 +[PHRASE] ||| kleine haus ||| small house ||| 2.16286 0.544068 0 0.500602 0.0211893 +[PHRASE] ||| kleine maus ||| small mouse ||| 1.98677 0 0 0.500602 0 +[PHRASE] ||| kleine gelb ||| small yellow ||| 2.46389 0.30103 0 0.500602 0 +[PHRASE] ||| kleine gelb maus ||| small yellow mouse ||| 2.94101 0 0 0.500602 0 +[PHRASE] ||| gelb ||| yellow ||| 1.61879 0 0 0 0 +[PHRASE] ||| gelb [PHRASE,1] ||| yellow [PHRASE,1] ||| 2.63998 0 0 0 0 +[PHRASE] ||| gelb haus ||| yellow house ||| 1.98677 0 0 0 0.0211893 +[PHRASE] ||| gelb maus ||| yellow mouse ||| 2.16286 0 0 0 0 +[PHRASE] ||| gelb kleines ||| yellow small ||| 2.46389 0.30103 0 0.579784 0 +[PHRASE] ||| gelb kleines haus ||| yellow small house ||| 2.94101 0 0 0.579784 0.0211893 +[PHRASE] ||| gelb kleine ||| yellow small ||| 2.46389 0.30103 0 0.500602 0 +[PHRASE] ||| gelb kleine maus ||| yellow small mouse ||| 2.94101 0 0 0.500602 0 +[PHRASE] ||| eine ||| a ||| 1.50965 0.38818 0 0.38818 0 +[PHRASE] ||| eine [PHRASE,1] ||| a [PHRASE,1] ||| 2.0602 0.312311 0 0.38818 0 +[PHRASE] ||| eine [PHRASE,1] maus ||| a [PHRASE,1] mouse ||| 2.94101 0 0 0.38818 0 +[PHRASE] ||| eine [PHRASE,1] maus gibt ||| is a [PHRASE,1] mouse ||| 3.00796 0 0 0.646458 0 +[PHRASE] ||| eine [PHRASE,1] gibt ||| is a [PHRASE,1] ||| 2.44865 0.394934 0 0.646458 0 +[PHRASE] ||| eine maus ||| a mouse ||| 1.98677 0 0 0.38818 0 +[PHRASE] ||| eine maus [PHRASE,1] ||| a mouse [PHRASE,1] ||| 3.16286 0 0 0.38818 0 +[PHRASE] ||| eine maus [PHRASE,1] ist ||| a mouse is [PHRASE,1] ||| 3.16286 0 0 0.736635 0 +[PHRASE] ||| eine maus ein haus ist ||| a mouse is a house ||| 3.16286 0 0 0.965114 0.0211893 +[PHRASE] ||| eine maus gibt ||| is a mouse ||| 2.46389 0 0 0.646458 0 +[PHRASE] ||| eine kleine ||| a small ||| 1.98677 0.367977 0 0.888783 0 +[PHRASE] ||| eine kleine [PHRASE,1] ||| a small [PHRASE,1] ||| 3.24204 0.30103 0 0.888783 0 +[PHRASE] ||| eine kleine [PHRASE,1] gibt ||| is a small [PHRASE,1] ||| 3.30899 0.30103 0 1.14706 0 +[PHRASE] ||| eine kleine maus ||| a small mouse ||| 2.63998 0 0 0.888783 0 +[PHRASE] ||| eine kleine maus gibt ||| is a small mouse ||| 2.76492 0 0 1.14706 0 +[PHRASE] ||| eine kleine gelb ||| a small yellow ||| 2.94101 0.30103 0 0.888783 0 +[PHRASE] ||| eine kleine gelb maus ||| a small yellow mouse ||| 3.24204 0 0 0.888783 0 +[PHRASE] ||| eine kleine gelb maus gibt ||| is a small yellow mouse ||| 3.30899 0 0 1.14706 0 +[PHRASE] ||| eine gelb ||| a yellow ||| 2.16286 0.39794 0 0.38818 0 +[PHRASE] ||| eine gelb [PHRASE,1] ||| a yellow [PHRASE,1] ||| 3.24204 0.30103 0 0.38818 0 +[PHRASE] ||| eine gelb [PHRASE,1] gibt ||| is a yellow [PHRASE,1] ||| 3.30899 0.30103 0 0.646458 0 +[PHRASE] ||| eine gelb maus ||| a yellow mouse ||| 2.94101 0 0 0.38818 0 +[PHRASE] ||| eine gelb maus gibt ||| is a yellow mouse ||| 3.06595 0 0 0.646458 0 +[PHRASE] ||| eine gelb kleine ||| a yellow small ||| 2.94101 0.30103 0 0.888783 0 +[PHRASE] ||| eine gelb kleine maus ||| a yellow small mouse ||| 3.24204 0 0 0.888783 0 +[PHRASE] ||| eine gelb kleine maus gibt ||| is a yellow small mouse ||| 3.30899 0 0 1.14706 0 +[PHRASE] ||| eine gruen ||| a green ||| 2.46389 0 0 0.38818 0 +[PHRASE] ||| eine gruen maus ||| a green mouse ||| 2.94101 0 0 0.38818 0 +[PHRASE] ||| gruen ||| green ||| 2.16286 0 0 0 0 +[PHRASE] ||| gruen maus ||| green mouse ||| 2.46389 0 0 0 0 +[PHRASE] ||| tages ||| day ||| 2.46389 0 0 0 0 +[PHRASE] ||| gibt ||| is ||| 1.25977 0.258278 0 0.258278 0 +[PHRASE] ||| meins ||| mine ||| 2.16286 0 0 0 0 +[PHRASE] ||| meins [PHRASE,1] ||| mine [PHRASE,1] ||| 2.76492 0 0 0 0 +[PHRASE] ||| meins ist ||| is mine ||| 2.46389 0 0 0.348455 0 +[PHRASE] ||| meins klein ist ||| mine is small ||| 2.76492 0 0 0.78211 0 +[PHRASE] ||| geld ||| money ||| 1.98677 0 0 0 0 +[PHRASE] ||| geld ist ||| is money ||| 2.46389 0.30103 0 0.348455 0 +[PHRASE] ||| geld gibt ||| is money ||| 2.46389 0.30103 0 0.258278 0 +[PHRASE] ||| keins ||| none ||| 1.98677 0 0 0 0 +[PHRASE] ||| keins [PHRASE,1] ||| none [PHRASE,1] ||| 2.76492 0 0 0 0 +[PHRASE] ||| keins klein ist ||| none is small ||| 2.76492 0 0 0.78211 0 +[PHRASE] ||| keins gibt ||| is none ||| 2.46389 0 0 0.258278 0 +[PHRASE] ||| dem haeuschen ||| of control ||| 2.46389 0 0 0.681241 0.425969 +[PHRASE] ||| eines ||| one ||| 2.46389 0.30103 0 0.30103 0 +[PHRASE] ||| eines tages ||| one day ||| 2.46389 0 0 0.30103 0 +[PHRASE] ||| eins ||| one ||| 2.46389 0.30103 0 0.30103 0 +[PHRASE] ||| aus ||| out ||| 2.46389 0 0.477121 0 0.221849 +[PHRASE] ||| aus ||| out of ||| 2.16286 0 0.176091 0.0791812 0.619789 +[PHRASE] ||| aus [PHRASE,1] ||| out [PHRASE,1] ||| 2.76492 0 0.367977 0 0.221849 +[PHRASE] ||| aus [PHRASE,1] ||| out of [PHRASE,1] ||| 2.63998 0 0.243038 0.0791812 0.619789 +[PHRASE] ||| aus ein ||| out of a ||| 2.46389 0 0 0.307661 0.619789 +[PHRASE] ||| aus ein haus ||| out of a house ||| 2.94101 0 0 0.307661 0.640978 +[PHRASE] ||| aus dem haeuschen ||| out of control ||| 2.76492 0 0 0.681241 0.647817 +[PHRASE] ||| aus das ||| out of the ||| 2.46389 0 0 0.0791812 0.920819 +[PHRASE] ||| aus das haus ||| out of the house ||| 2.94101 0 0 0.0791812 0.942008 +[PHRASE] ||| das ||| the ||| 1.76492 0 0.30103 0 0.30103 +[PHRASE] ||| das ||| that ||| 1.76492 0 0.30103 0 0.30103 +[PHRASE] ||| das [PHRASE,1] ||| the [PHRASE,1] ||| 2.39695 0 0.41972 0 0.30103 +[PHRASE] ||| das [PHRASE,1] ||| that [PHRASE,1] ||| 2.18514 0 0.207913 0 0.30103 +[PHRASE] ||| das [PHRASE,1] haus ist ||| that is [PHRASE,1] house ||| 2.86183 0 0 0.348455 0.322219 +[PHRASE] ||| das [PHRASE,1] ist ||| that is [PHRASE,1] ||| 2.86183 0 0 0.348455 0.30103 +[PHRASE] ||| das haus ||| the house ||| 1.86183 0 0 0 0.322219 +[PHRASE] ||| das haus [PHRASE,1] ||| the house [PHRASE,1] ||| 2.76492 0 0 0 0.322219 +[PHRASE] ||| das haus ist ||| the house is ||| 2.94101 0 0 0.348455 0.322219 +[PHRASE] ||| das haus klein ist ||| the house is small ||| 2.76492 0.176091 0 0.78211 0.322219 +[PHRASE] ||| das ein [PHRASE,1] ist ||| that is a [PHRASE,1] ||| 2.86183 0 0 0.576934 0.30103 +[PHRASE] ||| das ein kleines haus ist ||| that is a small house ||| 3.16286 0 0 1.15672 0.322219 +[PHRASE] ||| das ein gelb haus ist ||| that is a yellow house ||| 3.16286 0 0 0.576934 0.322219 +[PHRASE] ||| das klein ist ||| that is small ||| 2.76492 0 0 0.78211 0.30103 +[PHRASE] ||| das kleine ||| the small ||| 2.46389 0 0 0.500602 0.30103 +[PHRASE] ||| das kleine haus ||| the small house ||| 2.94101 0 0 0.500602 0.322219 +[PHRASE] ||| das meins ist ||| that is mine ||| 2.76492 0 0 0.348455 0.30103 +[PHRASE] ||| das geld ist ||| that is money ||| 2.76492 0 0 0.348455 0.30103 +[PHRASE] ||| es ||| there ||| 1.25977 0 0 0 0 +[PHRASE] ||| es [PHRASE,1] ||| there [PHRASE,1] ||| 1.83672 0 0 0 0 +[PHRASE] ||| es [PHRASE,1] haus gibt ||| there is [PHRASE,1] house ||| 2.62775 0 0 0.258278 0.0211893 +[PHRASE] ||| es [PHRASE,1] maus gibt ||| there is [PHRASE,1] mouse ||| 2.5166 0 0 0.258278 0 +[PHRASE] ||| es [PHRASE,1] kleines haus gibt ||| there is [PHRASE,1] small house ||| 3.30899 0 0 0.838062 0.0211893 +[PHRASE] ||| es [PHRASE,1] kleine maus gibt ||| there is [PHRASE,1] small mouse ||| 3.30899 0 0 0.75888 0 +[PHRASE] ||| es [PHRASE,1] gelb haus gibt ||| there is [PHRASE,1] yellow house ||| 3.30899 0 0 0.258278 0.0211893 +[PHRASE] ||| es [PHRASE,1] gelb maus gibt ||| there is [PHRASE,1] yellow mouse ||| 3.30899 0 0 0.258278 0 +[PHRASE] ||| es [PHRASE,1] gibt ||| there is [PHRASE,1] ||| 1.9536 0 0 0.258278 0 +[PHRASE] ||| es ein [PHRASE,1] haus gibt ||| there is a [PHRASE,1] house ||| 3.00796 0 0 0.486757 0.0211893 +[PHRASE] ||| es ein [PHRASE,1] gibt ||| there is a [PHRASE,1] ||| 2.62775 0.360151 0 0.486757 0 +[PHRASE] ||| es ein haus gibt ||| there is a house ||| 2.63998 0 0.176091 0.486757 0.0211893 +[PHRASE] ||| es ein haus gibt ||| there is a small house ||| 2.94101 0.20412 0.477121 0.765511 1.34341 +[PHRASE] ||| es ein kleines [PHRASE,1] gibt ||| there is a small [PHRASE,1] ||| 3.30899 0.30103 0 1.06654 0 +[PHRASE] ||| es ein kleines haus gibt ||| there is a small house ||| 3.16286 0.425969 0 1.06654 0.0211893 +[PHRASE] ||| es ein gelb [PHRASE,1] gibt ||| there is a yellow [PHRASE,1] ||| 3.30899 0.30103 0 0.486757 0 +[PHRASE] ||| es ein gelb haus gibt ||| there is a yellow house ||| 3.16286 0 0 0.486757 0.0211893 +[PHRASE] ||| es eine [PHRASE,1] maus gibt ||| there is a [PHRASE,1] mouse ||| 3.00796 0 0 0.646458 0 +[PHRASE] ||| es eine [PHRASE,1] gibt ||| there is a [PHRASE,1] ||| 2.5166 0.249001 0 0.646458 0 +[PHRASE] ||| es eine maus gibt ||| there is a mouse ||| 2.63998 0 0 0.646458 0 +[PHRASE] ||| es eine kleine [PHRASE,1] gibt ||| there is a small [PHRASE,1] ||| 3.30899 0.30103 0 1.14706 0 +[PHRASE] ||| es eine kleine maus gibt ||| there is a small mouse ||| 2.86183 0 0 1.14706 0 +[PHRASE] ||| es eine gelb [PHRASE,1] gibt ||| there is a yellow [PHRASE,1] ||| 3.30899 0.30103 0 0.646458 0 +[PHRASE] ||| es eine gelb maus gibt ||| there is a yellow mouse ||| 3.16286 0 0 0.646458 0 +[PHRASE] ||| es geld gibt ||| there is money ||| 2.76492 0 0 0.258278 0 +[PHRASE] ||| es keins gibt ||| there is none ||| 2.76492 0 0 0.258278 0 +[PHRASE] ||| dieses ||| this ||| 1.98677 0 0 0 0 +[PHRASE] ||| dieses [PHRASE,1] ||| this [PHRASE,1] ||| 2.56995 0 0 0 0 +[PHRASE] ||| dieses [PHRASE,1] haus ist ||| this is [PHRASE,1] house ||| 3.16286 0 0 0.348455 0.0211893 +[PHRASE] ||| dieses [PHRASE,1] ist ||| this is [PHRASE,1] ||| 3.16286 0 0 0.348455 0 +[PHRASE] ||| dieses haus ||| this house ||| 2.46389 0 0 0 0.0211893 +[PHRASE] ||| dieses haus [PHRASE,1] ||| this house [PHRASE,1] ||| 3.06595 0 0 0 0.0211893 +[PHRASE] ||| dieses haus klein ist ||| this house is small ||| 3.06595 0 0 0.78211 0.0211893 +[PHRASE] ||| dieses ein [PHRASE,1] ist ||| this is a [PHRASE,1] ||| 3.16286 0 0 0.576934 0 +[PHRASE] ||| dieses ein kleines haus ist ||| this is a small house ||| 3.16286 0 0 1.15672 0.0211893 +[PHRASE] ||| dieses kleine ||| this small ||| 2.46389 0 0 0.500602 0 +[PHRASE] ||| dieses kleine haus ||| this small house ||| 2.94101 0 0 0.500602 0.0211893 diff --git a/decoder/test_data/small.json.gz b/decoder/test_data/small.json.gz new file mode 100644 index 00000000..892ba360 Binary files /dev/null and b/decoder/test_data/small.json.gz differ diff --git a/decoder/test_data/test_2gram.lm.gz b/decoder/test_data/test_2gram.lm.gz new file mode 100644 index 00000000..aafa7274 Binary files /dev/null and b/decoder/test_data/test_2gram.lm.gz differ diff --git a/decoder/test_data/weights b/decoder/test_data/weights new file mode 100644 index 00000000..ea70229c --- /dev/null +++ b/decoder/test_data/weights @@ -0,0 +1,8 @@ +# hiero +WordPenalty -0.387029 +LanguageModel 0.253195 +PhraseModel_0 0.142926 +PhraseModel_1 0.465119 +PhraseModel_2 0.079503 +CNPosteriorProbability 0.09259 +Inf -inf diff --git a/decoder/test_data/weights.gt b/decoder/test_data/weights.gt new file mode 100644 index 00000000..08931049 --- /dev/null +++ b/decoder/test_data/weights.gt @@ -0,0 +1,4 @@ +Phrase_0 1.0 +Phrase_1 0.5 +Phrase_2 0.3 +Phrase_3 0.2 diff --git a/decoder/timing_stats.cc b/decoder/timing_stats.cc new file mode 100644 index 00000000..85b95de5 --- /dev/null +++ b/decoder/timing_stats.cc @@ -0,0 +1,24 @@ +#include "timing_stats.h" + +#include + +using namespace std; + +map Timer::stats; + +Timer::Timer(const string& timername) : start_t(clock()), cur(stats[timername]) {} + +Timer::~Timer() { + ++cur.calls; + const clock_t end_t = clock(); + const double elapsed = (end_t - start_t) / 1000000.0; + cur.total_time += elapsed; +} + +void Timer::Summarize() { + for (map::iterator it = stats.begin(); it != stats.end(); ++it) { + cerr << it->first << ": " << it->second.total_time << " secs (" << it->second.calls << " calls)\n"; + } + stats.clear(); +} + diff --git a/decoder/timing_stats.h b/decoder/timing_stats.h new file mode 100644 index 00000000..0a9f7656 --- /dev/null +++ b/decoder/timing_stats.h @@ -0,0 +1,25 @@ +#ifndef _TIMING_STATS_H_ +#define _TIMING_STATS_H_ + +#include +#include + +struct TimerInfo { + int calls; + double total_time; + TimerInfo() : calls(), total_time() {} +}; + +struct Timer { + Timer(const std::string& info); + ~Timer(); + static void Summarize(); + private: + static std::map stats; + clock_t start_t; + TimerInfo& cur; + Timer(const Timer& other); + const Timer& operator=(const Timer& other); +}; + +#endif diff --git a/decoder/translator.cc b/decoder/translator.cc new file mode 100644 index 00000000..e6c282e1 --- /dev/null +++ b/decoder/translator.cc @@ -0,0 +1,57 @@ +#include "translator.h" + +#include +#include + +using namespace std; + +Translator::~Translator() {} + +void Translator::ProcessMarkupHints(const map& kv) { + if (state_ != kUninitialized) { + cerr << "Translator::ProcessMarkupHints in wrong state: " << state_ << endl; + abort(); + } + ProcessMarkupHintsImpl(kv); + state_ = kReadyToTranslate; +} + +bool Translator::Translate(const std::string& src, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* minus_lm_forest) { + if (state_ == kUninitialized) { + cerr << "Translator::Translate(...) must not be in uninitialized state!\n"; + abort(); + } + const bool result = TranslateImpl(src, smeta, weights, minus_lm_forest); + state_ = kTranslated; + return result; +} + +void Translator::SentenceComplete() { + if (state_ != kTranslated) { + cerr << "Translator::Complete in unexpected state: " << state_ << endl; + // not fatal + } + SentenceCompleteImpl(); + state_ = kUninitialized; // return to start state +} + +// this may be overridden by translators that want to accept +// metadata +void Translator::ProcessMarkupHintsImpl(const map& kv) { + int unprocessed = kv.size() - kv.count("id"); + cerr << "Inside translator process hints\n"; + if (unprocessed > 0) { + cerr << "Sentence markup contains unprocessed data:\n"; + for (map::const_iterator it = kv.begin(); it != kv.end(); ++it) { + if (it->first == "id") continue; + cerr << " KEY[" << it->first << "] --> " << it->second << endl; + } + abort(); + } +} + +void Translator::SentenceCompleteImpl() {} + diff --git a/decoder/translator.h b/decoder/translator.h new file mode 100644 index 00000000..6b0a02e4 --- /dev/null +++ b/decoder/translator.h @@ -0,0 +1,82 @@ +#ifndef _TRANSLATOR_H_ +#define _TRANSLATOR_H_ + +#include +#include +#include +#include +#include + +class Hypergraph; +class SentenceMetadata; + +// Workflow: for each sentence to be translated +// 1) call ProcessMarkupHints(markup) +// 2) call Translate(...) +// 3) call SentenceComplete() +class Translator { + public: + Translator() : state_(kUninitialized) {} + virtual ~Translator(); + // returns true if goal reached, false otherwise + // minus_lm_forest will contain the unpruned forest. the + // feature values from the phrase table / grammar / etc + // should be in the forest already - the "late" features + // should not just copy values that are available without + // any context or computation. + // SentenceMetadata contains information about the sentence, + // but it is an input/output parameter since the Translator + // is also responsible for setting the value of src_len. + bool Translate(const std::string& src, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* minus_lm_forest); + + // This is called before Translate(...) with the sentence- + // level markup passed in. This can be used to set sentence- + // specific behavior of the translator. + void ProcessMarkupHints(const std::map& kv); + + // Free any sentence-specific resources + void SentenceComplete(); + protected: + virtual bool TranslateImpl(const std::string& src, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* minus_lm_forest) = 0; + virtual void ProcessMarkupHintsImpl(const std::map& kv); + virtual void SentenceCompleteImpl(); + private: + enum State { kUninitialized, kReadyToTranslate, kTranslated }; + State state_; +}; + +class SCFGTranslatorImpl; +class SCFGTranslator : public Translator { + public: + SCFGTranslator(const boost::program_options::variables_map& conf); + protected: + bool TranslateImpl(const std::string& src, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* minus_lm_forest); + void ProcessMarkupHintsImpl(const std::map& kv); + void SentenceCompleteImpl(); + private: + boost::shared_ptr pimpl_; +}; + +class FSTTranslatorImpl; +class FSTTranslator : public Translator { + public: + FSTTranslator(const boost::program_options::variables_map& conf); + private: + bool TranslateImpl(const std::string& src, + SentenceMetadata* smeta, + const std::vector& weights, + Hypergraph* minus_lm_forest); + private: + boost::shared_ptr pimpl_; +}; + +#endif diff --git a/decoder/tromble_loss.cc b/decoder/tromble_loss.cc new file mode 100644 index 00000000..9ebd8ab1 --- /dev/null +++ b/decoder/tromble_loss.cc @@ -0,0 +1,309 @@ +#include "tromble_loss.h" + +#include +#include +#include +#include +#include +#include +#include + +#include +#include +#include + +#include "sentence_metadata.h" +#include "trule.h" +#include "tdict.h" + +using namespace std; + +namespace { + +typedef unsigned char GramCount; + +struct RefCounts { + GramCount max; + std::vector refs; + size_t length; +}; + +typedef boost::unordered_map, size_t, boost::hash > > NGramMap; + +// Take all the n-grams in the references and stuff them into ngrams. +void MakeNGramMapFromReferences(const vector > &references, + int n, + vector *counts, + NGramMap *ngrams) { + ngrams->clear(); + std::pair, size_t> insert_me; + vector &ngram = insert_me.first; + ngram.reserve(n); + size_t &id = insert_me.second; + id = 0; + for (int refi = 0; refi < references.size(); ++refi) { + const vector& ref = references[refi]; + const int s = ref.size(); + for (int j=0; j ret(ngrams->insert(insert_me)); + if (ret.second) { + counts->resize(id + 1); + RefCounts &ref_counts = counts->back(); + ref_counts.max = 1; + ref_counts.refs.resize(references.size()); + ref_counts.refs[refi] = 1; + ref_counts.length = ngram.size(); + ++id; + } else { + RefCounts &ref_counts = (*counts)[ret.first->second]; + ref_counts.max = std::max(ref_counts.max, ++ref_counts.refs[refi]); + } + } + } + } +} + +struct MutableState { + MutableState(void *from, size_t n) : length(reinterpret_cast(from)), left(reinterpret_cast(length + 1)), right(left + n - 1), counts(reinterpret_cast(right + n - 1)) {} + size_t *length; + WordID *left, *right; + GramCount *counts; + static size_t Size(size_t n, size_t bound_ngram_id) { return sizeof(size_t) + (n - 1) * 2 * sizeof(WordID) + bound_ngram_id * sizeof(GramCount); } +}; + +struct ConstState { + ConstState(const void *from, size_t n) : length(reinterpret_cast(from)), left(reinterpret_cast(length + 1)), right(left + n - 1), counts(reinterpret_cast(right + n - 1)) {} + const size_t *length; + const WordID *left, *right; + const GramCount *counts; + static size_t Size(size_t n, size_t bound_ngram_id) { return sizeof(size_t) + (n - 1) * 2 * sizeof(WordID) + bound_ngram_id * sizeof(GramCount); } +}; + +template struct CompatibleHashRange : public std::unary_function &, size_t> { + size_t operator()(const boost::iterator_range &range) const { + return boost::hash_range(range.begin(), range.end()); + } +}; + +template struct CompatibleEqualsRange : public std::binary_function &, const std::vector &, size_t> { + size_t operator()(const boost::iterator_range &range, const std::vector &vec) const { + return boost::algorithm::equals(range, vec); + } + size_t operator()(const std::vector &vec, const boost::iterator_range &range) const { + return boost::algorithm::equals(range, vec); + } +}; + +void AddWord(const boost::circular_buffer &segment, size_t min_length, const NGramMap &ref_grams, GramCount *counters) { + typedef boost::circular_buffer::const_iterator BufferIt; + typedef boost::iterator_range SegmentRange; + if (segment.size() < min_length) return; +#if 0 + CompatibleHashRange hasher; + CompatibleEqualsRange equals; + for (BufferIt seg_start(segment.end() - min_length); ; --seg_start) { + NGramMap::const_iterator found = ref_grams.find(SegmentRange(seg_start, segment.end())); + if (found == ref_grams.end()) break; + ++counters[found->second]; + if (seg_start == segment.begin()) break; + } +#endif +} + +} // namespace + +class TrombleLossComputerImpl { + public: + explicit TrombleLossComputerImpl(const std::string ¶ms) : star_(TD::Convert("<{STAR}>")) { + typedef boost::tokenizer > Tokenizer; + // Argument parsing + std::string ref_file_name; + Tokenizer tok(params, boost::char_separator(" ")); + Tokenizer::iterator i = tok.begin(); + if (i == tok.end()) { + std::cerr << "TrombleLossComputer needs a reference file name." << std::endl; + exit(1); + } + ref_file_name = *i++; + if (i == tok.end()) { + std::cerr << "TrombleLossComputer needs to know how many references." << std::endl; + exit(1); + } + num_refs_ = boost::lexical_cast(*i++); + for (; i != tok.end(); ++i) { + thetas_.push_back(boost::lexical_cast(*i)); + } + if (thetas_.empty()) { + std::cerr << "TrombleLossComputer is pointless with no weight on n-grams." << std::endl; + exit(1); + } + + // Read references file. + std::ifstream ref_file(ref_file_name.c_str()); + if (!ref_file) { + std::cerr << "Could not open TrombleLossComputer file " << ref_file_name << std::endl; + exit(1); + } + std::string ref; + vector > references(num_refs_); + bound_ngram_id_ = 0; + for (unsigned int sentence = 0; ref_file; ++sentence) { + for (unsigned int refidx = 0; refidx < num_refs_; ++refidx) { + if (!getline(ref_file, ref)) { + if (refidx == 0) break; + std::cerr << "Short read of " << refidx << " references for sentence " << sentence << std::endl; + exit(1); + } + TD::ConvertSentence(ref, &references[refidx]); + } + ref_ids_.resize(sentence + 1); + ref_counts_.resize(sentence + 1); + MakeNGramMapFromReferences(references, thetas_.size(), &ref_counts_.back(), &ref_ids_.back()); + bound_ngram_id_ = std::max(bound_ngram_id_, ref_ids_.back().size()); + } + } + + size_t StateSize() const { + // n-1 boundary words plus counts for n-grams currently rendered as bytes even though most would fit in bits. + // Also, this is cached by higher up classes so no need to cache here. + return MutableState::Size(thetas_.size(), bound_ngram_id_); + } + + double Traversal( + const SentenceMetadata &smeta, + const TRule &rule, + const vector &ant_contexts, + void *out_context) const { + // TODO: get refs from sentence metadata. + // This will require resizable features. + if (smeta.GetSentenceID() >= ref_ids_.size()) { + std::cerr << "Sentence ID " << smeta.GetSentenceID() << " doesn't have references; there are only " << ref_ids_.size() << " references." << std::endl; + exit(1); + } + const NGramMap &ngrams = ref_ids_[smeta.GetSentenceID()]; + MutableState out_state(out_context, thetas_.size()); + memset(out_state.counts, 0, bound_ngram_id_ * sizeof(GramCount)); + boost::circular_buffer history(thetas_.size()); + std::vector::const_iterator ant_context = ant_contexts.begin(); + *out_state.length = 0; + size_t pushed = 0; + const size_t keep = thetas_.size() - 1; + for (vector::const_iterator rhs = rule.e().begin(); rhs != rule.e().end(); ++rhs) { + if (*rhs < 1) { + assert(ant_context != ant_contexts.end()); + // Constituent + ConstState rhs_state(*ant_context, thetas_.size()); + *out_state.length += *rhs_state.length; + { + GramCount *accum = out_state.counts; + for (const GramCount *c = rhs_state.counts; c != rhs_state.counts + ngrams.size(); ++c, ++accum) { + *accum += *c; + } + } + const WordID *w = rhs_state.left; + bool long_constit = true; + for (size_t i = 1; i <= keep; ++i, ++w) { + if (*w == star_) { + long_constit = false; + break; + } + history.push_back(*w); + if (++pushed == keep) { + std::copy(history.begin(), history.end(), out_state.left); + } + // Now i is the length of the history coming from this constituent. So it needs at least i+1 words to have a cross-child add. + AddWord(history, i + 1, ngrams, out_state.counts); + } + // If the consituent is shorter than thetas_.size(), then the + // constituent's left is the entire constituent, so history is already + // correct. Otherwise, the entire right hand side is the entire + // history. + if (long_constit) { + history.assign(thetas_.size(), rhs_state.right, rhs_state.right + keep); + } + ++ant_context; + } else { + // Word + ++*out_state.length; + history.push_back(*rhs); + if (++pushed == keep) { + std::copy(history.begin(), history.end(), out_state.left); + } + AddWord(history, 1, ngrams, out_state.counts); + } + } + // Fill in left and right constituents. + if (pushed < keep) { + std::copy(history.begin(), history.end(), out_state.left); + for (WordID *i = out_state.left + pushed; i != out_state.left + keep; ++i) { + *i = star_; + } + std::copy(out_state.left, out_state.left + keep, out_state.right); + } else if(pushed == keep) { + std::copy(history.begin(), history.end(), out_state.right); + } else if ((pushed > keep) && !history.empty()) { + std::copy(history.begin() + 1, history.end(), out_state.right); + } + std::vector::const_iterator ref_info = ref_counts_[smeta.GetSentenceID()].begin(); + // Clip the counts and count matches. + // Indexed by reference then by length. + std::vector > matches(num_refs_, std::vector(thetas_.size())); + for (GramCount *c = out_state.counts; c != out_state.counts + ngrams.size(); ++c, ++ref_info) { + *c = std::min(*c, ref_info->max); + if (*c) { + for (unsigned int refidx = 0; refidx < num_refs_; ++refidx) { + assert(ref_info->length >= 1); + assert(ref_info->length - 1 < thetas_.size()); + matches[refidx][ref_info->length - 1] += std::min(*c, ref_info->refs[refidx]); + } + } + } + double best_score = 0.0; + for (unsigned int refidx = 0; refidx < num_refs_; ++refidx) { + double score = 0.0; + for (unsigned int j = 0; j < std::min(*out_state.length, thetas_.size()); ++j) { + score += thetas_[j] * static_cast(matches[refidx][j]) / static_cast(*out_state.length - j); + } + best_score = std::max(best_score, score); + } + return best_score; + } + + private: + unsigned int num_refs_; + // Indexed by sentence id. + std::vector ref_ids_; + // Then by id from ref_ids_. + std::vector > ref_counts_; + + // thetas_[0] is the weight for 1-grams + std::vector thetas_; + + // All ngram ids in ref_ids_ are < this value. + size_t bound_ngram_id_; + + const WordID star_; +}; + +TrombleLossComputer::TrombleLossComputer(const std::string ¶ms) : + boost::base_from_member(new TrombleLossComputerImpl(params)), + FeatureFunction(boost::base_from_member::member->StateSize()), + fid_(FD::Convert("TrombleLossComputer")) {} + +TrombleLossComputer::~TrombleLossComputer() {} + +void TrombleLossComputer::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const { + (void) estimated_features; + const double loss = boost::base_from_member::member->Traversal(smeta, *edge.rule_, ant_contexts, out_context); + features->set_value(fid_, loss); +} diff --git a/decoder/tromble_loss.h b/decoder/tromble_loss.h new file mode 100644 index 00000000..599a2d54 --- /dev/null +++ b/decoder/tromble_loss.h @@ -0,0 +1,40 @@ +#ifndef _TROMBLE_LOSS_H_ +#define _TROMBLE_LOSS_H_ + +#include +#include +#include + +#include "ff.h" +#include "wordid.h" + +// this may not be the most elegant way to implement this computation, but since we +// may need cube pruning and state splitting, we reuse the feature detector framework. +// the loss is then stored in a feature #0 (which is guaranteed to have weight 0 and +// never be a "real" feature). +class TrombleLossComputerImpl; +class TrombleLossComputer : private boost::base_from_member >, public FeatureFunction { + private: + typedef boost::scoped_ptr PImpl; + typedef FeatureFunction Base; + + public: + // String parameters are ref.txt num_ref weight1 weight2 ... weightn + // where ref.txt contains references on per line, with num_ref references per sentence + // The weights are the weight on each length n-gram. + explicit TrombleLossComputer(const std::string ¶ms); + + ~TrombleLossComputer(); + + protected: + virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector& ant_contexts, + SparseVector* features, + SparseVector* estimated_features, + void* out_context) const; + private: + const int fid_; +}; + +#endif diff --git a/decoder/trule.cc b/decoder/trule.cc new file mode 100644 index 00000000..505839c7 --- /dev/null +++ b/decoder/trule.cc @@ -0,0 +1,242 @@ +#include "trule.h" + +#include + +#include "stringlib.h" +#include "tdict.h" + +using namespace std; + +static WordID ConvertTrgString(const string& w) { + int len = w.size(); + WordID id = 0; + // [X,0] or [0] + // for target rules, we ignore the category, just keep the index + if (len > 2 && w[0]=='[' && w[len-1]==']' && w[len-2] > '0' && w[len-2] <= '9' && + (len == 3 || (len > 4 && w[len-3] == ','))) { + id = w[len-2] - '0'; + id = 1 - id; + } else { + id = TD::Convert(w); + } + return id; +} + +static WordID ConvertSrcString(const string& w, bool mono = false) { + int len = w.size(); + // [X,0] + // for source rules, we keep the category and ignore the index (source rules are + // always numbered 1, 2, 3... + if (mono) { + if (len > 2 && w[0]=='[' && w[len-1]==']') { + if (len > 4 && w[len-3] == ',') { + cerr << "[ERROR] Monolingual rules mut not have non-terminal indices:\n " + << w << endl; + exit(1); + } + // TODO check that source indices go 1,2,3,etc. + return TD::Convert(w.substr(1, len-2)) * -1; + } else { + return TD::Convert(w); + } + } else { + if (len > 4 && w[0]=='[' && w[len-1]==']' && w[len-3] == ',' && w[len-2] > '0' && w[len-2] <= '9') { + return TD::Convert(w.substr(1, len-4)) * -1; + } else { + return TD::Convert(w); + } + } +} + +static WordID ConvertLHS(const string& w) { + if (w[0] == '[') { + int len = w.size(); + if (len < 3) { cerr << "Format error: " << w << endl; exit(1); } + return TD::Convert(w.substr(1, len-2)) * -1; + } else { + return TD::Convert(w) * -1; + } +} + +TRule* TRule::CreateRuleSynchronous(const std::string& rule) { + TRule* res = new TRule; + if (res->ReadFromString(rule, true, false)) return res; + cerr << "[ERROR] Failed to creating rule from: " << rule << endl; + delete res; + return NULL; +} + +TRule* TRule::CreateRulePhrasetable(const string& rule) { + // TODO make this faster + // TODO add configuration for default NT type + if (rule[0] == '[') { + cerr << "Phrasetable rules shouldn't have a LHS / non-terminals:\n " << rule << endl; + return NULL; + } + TRule* res = new TRule("[X] ||| " + rule, true, false); + if (res->Arity() != 0) { + cerr << "Phrasetable rules should have arity 0:\n " << rule << endl; + delete res; + return NULL; + } + return res; +} + +TRule* TRule::CreateRuleMonolingual(const string& rule) { + return new TRule(rule, false, true); +} + +bool TRule::ReadFromString(const string& line, bool strict, bool mono) { + e_.clear(); + f_.clear(); + scores_.clear(); + + string w; + istringstream is(line); + int format = CountSubstrings(line, "|||"); + if (strict && format < 2) { + cerr << "Bad rule format in strict mode:\n" << line << endl; + return false; + } + if (format >= 2 || (mono && format == 1)) { + while(is>>w && w!="|||") { lhs_ = ConvertLHS(w); } + while(is>>w && w!="|||") { f_.push_back(ConvertSrcString(w, mono)); } + if (!mono) { + while(is>>w && w!="|||") { e_.push_back(ConvertTrgString(w)); } + } + int fv = 0; + if (is) { + string ss; + getline(is, ss); + //cerr << "L: " << ss << endl; + int start = 0; + const int len = ss.size(); + while (start < len) { + while(start < len && (ss[start] == ' ' || ss[start] == ';')) + ++start; + if (start == len) break; + int end = start + 1; + while(end < len && (ss[end] != '=' && ss[end] != ' ' && ss[end] != ';')) + ++end; + if (end == len || ss[end] == ' ' || ss[end] == ';') { + //cerr << "PROC: '" << ss.substr(start, end - start) << "'\n"; + // non-named features + if (end != len) { ss[end] = 0; } + string fname = "PhraseModel_X"; + if (fv > 9) { cerr << "Too many phrasetable scores - used named format\n"; abort(); } + fname[12]='0' + fv; + ++fv; + // if the feature set is frozen, this may return zero, indicating an + // undefined feature + const int fid = FD::Convert(fname); + if (fid) + scores_.set_value(fid, atof(&ss[start])); + //cerr << "F: " << fname << " VAL=" << scores_.value(FD::Convert(fname)) << endl; + } else { + const int fid = FD::Convert(ss.substr(start, end - start)); + start = end + 1; + end = start + 1; + while(end < len && (ss[end] != ' ' && ss[end] != ';')) + ++end; + if (end < len) { ss[end] = 0; } + assert(start < len); + if (fid) + scores_.set_value(fid, atof(&ss[start])); + //cerr << "F: " << FD::Convert(fid) << " VAL=" << scores_.value(fid) << endl; + } + start = end + 1; + } + } + } else if (format == 1) { + while(is>>w && w!="|||") { lhs_ = ConvertLHS(w); } + while(is>>w && w!="|||") { e_.push_back(ConvertTrgString(w)); } + f_ = e_; + int x = ConvertLHS("[X]"); + for (int i = 0; i < f_.size(); ++i) + if (f_[i] <= 0) { f_[i] = x; } + } else { + cerr << "F: " << format << endl; + cerr << "[ERROR] Don't know how to read:\n" << line << endl; + } + if (mono) { + e_ = f_; + int ci = 0; + for (int i = 0; i < e_.size(); ++i) + if (e_[i] < 0) + e_[i] = ci--; + } + ComputeArity(); + return SanityCheck(); +} + +bool TRule::SanityCheck() const { + vector used(f_.size(), 0); + int ac = 0; + for (int i = 0; i < e_.size(); ++i) { + int ind = e_[i]; + if (ind > 0) continue; + ind = -ind; + if ((++used[ind]) != 1) { + cerr << "[ERROR] e-side variable index " << (ind+1) << " used more than once!\n"; + return false; + } + ac++; + } + if (ac != Arity()) { + cerr << "[ERROR] e-side arity mismatches f-side\n"; + return false; + } + return true; +} + +void TRule::ComputeArity() { + int min = 1; + for (vector::const_iterator i = e_.begin(); i != e_.end(); ++i) + if (*i < min) min = *i; + arity_ = 1 - min; +} + +static string AnonymousStrVar(int i) { + string res("[v]"); + if(!(i <= 0 && i >= -8)) { + cerr << "Can't handle more than 9 non-terminals: index=" << (-i) << endl; + abort(); + } + res[1] = '1' - i; + return res; +} + +string TRule::AsString(bool verbose) const { + ostringstream os; + int idx = 0; + if (lhs_ && verbose) { + os << '[' << TD::Convert(lhs_ * -1) << "] |||"; + for (int i = 0; i < f_.size(); ++i) { + const WordID& w = f_[i]; + if (w < 0) { + int wi = w * -1; + ++idx; + os << " [" << TD::Convert(wi) << ',' << idx << ']'; + } else { + os << ' ' << TD::Convert(w); + } + } + os << " ||| "; + } + if (idx > 9) { + cerr << "Too many non-terminals!\n partial: " << os.str() << endl; + exit(1); + } + for (int i =0; i +#include +#include +#include + +#include "sparse_vector.h" +#include "wordid.h" + +class TRule; +typedef boost::shared_ptr TRulePtr; + +struct NTSizeSummaryStatistics { + NTSizeSummaryStatistics(int arity) : means(arity), vars(arity) {} + std::vector means; + std::vector vars; +}; + +// Translation rule +class TRule { + public: + TRule() : lhs_(0), prev_i(-1), prev_j(-1) { } + TRule(WordID lhs, const WordID* src, int src_size, const WordID* trg, int trg_size, const int* feat_ids, const double* feat_vals, int feat_size, int arity) : + e_(trg, trg + trg_size), f_(src, src + src_size), lhs_(lhs), arity_(arity), prev_i(-1), prev_j(-1) { + for (int i = 0; i < feat_size; ++i) + scores_.set_value(feat_ids[i], feat_vals[i]); + } + + explicit TRule(const std::vector& e) : e_(e), lhs_(0), prev_i(-1), prev_j(-1) {} + TRule(const std::vector& e, const std::vector& f, const WordID& lhs) : + e_(e), f_(f), lhs_(lhs), prev_i(-1), prev_j(-1) {} + + // deprecated - this will be private soon + explicit TRule(const std::string& text, bool strict = false, bool mono = false) : prev_i(-1), prev_j(-1) { + ReadFromString(text, strict, mono); + } + + // deprecated, use lexer + // make a rule from a hiero-like rule table, e.g. + // [X] ||| [X,1] DE [X,2] ||| [X,2] of the [X,1] + // if misformatted, returns NULL + static TRule* CreateRuleSynchronous(const std::string& rule); + + // deprecated, use lexer + // make a rule from a phrasetable entry (i.e., one that has no LHS type), e.g: + // el gato ||| the cat ||| Feature_2=0.34 + static TRule* CreateRulePhrasetable(const std::string& rule); + + // deprecated, use lexer + // make a rule from a non-synchrnous CFG representation, e.g.: + // [LHS] ||| term1 [NT] term2 [OTHER_NT] [YET_ANOTHER_NT] + static TRule* CreateRuleMonolingual(const std::string& rule); + + static TRule* CreateLexicalRule(const WordID& src, const WordID& trg) { + return new TRule(src, trg); + } + + void ESubstitute(const std::vector* >& var_values, + std::vector* result) const { + int vc = 0; + result->clear(); + for (std::vector::const_iterator i = e_.begin(); i != e_.end(); ++i) { + const WordID& c = *i; + if (c < 1) { + ++vc; + const std::vector& var_value = *var_values[-c]; + std::copy(var_value.begin(), + var_value.end(), + std::back_inserter(*result)); + } else { + result->push_back(c); + } + } + assert(vc == var_values.size()); + } + + void FSubstitute(const std::vector* >& var_values, + std::vector* result) const { + int vc = 0; + result->clear(); + for (std::vector::const_iterator i = f_.begin(); i != f_.end(); ++i) { + const WordID& c = *i; + if (c < 1) { + const std::vector& var_value = *var_values[vc++]; + std::copy(var_value.begin(), + var_value.end(), + std::back_inserter(*result)); + } else { + result->push_back(c); + } + } + assert(vc == var_values.size()); + } + + bool ReadFromString(const std::string& line, bool strict = false, bool monolingual = false); + + bool Initialized() const { return e_.size(); } + + std::string AsString(bool verbose = true) const; + + static TRule DummyRule() { + TRule res; + res.e_.resize(1, 0); + return res; + } + + const std::vector& f() const { return f_; } + const std::vector& e() const { return e_; } + + int EWords() const { return ELength() - Arity(); } + int FWords() const { return FLength() - Arity(); } + int FLength() const { return f_.size(); } + int ELength() const { return e_.size(); } + int Arity() const { return arity_; } + bool IsUnary() const { return (Arity() == 1) && (f_.size() == 1); } + const SparseVector& GetFeatureValues() const { return scores_; } + double Score(int i) const { return scores_[i]; } + WordID GetLHS() const { return lhs_; } + void ComputeArity(); + + // 0 = first variable, -1 = second variable, -2 = third ... + std::vector e_; + // < 0: *-1 = encoding of category of variable + std::vector f_; + WordID lhs_; + SparseVector scores_; + + char arity_; + TRulePtr parent_rule_; // usually NULL, except when doing constrained decoding + + // this is only used when doing synchronous parsing + short int prev_i; + short int prev_j; + + // may be null + boost::shared_ptr nt_size_summary_; + + private: + TRule(const WordID& src, const WordID& trg) : e_(1, trg), f_(1, src), lhs_(), arity_(), prev_i(), prev_j() {} + bool SanityCheck() const; +}; + +#endif diff --git a/decoder/trule_test.cc b/decoder/trule_test.cc new file mode 100644 index 00000000..02a70764 --- /dev/null +++ b/decoder/trule_test.cc @@ -0,0 +1,65 @@ +#include "trule.h" + +#include +#include +#include +#include "tdict.h" + +using namespace std; + +class TRuleTest : public testing::Test { + protected: + virtual void SetUp() { } + virtual void TearDown() { } +}; + +TEST_F(TRuleTest,TestFSubstitute) { + TRule r1("[X] ||| ob [X,1] [X,2] sah . ||| whether [X,1] saw [X,2] . ||| 0.99"); + TRule r2("[X] ||| ich ||| i ||| 1.0"); + TRule r3("[X] ||| ihn ||| him ||| 1.0"); + vector*> ants; + vector res2; + r2.FSubstitute(ants, &res2); + assert(TD::GetString(res2) == "ich"); + vector res3; + r3.FSubstitute(ants, &res3); + assert(TD::GetString(res3) == "ihn"); + ants.push_back(&res2); + ants.push_back(&res3); + vector res; + r1.FSubstitute(ants, &res); + cerr << TD::GetString(res) << endl; + assert(TD::GetString(res) == "ob ich ihn sah ."); +} + +TEST_F(TRuleTest,TestPhrasetableRule) { + TRulePtr t(TRule::CreateRulePhrasetable("gato ||| cat ||| PhraseModel_0=-23.2;Foo=1;Bar=12")); + cerr << t->AsString() << endl; + assert(t->scores_.num_active() == 3); +}; + + +TEST_F(TRuleTest,TestMonoRule) { + TRulePtr m(TRule::CreateRuleMonolingual("[LHS] ||| term1 [NT] term2 [NT2] [NT3]")); + assert(m->Arity() == 3); + cerr << m->AsString() << endl; + TRulePtr m2(TRule::CreateRuleMonolingual("[LHS] ||| term1 [NT] term2 [NT2] [NT3] ||| Feature1=0.23")); + assert(m2->Arity() == 3); + cerr << m2->AsString() << endl; + EXPECT_FLOAT_EQ(m2->scores_.value(FD::Convert("Feature1")), 0.23); +} + +TEST_F(TRuleTest,TestRuleR) { + TRule t6; + t6.ReadFromString("[X] ||| den [X,1] sah [X,2] . ||| [X,2] saw the [X,1] . ||| 0.12321 0.23232 0.121"); + cerr << "TEXT: " << t6.AsString() << endl; + EXPECT_EQ(t6.Arity(), 2); + EXPECT_EQ(t6.e_[0], -1); + EXPECT_EQ(t6.e_[3], 0); +} + +int main(int argc, char** argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} + diff --git a/decoder/ttables.cc b/decoder/ttables.cc new file mode 100644 index 00000000..2ea960f0 --- /dev/null +++ b/decoder/ttables.cc @@ -0,0 +1,31 @@ +#include "ttables.h" + +#include + +#include "dict.h" + +using namespace std; +using namespace std::tr1; + +void TTable::DeserializeProbsFromText(std::istream* in) { + int c = 0; + while(*in) { + string e; + string f; + double p; + (*in) >> e >> f >> p; + if (e.empty()) break; + ++c; + ttable[TD::Convert(e)][TD::Convert(f)] = prob_t(p); + } + cerr << "Loaded " << c << " translation parameters.\n"; +} + +void TTable::SerializeHelper(string* out, const Word2Word2Double& o) { + assert(!"not implemented"); +} + +void TTable::DeserializeHelper(const string& in, Word2Word2Double* o) { + assert(!"not implemented"); +} + diff --git a/decoder/ttables.h b/decoder/ttables.h new file mode 100644 index 00000000..3ffc238a --- /dev/null +++ b/decoder/ttables.h @@ -0,0 +1,87 @@ +#ifndef _TTABLES_H_ +#define _TTABLES_H_ + +#include +#include + +#include "wordid.h" +#include "prob.h" +#include "tdict.h" + +class TTable { + public: + TTable() {} + typedef std::map Word2Double; + typedef std::map Word2Word2Double; + inline const prob_t prob(const int& e, const int& f) const { + const Word2Word2Double::const_iterator cit = ttable.find(e); + if (cit != ttable.end()) { + const Word2Double& cpd = cit->second; + const Word2Double::const_iterator it = cpd.find(f); + if (it == cpd.end()) return prob_t(0.00001); + return prob_t(it->second); + } else { + return prob_t(0.00001); + } + } + inline void Increment(const int& e, const int& f) { + counts[e][f] += 1.0; + } + inline void Increment(const int& e, const int& f, double x) { + counts[e][f] += x; + } + void Normalize() { + ttable.swap(counts); + for (Word2Word2Double::iterator cit = ttable.begin(); + cit != ttable.end(); ++cit) { + double tot = 0; + Word2Double& cpd = cit->second; + for (Word2Double::iterator it = cpd.begin(); it != cpd.end(); ++it) + tot += it->second; + for (Word2Double::iterator it = cpd.begin(); it != cpd.end(); ++it) + it->second /= tot; + } + counts.clear(); + } + // adds counts from another TTable - probabilities remain unchanged + TTable& operator+=(const TTable& rhs) { + for (Word2Word2Double::const_iterator it = rhs.counts.begin(); + it != rhs.counts.end(); ++it) { + const Word2Double& cpd = it->second; + Word2Double& tgt = counts[it->first]; + for (Word2Double::const_iterator j = cpd.begin(); j != cpd.end(); ++j) { + tgt[j->first] += j->second; + } + } + return *this; + } + void ShowTTable() { + for (Word2Word2Double::iterator it = ttable.begin(); it != ttable.end(); ++it) { + Word2Double& cpd = it->second; + for (Word2Double::iterator j = cpd.begin(); j != cpd.end(); ++j) { + std::cerr << "P(" << TD::Convert(j->first) << '|' << TD::Convert(it->first) << ") = " << j->second << std::endl; + } + } + } + void ShowCounts() { + for (Word2Word2Double::iterator it = counts.begin(); it != counts.end(); ++it) { + Word2Double& cpd = it->second; + for (Word2Double::iterator j = cpd.begin(); j != cpd.end(); ++j) { + std::cerr << "c(" << TD::Convert(j->first) << '|' << TD::Convert(it->first) << ") = " << j->second << std::endl; + } + } + } + void DeserializeProbsFromText(std::istream* in); + void SerializeCounts(std::string* out) const { SerializeHelper(out, counts); } + void DeserializeCounts(const std::string& in) { DeserializeHelper(in, &counts); } + void SerializeProbs(std::string* out) const { SerializeHelper(out, ttable); } + void DeserializeProbs(const std::string& in) { DeserializeHelper(in, &ttable); } + private: + static void SerializeHelper(std::string*, const Word2Word2Double& o); + static void DeserializeHelper(const std::string&, Word2Word2Double* o); + public: + Word2Word2Double ttable; + Word2Word2Double counts; +}; + +#endif diff --git a/decoder/viterbi.cc b/decoder/viterbi.cc new file mode 100644 index 00000000..82b2ce6d --- /dev/null +++ b/decoder/viterbi.cc @@ -0,0 +1,39 @@ +#include "viterbi.h" + +#include +#include "hg.h" + +using namespace std; + +string ViterbiETree(const Hypergraph& hg) { + vector tmp; + const prob_t p = Viterbi, ETreeTraversal, prob_t, EdgeProb>(hg, &tmp); + return TD::GetString(tmp); +} + +string ViterbiFTree(const Hypergraph& hg) { + vector tmp; + const prob_t p = Viterbi, FTreeTraversal, prob_t, EdgeProb>(hg, &tmp); + return TD::GetString(tmp); +} + +prob_t ViterbiESentence(const Hypergraph& hg, vector* result) { + return Viterbi, ESentenceTraversal, prob_t, EdgeProb>(hg, result); +} + +prob_t ViterbiFSentence(const Hypergraph& hg, vector* result) { + return Viterbi, FSentenceTraversal, prob_t, EdgeProb>(hg, result); +} + +int ViterbiELength(const Hypergraph& hg) { + int len = -1; + Viterbi(hg, &len); + return len; +} + +int ViterbiPathLength(const Hypergraph& hg) { + int len = -1; + Viterbi(hg, &len); + return len; +} + diff --git a/decoder/viterbi.h b/decoder/viterbi.h new file mode 100644 index 00000000..8f7534a9 --- /dev/null +++ b/decoder/viterbi.h @@ -0,0 +1,142 @@ +#ifndef _VITERBI_H_ +#define _VITERBI_H_ + +#include +#include "prob.h" +#include "hg.h" +#include "tdict.h" + +// V must implement: +// void operator()(const vector& ants, T* result); +template +WeightType Viterbi(const Hypergraph& hg, + T* result, + const Traversal& traverse = Traversal(), + const WeightFunction& weight = WeightFunction()) { + const int num_nodes = hg.nodes_.size(); + std::vector vit_result(num_nodes); + std::vector vit_weight(num_nodes, WeightType::Zero()); + + for (int i = 0; i < num_nodes; ++i) { + const Hypergraph::Node& cur_node = hg.nodes_[i]; + WeightType* const cur_node_best_weight = &vit_weight[i]; + T* const cur_node_best_result = &vit_result[i]; + + const int num_in_edges = cur_node.in_edges_.size(); + if (num_in_edges == 0) { + *cur_node_best_weight = WeightType(1); + continue; + } + for (int j = 0; j < num_in_edges; ++j) { + const Hypergraph::Edge& edge = hg.edges_[cur_node.in_edges_[j]]; + WeightType score = weight(edge); + std::vector ants(edge.tail_nodes_.size()); + for (int k = 0; k < edge.tail_nodes_.size(); ++k) { + const int tail_node_index = edge.tail_nodes_[k]; + score *= vit_weight[tail_node_index]; + ants[k] = &vit_result[tail_node_index]; + } + if (*cur_node_best_weight < score) { + *cur_node_best_weight = score; + traverse(edge, ants, cur_node_best_result); + } + } + } + std::swap(*result, vit_result.back()); + return vit_weight.back(); +} + +struct PathLengthTraversal { + void operator()(const Hypergraph::Edge& edge, + const std::vector& ants, + int* result) const { + (void) edge; + *result = 1; + for (int i = 0; i < ants.size(); ++i) *result += *ants[i]; + } +}; + +struct ESentenceTraversal { + void operator()(const Hypergraph::Edge& edge, + const std::vector*>& ants, + std::vector* result) const { + edge.rule_->ESubstitute(ants, result); + } +}; + +struct ELengthTraversal { + void operator()(const Hypergraph::Edge& edge, + const std::vector& ants, + int* result) const { + *result = edge.rule_->ELength() - edge.rule_->Arity(); + for (int i = 0; i < ants.size(); ++i) *result += *ants[i]; + } +}; + +struct FSentenceTraversal { + void operator()(const Hypergraph::Edge& edge, + const std::vector*>& ants, + std::vector* result) const { + edge.rule_->FSubstitute(ants, result); + } +}; + +// create a strings of the form (S (X the man) (X said (X he (X would (X go))))) +struct ETreeTraversal { + ETreeTraversal() : left("("), space(" "), right(")") {} + const std::string left; + const std::string space; + const std::string right; + void operator()(const Hypergraph::Edge& edge, + const std::vector*>& ants, + std::vector* result) const { + std::vector tmp; + edge.rule_->ESubstitute(ants, &tmp); + const std::string cat = TD::Convert(edge.rule_->GetLHS() * -1); + if (cat == "Goal") + result->swap(tmp); + else + TD::ConvertSentence(left + cat + space + TD::GetString(tmp) + right, + result); + } +}; + +struct FTreeTraversal { + FTreeTraversal() : left("("), space(" "), right(")") {} + const std::string left; + const std::string space; + const std::string right; + void operator()(const Hypergraph::Edge& edge, + const std::vector*>& ants, + std::vector* result) const { + std::vector tmp; + edge.rule_->FSubstitute(ants, &tmp); + const std::string cat = TD::Convert(edge.rule_->GetLHS() * -1); + if (cat == "Goal") + result->swap(tmp); + else + TD::ConvertSentence(left + cat + space + TD::GetString(tmp) + right, + result); + } +}; + +struct ViterbiPathTraversal { + void operator()(const Hypergraph::Edge& edge, + const std::vector* >& ants, + std::vector* result) const { + result->clear(); + for (int i = 0; i < ants.size(); ++i) + for (int j = 0; j < ants[i]->size(); ++j) + result->push_back((*ants[i])[j]); + result->push_back(&edge); + } +}; + +prob_t ViterbiESentence(const Hypergraph& hg, std::vector* result); +std::string ViterbiETree(const Hypergraph& hg); +prob_t ViterbiFSentence(const Hypergraph& hg, std::vector* result); +std::string ViterbiFTree(const Hypergraph& hg); +int ViterbiELength(const Hypergraph& hg); +int ViterbiPathLength(const Hypergraph& hg); + +#endif diff --git a/decoder/weights.cc b/decoder/weights.cc new file mode 100644 index 00000000..84647585 --- /dev/null +++ b/decoder/weights.cc @@ -0,0 +1,77 @@ +#include "weights.h" + +#include + +#include "fdict.h" +#include "filelib.h" + +using namespace std; + +void Weights::InitFromFile(const std::string& filename, vector* feature_list) { + cerr << "Reading weights from " << filename << endl; + ReadFile in_file(filename); + istream& in = *in_file.stream(); + assert(in); + int weight_count = 0; + bool fl = false; + while (in) { + double val = 0; + string buf; + getline(in, buf); + if (buf.size() == 0) continue; + if (buf[0] == '#') continue; + for (int i = 0; i < buf.size(); ++i) + if (buf[i] == '=') buf[i] = ' '; + int start = 0; + while(start < buf.size() && buf[start] == ' ') ++start; + int end = 0; + while(end < buf.size() && buf[end] != ' ') ++end; + int fid = FD::Convert(buf.substr(start, end - start)); + while(end < buf.size() && buf[end] == ' ') ++end; + val = strtod(&buf.c_str()[end], NULL); + if (isnan(val)) { + cerr << FD::Convert(fid) << " has weight NaN!\n"; + abort(); + } + if (wv_.size() <= fid) + wv_.resize(fid + 1); + wv_[fid] = val; + if (feature_list) { feature_list->push_back(FD::Convert(fid)); } + ++weight_count; + if (weight_count % 50000 == 0) { cerr << '.' << flush; fl = true; } + if (weight_count % 2000000 == 0) { cerr << " [" << weight_count << "]\n"; fl = false; } + } + if (fl) { cerr << endl; } + cerr << "Loaded " << weight_count << " feature weights\n"; +} + +void Weights::WriteToFile(const std::string& fname, bool hide_zero_value_features) const { + WriteFile out(fname); + ostream& o = *out.stream(); + assert(o); + o.precision(17); + const int num_feats = FD::NumFeats(); + for (int i = 1; i < num_feats; ++i) { + const double val = (i < wv_.size() ? wv_[i] : 0.0); + if (hide_zero_value_features && val == 0.0) continue; + o << FD::Convert(i) << ' ' << val << endl; + } +} + +void Weights::InitVector(std::vector* w) const { + *w = wv_; +} + +void Weights::InitSparseVector(SparseVector* w) const { + for (int i = 1; i < wv_.size(); ++i) { + const double& weight = wv_[i]; + if (weight) w->set_value(i, weight); + } +} + +void Weights::InitFromVector(const std::vector& w) { + wv_ = w; + if (wv_.size() > FD::NumFeats()) + cerr << "WARNING: initializing weight vector has more features than the global feature dictionary!\n"; + wv_.resize(FD::NumFeats(), 0); +} diff --git a/decoder/weights.h b/decoder/weights.h new file mode 100644 index 00000000..f19aa3ce --- /dev/null +++ b/decoder/weights.h @@ -0,0 +1,21 @@ +#ifndef _WEIGHTS_H_ +#define _WEIGHTS_H_ + +#include +#include +#include +#include "sparse_vector.h" + +class Weights { + public: + Weights() {} + void InitFromFile(const std::string& fname, std::vector* feature_list = NULL); + void WriteToFile(const std::string& fname, bool hide_zero_value_features = true) const; + void InitVector(std::vector* w) const; + void InitSparseVector(SparseVector* w) const; + void InitFromVector(const std::vector& w); + private: + std::vector wv_; +}; + +#endif diff --git a/decoder/weights_test.cc b/decoder/weights_test.cc new file mode 100644 index 00000000..aa6b3db2 --- /dev/null +++ b/decoder/weights_test.cc @@ -0,0 +1,28 @@ +#include +#include +#include +#include +#include +#include "weights.h" +#include "tdict.h" +#include "hg.h" + +using namespace std; + +class WeightsTest : public testing::Test { + protected: + virtual void SetUp() { } + virtual void TearDown() { } +}; + + +TEST_F(WeightsTest,Load) { + Weights w; + w.InitFromFile("test_data/weights"); + w.WriteToFile("-"); +} + +int main(int argc, char **argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} diff --git a/decoder/wordid.h b/decoder/wordid.h new file mode 100644 index 00000000..fb50bcc1 --- /dev/null +++ b/decoder/wordid.h @@ -0,0 +1,6 @@ +#ifndef _WORD_ID_H_ +#define _WORD_ID_H_ + +typedef int WordID; + +#endif diff --git a/extools/Makefile.am b/extools/Makefile.am new file mode 100644 index 00000000..5baefa21 --- /dev/null +++ b/extools/Makefile.am @@ -0,0 +1,31 @@ +bin_PROGRAMS = \ + extractor \ + mr_stripe_rule_reduce \ + build_lexical_translation \ + score_grammar \ + filter_grammar + +noinst_PROGRAMS = + +build_lexical_translation_SOURCES = build_lexical_translation.cc extract.cc sentence_pair.cc +build_lexical_translation_LDADD = $(top_srcdir)/decoder/libcdec.a -lz +build_lexical_translation_LDFLAGS = -all-static + +mr_stripe_rule_reduce_SOURCES = mr_stripe_rule_reduce.cc extract.cc sentence_pair.cc +mr_stripe_rule_reduce_LDADD = $(top_srcdir)/decoder/libcdec.a -lz +mr_stripe_rule_reduce_LDFLAGS = -all-static + +extractor_SOURCES = sentence_pair.cc extract.cc extractor.cc +extractor_LDADD = $(top_srcdir)/decoder/libcdec.a -lz +extractor_LDFLAGS = -all-static + +filter_grammar_SOURCES = sentence_pair.cc extract.cc filter_grammar.cc +filter_grammar_LDADD = $(top_srcdir)/decoder/libcdec.a -lz +filter_grammar_LDFLAGS = -all-static + +score_grammar_SOURCES = sentence_pair.cc score_grammar.cc extract.cc +score_grammar_LDADD = $(top_srcdir)/decoder/libcdec.a -lz +score_grammar_LDFLAGS = -all-static + +AM_CPPFLAGS = -W -Wall -Wno-sign-compare $(GTEST_CPPFLAGS) -I$(top_srcdir)/decoder + diff --git a/extools/README b/extools/README new file mode 100644 index 00000000..af91ce79 --- /dev/null +++ b/extools/README @@ -0,0 +1,32 @@ + +Categories have the format i-j:CAT where i and j are the indices of the spaces +between words in the TARGET language. For example, slash categories can be written: + + the blue house + 0-1:DT 1-2:JJ 2-3:NN 1-3:NBAR 0-2:NP/NN 0-3:NP + + +You may multiply label each span, e.g. + + NP + | + NBAR + | + NN + | + John + 0-1:NP 0-1:NBAR 0-1:NP + +However, this may result in a very large number of rules being extracted. + + +**** +* Filtering and Scoring of Unscored and Unfiltered Grammars +**** + +Take the unfiltered grammar, and a test set, and run: +./filter_grammar < unfiltered.grammar > filter.grammar + +Then, to score the new filtered grammar, run: +./score_grammar < filtered.grammar > scored.grammar + diff --git a/extools/build_lexical_translation.cc b/extools/build_lexical_translation.cc new file mode 100644 index 00000000..f609f56a --- /dev/null +++ b/extools/build_lexical_translation.cc @@ -0,0 +1,104 @@ +/* + * Build lexical translation table from alignment file to use for lexical translation probabilties when scoring a grammar + * + * Ported largely from the train-factored-phrase-model.perl script by Philipp Koehn + */ +#include +#include +#include +#include +#include +#include +#include +#include + +#include "sentence_pair.h" +#include "extract.h" +#include "fdict.h" +#include "tdict.h" + +#include +#include +#include + +using namespace std; +using namespace std::tr1; + +static const size_t MAX_LINE_LENGTH = 64000000; + +int main(int argc, char* argv[]){ + + bool DEBUG = false; + + map > word_translation; + map total_foreign; + map total_english; + + AnnotatedParallelSentence sent; + char* buf = new char[MAX_LINE_LENGTH]; + while(cin) + { + cin.getline(buf, MAX_LINE_LENGTH); + if (buf[0] == 0) continue; + + sent.ParseInputLine(buf); + + map foreign_aligned; + map english_aligned; + + //iterate over the alignment to compute aligned words + + for(int i =0;i& nullcounts = word_translation[NULL_]; + for (int j =0; j < sent.e_len; j++) + { + if (english_aligned.count(sent.e[j])) continue; + ++nullcounts[sent.e[j]]; + ++total_foreign[NULL_]; + ++total_english[sent.e[j]]; + } + + for (int i =0; i < sent.f_len; i++) + { + if (foreign_aligned.count(sent.f[i])) continue; + ++word_translation[sent.f[i]][NULL_]; + ++total_english[NULL_]; + ++total_foreign[sent.f[i]]; + } + + } + + for(map < WordID, map >::iterator it = word_translation.begin(); it != word_translation.end(); ++it) + { + const map& trans = it->second; + for (map::const_iterator iit = trans.begin(); iit != trans.end(); ++iit) { + cout << TD::Convert(it->first) << "," << TD::Convert(iit->first) << "=" << iit->second << "/" << total_foreign[it->first] << endl; + } + } + + + return 0; +} diff --git a/extools/extract.cc b/extools/extract.cc new file mode 100644 index 00000000..6ad124d2 --- /dev/null +++ b/extools/extract.cc @@ -0,0 +1,341 @@ +#include "extract.h" + +#include +#include +#include +#include +#include + +#include + +#include "sentence_pair.h" +#include "tdict.h" +#include "wordid.h" +#include "array2d.h" + +using namespace std; +using namespace tr1; + +namespace { + inline bool IsWhitespace(char c) { return c == ' ' || c == '\t'; } + + inline void SkipWhitespace(const char* buf, int* ptr) { + while (buf[*ptr] && IsWhitespace(buf[*ptr])) { ++(*ptr); } + } +} + +Extract::RuleObserver::~RuleObserver() { + cerr << "Rules extracted: " << count << endl; +} + +void Extract::ExtractBasePhrases(const int max_base_phrase_size, + const AnnotatedParallelSentence& sentence, + vector* phrases) { + phrases->clear(); + + vector > f_spans(sentence.f_len, pair(sentence.e_len, 0)); + vector > e_spans(sentence.e_len, pair(sentence.f_len, 0)); + // for each alignment point in e, precompute the minimal consistent phrases in f + // for each alignment point in f, precompute the minimal consistent phrases in e + for (int i = 0; i < sentence.f_len; ++i) { + for (int j = 0; j < sentence.e_len; ++j) { + if (sentence.aligned(i,j)) { + if (j < f_spans[i].first) f_spans[i].first = j; + f_spans[i].second = j+1; + if (i < e_spans[j].first) e_spans[j].first = i; + e_spans[j].second = i+1; + } + } + } + + for (int i1 = 0; i1 < sentence.f_len; ++i1) { + if (sentence.f_aligned[i1] == 0) continue; + int j1 = sentence.e_len; + int j2 = 0; + const int i_limit = min(sentence.f_len, i1 + max_base_phrase_size); + for (int i2 = i1 + 1; i2 <= i_limit; ++i2) { + if (sentence.f_aligned[i2-1] == 0) continue; + // cerr << "F has aligned span " << i1 << " to " << i2 << endl; + j1 = min(j1, f_spans[i2-1].first); + j2 = max(j2, f_spans[i2-1].second); + if (j1 >= j2) continue; + if (j2 - j1 > max_base_phrase_size) continue; + int condition = 0; + for (int j = j1; j < j2; ++j) { + if (e_spans[j].first < i1) { condition = 1; break; } + if (e_spans[j].second > i2) { condition = 2; break; } + } + if (condition == 1) break; + if (condition == 2) continue; + // category types added later! + phrases->push_back(ParallelSpan(i1, i2, j1, j2)); + // cerr << i1 << " " << i2 << " : " << j1 << " " << j2 << endl; + } + } +} + +void Extract::LoosenPhraseBounds(const AnnotatedParallelSentence& sentence, + const int max_base_phrase_size, + vector* phrases) { + const int num_phrases = phrases->size(); + map > > > marker; + for (int i = 0; i < num_phrases; ++i) { + const ParallelSpan& cur = (*phrases)[i]; + marker[cur.i1][cur.i2][cur.j1][cur.j2] = true; + } + for (int i = 0; i < num_phrases; ++i) { + const ParallelSpan& cur = (*phrases)[i]; + const int i1_max = cur.i1; + const int i2_min = cur.i2; + const int j1_max = cur.j1; + const int j2_min = cur.j2; + int i1_min = i1_max; + while (i1_min > 0 && sentence.f_aligned[i1_min-1] == 0) { --i1_min; } + int j1_min = j1_max; + while (j1_min > 0 && sentence.e_aligned[j1_min-1] == 0) { --j1_min; } + int i2_max = i2_min; + while (i2_max < sentence.f_len && sentence.f_aligned[i2_max] == 0) { ++i2_max; } + int j2_max = j2_min; + while (j2_max < sentence.e_len && sentence.e_aligned[j2_max] == 0) { ++j2_max; } + for (int i1 = i1_min; i1 <= i1_max; ++i1) { + const int ilim = min(i2_max, i1 + max_base_phrase_size); + for (int i2 = max(i1+1,i2_min); i2 <= ilim; ++i2) { + for (int j1 = j1_min; j1 <= j1_max; ++j1) { + const int jlim = min(j2_max, j1 + max_base_phrase_size); + for (int j2 = max(j1+1, j2_min); j2 <= jlim; ++j2) { + bool& seen = marker[i1][i2][j1][j2]; + if (!seen) + phrases->push_back(ParallelSpan(i1,i2,j1,j2)); + seen = true; + } + } + } + } + } +} + +// this uses the TARGET span (i,j) to annotate phrases, will copy +// phrases if there is more than one annotation. +// TODO: support source annotation +void Extract::AnnotatePhrasesWithCategoryTypes(const WordID default_cat, + const Array2D >& types, + vector* phrases) { + const int num_unannotated_phrases = phrases->size(); + // have to use num_unannotated_phrases since we may grow the vector + for (int i = 0; i < num_unannotated_phrases; ++i) { + ParallelSpan& phrase = (*phrases)[i]; + const vector* pcats = &types(phrase.j1, phrase.j2); + if (pcats->empty() && default_cat != 0) { + static vector s_default(1, default_cat); + pcats = &s_default; + } + if (pcats->empty()) { + cerr << "ERROR span " << phrase.i1 << "," << phrase.i2 << "-" + << phrase.j1 << "," << phrase.j2 << " has no type. " + "Did you forget --default_category?\n"; + } + const vector& cats = *pcats; + phrase.cat = cats[0]; + for (int ci = 1; ci < cats.size(); ++ci) { + ParallelSpan new_phrase = phrase; + new_phrase.cat = cats[ci]; + phrases->push_back(new_phrase); + } + } +} + +// a partially complete (f-side) of a rule +struct RuleItem { + vector f; + int i,j,syms,vars; + explicit RuleItem(int pi) : i(pi), j(pi), syms(), vars() {} + void Extend(const WordID& fword) { + f.push_back(ParallelSpan(fword)); + ++j; + ++syms; + } + void Extend(const ParallelSpan& subphrase) { + f.push_back(subphrase); + j += subphrase.i2 - subphrase.i1; + ++vars; + ++syms; + } + bool RuleFEndsInVariable() const { + if (f.size() > 0) { + return f.back().IsVariable(); + } else { return false; } + } +}; + +void Extract::ExtractConsistentRules(const AnnotatedParallelSentence& sentence, + const vector& phrases, + const int max_vars, + const int max_syms, + const bool permit_adjacent_nonterminals, + const bool require_aligned_terminal, + RuleObserver* observer) { + queue q; // agenda for BFS + int max_len = -1; + unordered_map, vector, boost::hash > > fspans; + vector > spans_by_start(sentence.f_len); + set starts; + for (int i = 0; i < phrases.size(); ++i) { + fspans[make_pair(phrases[i].i1,phrases[i].i2)].push_back(phrases[i]); + max_len = max(max_len, phrases[i].i2 - phrases[i].i1); + // have we already added a rule item starting at phrases[i].i1? + if (starts.insert(phrases[i].i1).second) + q.push(RuleItem(phrases[i].i1)); + spans_by_start[phrases[i].i1].push_back(phrases[i]); + } + starts.clear(); + vector > next_e(sentence.e_len); + vector cur_rhs_f, cur_rhs_e; + vector > cur_terminal_align; + vector cur_es, cur_fs; + while(!q.empty()) { + const RuleItem& rule = q.front(); + + // extend the partial rule + if (rule.j < sentence.f_len && (rule.j - rule.i) < max_len && rule.syms < max_syms) { + RuleItem ew = rule; + + // extend with a word + ew.Extend(sentence.f[ew.j]); + q.push(ew); + + // with variables + if (rule.vars < max_vars && + !spans_by_start[rule.j].empty() && + ((!rule.RuleFEndsInVariable()) || permit_adjacent_nonterminals)) { + const vector& sub_phrases = spans_by_start[rule.j]; + for (int it = 0; it < sub_phrases.size(); ++it) { + if (sub_phrases[it].i2 - sub_phrases[it].i1 + rule.j - rule.i <= max_len) { + RuleItem ev = rule; + ev.Extend(sub_phrases[it]); + q.push(ev); + assert(ev.j <= sentence.f_len); + } + } + } + } + // determine if rule is consistent + if (rule.syms > 0 && + fspans.count(make_pair(rule.i,rule.j)) && + (!rule.RuleFEndsInVariable() || rule.syms > 1)) { + const vector& orig_spans = fspans[make_pair(rule.i,rule.j)]; + for (int s = 0; s < orig_spans.size(); ++s) { + const ParallelSpan& orig_span = orig_spans[s]; + const WordID lhs = orig_span.cat; + for (int j = orig_span.j1; j < orig_span.j2; ++j) next_e[j].first = -1; + int nt_index_e = 0; + for (int i = 0; i < rule.f.size(); ++i) { + const ParallelSpan& cur = rule.f[i]; + if (cur.IsVariable()) + next_e[cur.j1] = pair(cur.j2, ++nt_index_e); + } + cur_rhs_f.clear(); + cur_rhs_e.clear(); + cur_terminal_align.clear(); + cur_fs.clear(); + cur_es.clear(); + + const int elen = orig_span.j2 - orig_span.j1; + vector isvar(elen, 0); + int fbias = rule.i; + bool bad_rule = false; + bool has_aligned_terminal = false; + for (int i = 0; i < rule.f.size(); ++i) { + const ParallelSpan& cur = rule.f[i]; + cur_rhs_f.push_back(cur.cat); + if (cur.cat > 0) { // terminal + if (sentence.f_aligned[fbias + i]) has_aligned_terminal = true; + cur_fs.push_back(fbias + i); + } else { // non-terminal + int subj1 = cur.j1 - orig_span.j1; + int subj2 = cur.j2 - orig_span.j1; + if (subj1 < 0 || subj2 > elen) { bad_rule = true; break; } + for (int j = subj1; j < subj2 && !bad_rule; ++j) { + int& isvarj = isvar[j]; + isvarj = true; + } + if (bad_rule) break; + cur_fs.push_back(-1); + fbias += cur.i2 - cur.i1 - 1; + } + } + if (require_aligned_terminal && !has_aligned_terminal) bad_rule = true; + if (!bad_rule) { + for (int j = orig_span.j1; j < orig_span.j2; ++j) { + if (next_e[j].first < 0) { + cur_rhs_e.push_back(sentence.e[j]); + cur_es.push_back(j); + } else { + cur_rhs_e.push_back(1 - next_e[j].second); // next_e[j].second is NT gap index + cur_es.push_back(-1); + j = next_e[j].first - 1; + } + } + for (short i = 0; i < cur_fs.size(); ++i) + if (cur_fs[i] >= 0) + for (short j = 0; j < cur_es.size(); ++j) + if (cur_es[j] >= 0 && sentence.aligned(cur_fs[i],cur_es[j])) + cur_terminal_align.push_back(make_pair(i,j)); + observer->CountRule(lhs, cur_rhs_f, cur_rhs_e, cur_terminal_align); + } + } + } + q.pop(); + } +} + +void RuleStatistics::ParseRuleStatistics(const char* buf, int start, int end) { + int ptr = start; + counts.clear(); + aligns.clear(); + while (ptr < end) { + SkipWhitespace(buf, &ptr); + int vstart = ptr; + while(ptr < end && buf[ptr] != '=') ++ptr; + assert(buf[ptr] == '='); + assert(ptr > vstart); + if (buf[vstart] == 'A' && buf[vstart+1] == '=') { + ++ptr; + while (ptr < end && !IsWhitespace(buf[ptr])) { + while(ptr < end && buf[ptr] == ',') { ++ptr; } + assert(ptr < end); + vstart = ptr; + while(ptr < end && buf[ptr] != ',' && !IsWhitespace(buf[ptr])) { ++ptr; } + if (ptr > vstart) { + short a, b; + AnnotatedParallelSentence::ReadAlignmentPoint(buf, vstart, ptr, false, &a, &b); + aligns.push_back(make_pair(a,b)); + } + } + } else { + int name = FD::Convert(string(buf,vstart,ptr-vstart)); + ++ptr; + vstart = ptr; + while(ptr < end && !IsWhitespace(buf[ptr])) { ++ptr; } + assert(ptr > vstart); + counts.set_value(name, strtod(buf + vstart, NULL)); + } + } +} + +ostream& operator<<(ostream& os, const RuleStatistics& s) { + bool needspace = false; + for (SparseVector::const_iterator it = s.counts.begin(); it != s.counts.end(); ++it) { + if (needspace) os << ' '; else needspace = true; + os << FD::Convert(it->first) << '=' << it->second; + } + if (s.aligns.size() > 0) { + os << " A="; + needspace = false; + for (int i = 0; i < s.aligns.size(); ++i) { + if (needspace) os << ','; else needspace = true; + os << s.aligns[i].first << '-' << s.aligns[i].second; + } + } + return os; +} + diff --git a/extools/extract.h b/extools/extract.h new file mode 100644 index 00000000..f87aa6cb --- /dev/null +++ b/extools/extract.h @@ -0,0 +1,110 @@ +#ifndef _EXTRACT_H_ +#define _EXTRACT_H_ + +#include +#include +#include +#include "array2d.h" +#include "wordid.h" +#include "sparse_vector.h" + +struct AnnotatedParallelSentence; + +// usually represents a consistent phrase, which may +// be annotated with a type (cat) +// inside the rule extractor, this class is also used to represent a word +// in a partial rule. +struct ParallelSpan { + // i1 = i of f side + // i2 = j of f side + // j1 = i of e side + // j2 = j of e side + short i1,i2,j1,j2; + // cat is set by AnnotatePhrasesWithCategoryTypes, otherwise it's 0 + WordID cat; // category type of span (also overloaded by RuleItem class + // to be a word ID) + ParallelSpan() : i1(-1), i2(-1), j1(-1), j2(-1), cat() {} + // used by Rule class to represent a terminal symbol: + explicit ParallelSpan(WordID w) : i1(-1), i2(-1), j1(-1), j2(-1), cat(w) {} + ParallelSpan(int pi1, int pi2, int pj1, int pj2) : i1(pi1), i2(pi2), j1(pj1), j2(pj2), cat() {} + ParallelSpan(int pi1, int pi2, int pj1, int pj2, WordID c) : i1(pi1), i2(pi2), j1(pj1), j2(pj2), cat(c) {} + + // ParallelSpan is used in the Rule class where it is + // overloaded to also represent terminal symbols + inline bool IsVariable() const { return i1 != -1; } +}; + +// rule extraction logic lives here. this has no data, it's just got +// static member functions. +struct Extract { + // RuleObserver's CountRule is called for each rule extracted + // implement CountRuleImpl to do things like count the rules, + // write them to a file, etc. + struct RuleObserver { + RuleObserver() : count() {} + virtual void CountRule(WordID lhs, + const std::vector& rhs_f, + const std::vector& rhs_e, + const std::vector >& fe_terminal_alignments) { + ++count; + CountRuleImpl(lhs, rhs_f, rhs_e, fe_terminal_alignments); + } + virtual ~RuleObserver(); + + protected: + virtual void CountRuleImpl(WordID lhs, + const std::vector& rhs_f, + const std::vector& rhs_e, + const std::vector >& fe_terminal_alignments) = 0; + private: + int count; + }; + + // given a set of "tight" phrases and the aligned sentence they were + // extracted from, "loosen" them + static void LoosenPhraseBounds(const AnnotatedParallelSentence& sentence, + const int max_base_phrase_size, + std::vector* phrases); + + // extract all consistent phrase pairs, up to size max_base_phrase_size + // (on the source side). these phrases will be "tight". + static void ExtractBasePhrases(const int max_base_phrase_size, + const AnnotatedParallelSentence& sentence, + std::vector* phrases); + + // this uses the TARGET span (i,j) to annotate phrases, will copy + // phrases if there is more than one annotation. + // TODO: support source annotation + static void AnnotatePhrasesWithCategoryTypes(const WordID default_cat, + const Array2D >& types, + std::vector* phrases); + + // use the Chiang (2007) extraction logic to extract consistent subphrases + // observer->CountRule is called once for each rule extracted + static void ExtractConsistentRules(const AnnotatedParallelSentence& sentence, + const std::vector& phrases, + const int max_vars, + const int max_syms, + const bool permit_adjacent_nonterminals, + const bool require_aligned_terminal, + RuleObserver* observer); +}; + +// represents statistics / information about a rule pair +struct RuleStatistics { + SparseVector counts; + std::vector > aligns; + RuleStatistics() {} + RuleStatistics(int name, float val, const std::vector >& al) : + aligns(al) { + counts.set_value(name, val); + } + void ParseRuleStatistics(const char* buf, int start, int end); + RuleStatistics& operator+=(const RuleStatistics& rhs) { + counts += rhs.counts; + return *this; + } +}; +std::ostream& operator<<(std::ostream& os, const RuleStatistics& s); + +#endif diff --git a/extools/extractor.cc b/extools/extractor.cc new file mode 100644 index 00000000..a3791d2a --- /dev/null +++ b/extools/extractor.cc @@ -0,0 +1,363 @@ +#include +#include +#include +#include + +#include +#include +#include +#include + +#include "sparse_vector.h" +#include "sentence_pair.h" +#include "extract.h" +#include "tdict.h" +#include "fdict.h" +#include "wordid.h" +#include "array2d.h" +#include "filelib.h" + +using namespace std; +using namespace std::tr1; +namespace po = boost::program_options; + +static const size_t MAX_LINE_LENGTH = 100000; +WordID kBOS, kEOS, kDIVIDER, kGAP; +int kCOUNT; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("input,i", po::value()->default_value("-"), "Input file") + ("default_category,d", po::value(), "Default span type (use X for 'Hiero')") + ("loose", "Use loose phrase extraction heuristic for base phrases") + ("base_phrase,B", "Write base phrases") + ("base_phrase_spans", "Write base sentences and phrase spans") + ("bidir,b", "Extract bidirectional rules (for computing p(f|e) in addition to p(e|f))") + ("combiner_size,c", po::value()->default_value(800000), "Number of unique items to store in cache before writing rule counts. Set to 0 to disable cache.") + ("silent", "Write nothing to stderr except errors") + ("phrase_context,C", "Write base phrase contexts") + ("phrase_context_size,S", po::value()->default_value(2), "Use this many words of context on left and write when writing base phrase contexts") + ("max_base_phrase_size,L", po::value()->default_value(10), "Maximum starting phrase size") + ("max_syms,l", po::value()->default_value(5), "Maximum number of symbols in final phrase size") + ("max_vars,v", po::value()->default_value(2), "Maximum number of nonterminal variables in final phrase size") + ("permit_adjacent_nonterminals,A", "Permit adjacent nonterminals in source side of rules") + ("no_required_aligned_terminal,n", "Do not require an aligned terminal") + ("help,h", "Print this help message and exit"); + po::options_description clo("Command line options"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + po::notify(*conf); + + if (conf->count("help") || conf->count("input") == 0) { + cerr << "\nUsage: extractor [-options]\n"; + cerr << dcmdline_options << endl; + exit(1); + } +} + +// TODO how to handle alignment information? +void WriteBasePhrases(const AnnotatedParallelSentence& sentence, + const vector& phrases) { + vector e,f; + for (int it = 0; it < phrases.size(); ++it) { + const ParallelSpan& phrase = phrases[it]; + e.clear(); + f.clear(); + for (int i = phrase.i1; i < phrase.i2; ++i) + f.push_back(sentence.f[i]); + for (int j = phrase.j1; j < phrase.j2; ++j) + e.push_back(sentence.e[j]); + cout << TD::GetString(f) << " ||| " << TD::GetString(e) << endl; + } +} + +void WriteBasePhraseSpans(const AnnotatedParallelSentence& sentence, + const vector& phrases) { + cout << TD::GetString(sentence.f) << " ||| " << TD::GetString(sentence.e) << " |||"; + for (int it = 0; it < phrases.size(); ++it) { + const ParallelSpan& phrase = phrases[it]; + cout << " " << phrase.i1 << "-" << phrase.i2 + << "-" << phrase.j1 << "-" << phrase.j2; + } + cout << endl; +} + +struct CountCombiner { + CountCombiner(size_t csize) : combiner_size(csize) {} + ~CountCombiner() { + if (!cache.empty()) WriteAndClearCache(); + } + + void Count(const vector& key, + const vector& val, + const int count_type, + const vector >& aligns) { + if (combiner_size > 0) { + RuleStatistics& v = cache[key][val]; + float newcount = v.counts.add_value(count_type, 1.0f); + // hack for adding alignments + if (newcount < 7.0f && aligns.size() > v.aligns.size()) + v.aligns = aligns; + if (cache.size() > combiner_size) WriteAndClearCache(); + } else { + cout << TD::GetString(key) << '\t' << TD::GetString(val) << " ||| "; + cout << RuleStatistics(count_type, 1.0f, aligns) << endl; + } + } + + private: + void WriteAndClearCache() { + for (unordered_map, Vec2PhraseCount, boost::hash > >::iterator it = cache.begin(); + it != cache.end(); ++it) { + cout << TD::GetString(it->first) << '\t'; + const Vec2PhraseCount& vals = it->second; + bool needdiv = false; + for (Vec2PhraseCount::const_iterator vi = vals.begin(); vi != vals.end(); ++vi) { + if (needdiv) cout << " ||| "; else needdiv = true; + cout << TD::GetString(vi->first) << " ||| " << vi->second; + } + cout << endl; + } + cache.clear(); + } + + const size_t combiner_size; + typedef unordered_map, RuleStatistics, boost::hash > > Vec2PhraseCount; + unordered_map, Vec2PhraseCount, boost::hash > > cache; +}; + +// TODO optional source context +// output : k = phrase "document" v = context "term" +void WritePhraseContexts(const AnnotatedParallelSentence& sentence, + const vector& phrases, + const int ctx_size, + CountCombiner* o) { + vector context(ctx_size * 2 + 1); + context[ctx_size] = kGAP; + vector key; + key.reserve(100); + for (int it = 0; it < phrases.size(); ++it) { + const ParallelSpan& phrase = phrases[it]; + + // TODO, support src keys as well + key.resize(phrase.j2 - phrase.j1); + for (int j = phrase.j1; j < phrase.j2; ++j) + key[j - phrase.j1] = sentence.e[j]; + + for (int i = 0; i < ctx_size; ++i) { + int epos = phrase.j1 - 1 - i; + const WordID left_ctx = (epos < 0) ? kBOS : sentence.e[epos]; + context[ctx_size - i - 1] = left_ctx; + epos = phrase.j2 + i; + const WordID right_ctx = (epos >= sentence.e_len) ? kEOS : sentence.e[epos]; + context[ctx_size + i + 1] = right_ctx; + } + o->Count(key, context, kCOUNT, vector >()); + } +} + +struct SimpleRuleWriter : public Extract::RuleObserver { + protected: + virtual void CountRuleImpl(WordID lhs, + const vector& rhs_f, + const vector& rhs_e, + const vector >& fe_terminal_alignments) { + cout << "[" << TD::Convert(-lhs) << "] |||"; + for (int i = 0; i < rhs_f.size(); ++i) { + if (rhs_f[i] < 0) cout << " [" << TD::Convert(-rhs_f[i]) << ']'; + else cout << ' ' << TD::Convert(rhs_f[i]); + } + cout << " |||"; + for (int i = 0; i < rhs_e.size(); ++i) { + if (rhs_e[i] <= 0) cout << " [" << (1-rhs_e[i]) << ']'; + else cout << ' ' << TD::Convert(rhs_e[i]); + } + cout << " |||"; + for (int i = 0; i < fe_terminal_alignments.size(); ++i) { + cout << ' ' << fe_terminal_alignments[i].first << '-' << fe_terminal_alignments[i].second; + } + cout << endl; + } +}; + +struct HadoopStreamingRuleObserver : public Extract::RuleObserver { + HadoopStreamingRuleObserver(CountCombiner* cc, bool bidir_flag) : + bidir(bidir_flag), + kF(TD::Convert("F")), + kE(TD::Convert("E")), + kDIVIDER(TD::Convert("|||")), + kLB("["), kRB("]"), + combiner(*cc), + kEMPTY(), + kCFE(FD::Convert("CFE")) { + for (int i=1; i < 50; ++i) + index2sym[1-i] = TD::Convert(kLB + boost::lexical_cast(i) + kRB); + fmajor_key.resize(10, kF); + emajor_key.resize(10, kE); + if (bidir) + fmajor_key[2] = emajor_key[2] = kDIVIDER; + else + fmajor_key[1] = kDIVIDER; + } + + protected: + virtual void CountRuleImpl(WordID lhs, + const vector& rhs_f, + const vector& rhs_e, + const vector >& fe_terminal_alignments) { + if (bidir) { // extract rules in "both directions" E->F and F->E + fmajor_key.resize(3 + rhs_f.size()); + emajor_key.resize(3 + rhs_e.size()); + fmajor_val.resize(rhs_e.size()); + emajor_val.resize(rhs_f.size()); + emajor_key[1] = fmajor_key[1] = MapSym(lhs); + int nt = 1; + for (int i = 0; i < rhs_f.size(); ++i) { + const WordID id = rhs_f[i]; + if (id < 0) { + fmajor_key[3 + i] = MapSym(id, nt); + emajor_val[i] = MapSym(id, nt); + ++nt; + } else { + fmajor_key[3 + i] = id; + emajor_val[i] = id; + } + } + for (int i = 0; i < rhs_e.size(); ++i) { + WordID id = rhs_e[i]; + if (id <= 0) { + fmajor_val[i] = index2sym[id]; + emajor_key[3 + i] = index2sym[id]; + } else { + fmajor_val[i] = id; + emajor_key[3 + i] = id; + } + } + combiner.Count(fmajor_key, fmajor_val, kCFE, fe_terminal_alignments); + combiner.Count(emajor_key, emajor_val, kCFE, kEMPTY); + } else { // extract rules only in F->E + fmajor_key.resize(2 + rhs_f.size()); + fmajor_val.resize(rhs_e.size()); + fmajor_key[0] = MapSym(lhs); + int nt = 1; + for (int i = 0; i < rhs_f.size(); ++i) { + const WordID id = rhs_f[i]; + if (id < 0) + fmajor_key[2 + i] = MapSym(id, nt++); + else + fmajor_key[2 + i] = id; + } + for (int i = 0; i < rhs_e.size(); ++i) { + const WordID id = rhs_e[i]; + if (id <= 0) + fmajor_val[i] = index2sym[id]; + else + fmajor_val[i] = id; + } + combiner.Count(fmajor_key, fmajor_val, kCFE, fe_terminal_alignments); + } + } + + private: + WordID MapSym(WordID sym, int ind = 0) { + WordID& r = cat2ind2sym[sym][ind]; + if (!r) { + if (ind == 0) + r = TD::Convert(kLB + TD::Convert(-sym) + kRB); + else + r = TD::Convert(kLB + TD::Convert(-sym) + "," + boost::lexical_cast(ind) + kRB); + } + return r; + } + + const bool bidir; + const WordID kF, kE, kDIVIDER; + const string kLB, kRB; + CountCombiner& combiner; + const vector > kEMPTY; + const int kCFE; + map > cat2ind2sym; + map index2sym; + vector emajor_key, emajor_val, fmajor_key, fmajor_val; +}; + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + kBOS = TD::Convert(""); + kEOS = TD::Convert(""); + kDIVIDER = TD::Convert("|||"); + kGAP = TD::Convert(""); + kCOUNT = FD::Convert("C"); + + WordID default_cat = 0; // 0 means no default- extraction will + // fail if a phrase is extracted without a + // category + if (conf.count("default_category")) { + string sdefault_cat = conf["default_category"].as(); + default_cat = -TD::Convert(sdefault_cat); + cerr << "Default category: " << sdefault_cat << endl; + } else { + cerr << "No default category (use --default_category if you want to set one)\n"; + } + ReadFile rf(conf["input"].as()); + istream& in = *rf.stream(); + + char buf[MAX_LINE_LENGTH]; + AnnotatedParallelSentence sentence; + vector phrases; + const int max_base_phrase_size = conf["max_base_phrase_size"].as(); + const bool write_phrase_contexts = conf.count("phrase_context") > 0; + const bool write_base_phrases = conf.count("base_phrase") > 0; + const bool write_base_phrase_spans = conf.count("base_phrase_spans") > 0; + const bool loose_phrases = conf.count("loose") > 0; + const bool silent = conf.count("silent") > 0; + const int max_syms = conf["max_syms"].as(); + const int max_vars = conf["max_vars"].as(); + const int ctx_size = conf["phrase_context_size"].as(); + const bool permit_adjacent_nonterminals = conf.count("permit_adjacent_nonterminals") > 0; + const bool require_aligned_terminal = conf.count("no_required_aligned_terminal") == 0; + int line = 0; + CountCombiner cc(conf["combiner_size"].as()); + HadoopStreamingRuleObserver o(&cc, + conf.count("bidir") > 0); + //SimpleRuleWriter o; + while(in) { + ++line; + in.getline(buf, MAX_LINE_LENGTH); + if (buf[0] == 0) continue; + if (!silent) { + if (line % 200 == 0) cerr << '.'; + if (line % 8000 == 0) cerr << " [" << line << "]\n" << flush; + } + sentence.ParseInputLine(buf); + phrases.clear(); + Extract::ExtractBasePhrases(max_base_phrase_size, sentence, &phrases); + if (loose_phrases) + Extract::LoosenPhraseBounds(sentence, max_base_phrase_size, &phrases); + if (phrases.empty()) { + cerr << "WARNING no phrases extracted line: " << line << endl; + continue; + } + if (write_phrase_contexts) { + WritePhraseContexts(sentence, phrases, ctx_size, &cc); + continue; + } + if (write_base_phrases) { + WriteBasePhrases(sentence, phrases); + continue; + } + if (write_base_phrase_spans) { + WriteBasePhraseSpans(sentence, phrases); + continue; + } + Extract::AnnotatePhrasesWithCategoryTypes(default_cat, sentence.span_types, &phrases); + Extract::ExtractConsistentRules(sentence, phrases, max_vars, max_syms, permit_adjacent_nonterminals, require_aligned_terminal, &o); + } + if (!silent) cerr << endl; + return 0; +} + diff --git a/extools/filter_grammar.cc b/extools/filter_grammar.cc new file mode 100644 index 00000000..290a77f5 --- /dev/null +++ b/extools/filter_grammar.cc @@ -0,0 +1,202 @@ +/* + * Build suffix tree representation of a data set for grammar filtering + * ./filter_grammar < unfiltered.grammar > filter.grammar + * + */ +#include +#include +#include +#include +#include +#include +#include +#include + +#include "filelib.h" +#include "sentence_pair.h" +#include "suffix_tree.h" +#include "extract.h" +#include "fdict.h" +#include "tdict.h" + +#include +#include +#include + + +using namespace std; +using namespace std::tr1; + +static const size_t MAX_LINE_LENGTH = 64000000; + +typedef unordered_map, RuleStatistics, boost::hash > > ID2RuleStatistics; + + +namespace { + inline bool IsWhitespace(char c) { return c == ' ' || c == '\t'; } + inline bool IsBracket(char c){return c == '[' || c == ']';} + inline void SkipWhitespace(const char* buf, int* ptr) { + while (buf[*ptr] && IsWhitespace(buf[*ptr])) { ++(*ptr); } + } +} + + + +int ReadPhraseUntilDividerOrEnd(const char* buf, const int sstart, const int end, vector* p) { + static const WordID kDIV = TD::Convert("|||"); + + int ptr = sstart; + while(ptr < end) { + while(ptr < end && IsWhitespace(buf[ptr])) { ++ptr; } + int start = ptr; + while(ptr < end && !IsWhitespace(buf[ptr])) { ++ptr; } + if (ptr == start) {cerr << "Warning! empty token.\n"; return ptr; } + //look in the buffer and see if its a nonterminal marker before integerizing it to wordID-anything with [...] or ||| + + const WordID w = TD::Convert(string(buf, start, ptr - start)); + + if((IsBracket(buf[start]) and IsBracket(buf[ptr-1])) or( w == kDIV)) + p->push_back(-1); + else { + if (w == kDIV) return ptr; + p->push_back(w); + } + } + return ptr; +} + + + +void ParseLine(const char* buf, vector* cur_key, ID2RuleStatistics* counts) { + static const WordID kDIV = TD::Convert("|||"); + counts->clear(); + int ptr = 0; + while(buf[ptr] != 0 && buf[ptr] != '\t') { ++ptr; } + if (buf[ptr] != '\t') { + cerr << "Missing tab separator between key and value!\n INPUT=" << buf << endl; + exit(1); + } + cur_key->clear(); + // key is: "[X] ||| word word word" + int tmpp = ReadPhraseUntilDividerOrEnd(buf, 0, ptr, cur_key); + cur_key->push_back(kDIV); + ReadPhraseUntilDividerOrEnd(buf, tmpp, ptr, cur_key); + ++ptr; + int start = ptr; + int end = ptr; + int state = 0; // 0=reading label, 1=reading count + vector name; + while(buf[ptr] != 0) { + while(buf[ptr] != 0 && buf[ptr] != '|') { ++ptr; } + if (buf[ptr] == '|') { + ++ptr; + if (buf[ptr] == '|') { + ++ptr; + if (buf[ptr] == '|') { + ++ptr; + end = ptr - 3; + while (end > start && IsWhitespace(buf[end-1])) { --end; } + if (start == end) { + cerr << "Got empty token!\n LINE=" << buf << endl; + exit(1); + } + switch (state) { + case 0: ++state; name.clear(); ReadPhraseUntilDividerOrEnd(buf, start, end, &name); break; + case 1: --state; (*counts)[name].ParseRuleStatistics(buf, start, end); break; + default: cerr << "Can't happen\n"; abort(); + } + SkipWhitespace(buf, &ptr); + start = ptr; + } + } + } + } + end=ptr; + while (end > start && IsWhitespace(buf[end-1])) { --end; } + if (end > start) { + switch (state) { + case 0: ++state; name.clear(); ReadPhraseUntilDividerOrEnd(buf, start, end, &name); break; + case 1: --state; (*counts)[name].ParseRuleStatistics(buf, start, end); break; + default: cerr << "Can't happen\n"; abort(); + } + } +} + + + + + + + +int main(int argc, char* argv[]){ + if (argc != 2) { + cerr << "Usage: " << argv[0] << " testset.txt < unfiltered.grammar\n"; + return 1; + } + + assert(FileExists(argv[1])); + ReadFile rfts(argv[1]); + istream& testSet = *rfts.stream(); + ofstream filter_grammar_; + bool DEBUG = false; + + + AnnotatedParallelSentence sent; + char* buf = new char[MAX_LINE_LENGTH]; + cerr << "Build suffix tree from test set in " << argv[1] << endl; + //root of the suffix tree + Node root; + int line=0; + + /* process the data set to build suffix tree + */ + while(!testSet.eof()) { + ++line; + testSet.getline(buf, MAX_LINE_LENGTH); + if (buf[0] == 0) continue; + + //hack to read in the test set using the alignedparallelsentence methods + strcat(buf," ||| fake ||| 0-0"); + sent.ParseInputLine(buf); + + if (DEBUG)cerr << line << "||| " << buf << " -- " << sent.f_len << endl; + + //add each successive suffix to the tree + for(int i =0;i cur_key; + line = 0; + + while(cin) + { + ++line; + cin.getline(buf, MAX_LINE_LENGTH); + if (buf[0] == 0) continue; + ParseLine(buf, &cur_key, &cur_counts); + const Node* curnode = &root; + for(int i=0;i + +class LexTranslationTable +{ + public: + + std::map < std::pair,int > word_translation; + std::map total_foreign; + std::map total_english; + void createTTable(const char* buf); + +}; + +#endif /* LEX_TRANS_TBL_H_ */ diff --git a/extools/merge_lines.pl b/extools/merge_lines.pl new file mode 100755 index 00000000..8711e4ce --- /dev/null +++ b/extools/merge_lines.pl @@ -0,0 +1,43 @@ +#!/usr/bin/perl -w +use strict; + +if (scalar @ARGV < 2) { + die "Usage: $0 file1.txt file2.txt ...\n\n Concatenate the nth line of each input file. All files\n must be the same length.\n\n"; +} + +my @fhs=(); +for my $file (@ARGV) { + my $fh; + open $fh, "<$file" or die "Can't read $file: $!\n"; + push @fhs, $fh; +} + +my $first = shift @fhs; + +while(my $x = <$first>) { + my $ind = 0; + chomp $x; + my @fields = ($x); + for my $fh (@fhs) { + $ind++; + $x = <$fh>; + die "ERROR: Mismatched number of lines: $ARGV[$ind]\n" unless $x; + chomp $x; + push @fields, $x; + } + print join ' ||| ', @fields; + print "\n"; +} +my $ind = 0; +for my $fh (@fhs) { + $ind++; + my $x=<$fh>; + die "ERROR: $ARGV[$ind] has extra lines!\n" if $x; +} + +exit 0; + +for my $fh (@fhs) { + close $fh; +} + diff --git a/extools/mr_stripe_rule_reduce.cc b/extools/mr_stripe_rule_reduce.cc new file mode 100644 index 00000000..eaf1b6d7 --- /dev/null +++ b/extools/mr_stripe_rule_reduce.cc @@ -0,0 +1,242 @@ +#include +#include +#include +#include +#include + +#include +#include +#include + +#include "tdict.h" +#include "sentence_pair.h" +#include "fdict.h" +#include "extract.h" + +using namespace std; +using namespace std::tr1; +namespace po = boost::program_options; + +static const size_t MAX_LINE_LENGTH = 64000000; + +bool use_hadoop_counters = false; + +namespace { + inline bool IsWhitespace(char c) { return c == ' ' || c == '\t'; } + + inline void SkipWhitespace(const char* buf, int* ptr) { + while (buf[*ptr] && IsWhitespace(buf[*ptr])) { ++(*ptr); } + } +} +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("phrase_marginals,p", "Compute phrase marginals") + ("use_hadoop_counters,C", "Enable this if running inside Hadoop") + ("bidir,b", "Rules are tagged as being F->E or E->F, invert E rules in output") + ("help,h", "Print this help message and exit"); + po::options_description clo("Command line options"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + po::notify(*conf); + + if (conf->count("help")) { + cerr << "\nUsage: mr_stripe_rule_reduce [-options]\n"; + cerr << dcmdline_options << endl; + exit(1); + } +} + +typedef unordered_map, RuleStatistics, boost::hash > > ID2RuleStatistics; + +void PlusEquals(const ID2RuleStatistics& v, ID2RuleStatistics* self) { + for (ID2RuleStatistics::const_iterator it = v.begin(); it != v.end(); ++it) { + RuleStatistics& dest = (*self)[it->first]; + dest += it->second; + // TODO - do something smarter about alignments? + if (dest.aligns.empty() && !it->second.aligns.empty()) + dest.aligns = it->second.aligns; + } +} + +int ReadPhraseUntilDividerOrEnd(const char* buf, const int sstart, const int end, vector* p) { + static const WordID kDIV = TD::Convert("|||"); + int ptr = sstart; + while(ptr < end) { + while(ptr < end && IsWhitespace(buf[ptr])) { ++ptr; } + int start = ptr; + while(ptr < end && !IsWhitespace(buf[ptr])) { ++ptr; } + if (ptr == start) {cerr << "Warning! empty token.\n"; return ptr; } + const WordID w = TD::Convert(string(buf, start, ptr - start)); + if (w == kDIV) return ptr; + p->push_back(w); + } + return ptr; +} + +void ParseLine(const char* buf, vector* cur_key, ID2RuleStatistics* counts) { + static const WordID kDIV = TD::Convert("|||"); + counts->clear(); + int ptr = 0; + while(buf[ptr] != 0 && buf[ptr] != '\t') { ++ptr; } + if (buf[ptr] != '\t') { + cerr << "Missing tab separator between key and value!\n INPUT=" << buf << endl; + exit(1); + } + cur_key->clear(); + // key is: "[X] ||| word word word" + int tmpp = ReadPhraseUntilDividerOrEnd(buf, 0, ptr, cur_key); + if (buf[tmpp] != '\t') { + cur_key->push_back(kDIV); + ReadPhraseUntilDividerOrEnd(buf, tmpp, ptr, cur_key); + } + ++ptr; + int start = ptr; + int end = ptr; + int state = 0; // 0=reading label, 1=reading count + vector name; + while(buf[ptr] != 0) { + while(buf[ptr] != 0 && buf[ptr] != '|') { ++ptr; } + if (buf[ptr] == '|') { + ++ptr; + if (buf[ptr] == '|') { + ++ptr; + if (buf[ptr] == '|') { + ++ptr; + end = ptr - 3; + while (end > start && IsWhitespace(buf[end-1])) { --end; } + if (start == end) { + cerr << "Got empty token!\n LINE=" << buf << endl; + exit(1); + } + switch (state) { + case 0: ++state; name.clear(); ReadPhraseUntilDividerOrEnd(buf, start, end, &name); break; + case 1: --state; (*counts)[name].ParseRuleStatistics(buf, start, end); break; + default: cerr << "Can't happen\n"; abort(); + } + SkipWhitespace(buf, &ptr); + start = ptr; + } + } + } + } + end=ptr; + while (end > start && IsWhitespace(buf[end-1])) { --end; } + if (end > start) { + switch (state) { + case 0: ++state; name.clear(); ReadPhraseUntilDividerOrEnd(buf, start, end, &name); break; + case 1: --state; (*counts)[name].ParseRuleStatistics(buf, start, end); break; + default: cerr << "Can't happen\n"; abort(); + } + } +} + +void WriteKeyValue(const vector& key, const ID2RuleStatistics& val) { + cout << TD::GetString(key) << '\t'; + bool needdiv = false; + for (ID2RuleStatistics::const_iterator it = val.begin(); it != val.end(); ++it) { + if (needdiv) cout << " ||| "; else needdiv = true; + cout << TD::GetString(it->first) << " ||| " << it->second; + } + cout << endl; + if (use_hadoop_counters) cerr << "reporter:counter:UserCounters,RuleCount," << val.size() << endl; +} + +void DoPhraseMarginals(const vector& key, const bool bidir, ID2RuleStatistics* val) { + static const WordID kF = TD::Convert("F"); + static const WordID kE = TD::Convert("E"); + static const int kCF = FD::Convert("CF"); + static const int kCE = FD::Convert("CE"); + static const int kCFE = FD::Convert("CFE"); + assert(key.size() > 0); + int cur_marginal_id = kCF; + if (bidir) { + if (key[0] != kF && key[0] != kE) { + cerr << "DoPhraseMarginals expects keys to have the from 'F|E [NT] word word word'\n"; + cerr << " but got: " << TD::GetString(key) << endl; + exit(1); + } + if (key[0] == kE) cur_marginal_id = kCE; + } + double tot = 0; + for (ID2RuleStatistics::iterator it = val->begin(); it != val->end(); ++it) + tot += it->second.counts.value(kCFE); + for (ID2RuleStatistics::iterator it = val->begin(); it != val->end(); ++it) { + it->second.counts.set_value(cur_marginal_id, tot); + + // prevent double counting of the joint + if (cur_marginal_id == kCE) it->second.counts.clear_value(kCFE); + } +} + +void WriteWithInversions(const vector& key, const ID2RuleStatistics& val) { + static const WordID kE = TD::Convert("E"); + static const WordID kDIV = TD::Convert("|||"); + vector new_key(key.size() - 1); + for (int i = 1; i < key.size(); ++i) + new_key[i - 1] = key[i]; + const bool do_invert = (key[0] == kE); + if (!do_invert) { + WriteKeyValue(new_key, val); + } else { + ID2RuleStatistics inv; + assert(new_key.size() > 2); + vector tk(new_key.size() - 2); + for (int i = 0; i < tk.size(); ++i) + tk[i] = new_key[2 + i]; + RuleStatistics& inv_stats = inv[tk]; + for (ID2RuleStatistics::const_iterator it = val.begin(); it != val.end(); ++it) { + inv_stats.counts = it->second.counts; + vector ekey(2 + it->first.size()); + ekey[0] = key[1]; + ekey[1] = kDIV; + for (int i = 0; i < it->first.size(); ++i) + ekey[2+i] = it->first[i]; + WriteKeyValue(ekey, inv); + } + } +} + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + + char* buf = new char[MAX_LINE_LENGTH]; + ID2RuleStatistics acc, cur_counts; + vector key, cur_key; + int line = 0; + use_hadoop_counters = conf.count("use_hadoop_counters") > 0; + const bool phrase_marginals = conf.count("phrase_marginals") > 0; + const bool bidir = conf.count("bidir") > 0; + while(cin) { + ++line; + cin.getline(buf, MAX_LINE_LENGTH); + if (buf[0] == 0) continue; + ParseLine(buf, &cur_key, &cur_counts); + if (cur_key != key) { + if (key.size() > 0) { + if (phrase_marginals) + DoPhraseMarginals(key, bidir, &acc); + if (bidir) + WriteWithInversions(key, acc); + else + WriteKeyValue(key, acc); + acc.clear(); + } + key = cur_key; + } + PlusEquals(cur_counts, &acc); + } + if (key.size() > 0) { + if (phrase_marginals) + DoPhraseMarginals(key, bidir, &acc); + if (bidir) + WriteWithInversions(key, acc); + else + WriteKeyValue(key, acc); + } + return 0; +} + diff --git a/extools/score_grammar.cc b/extools/score_grammar.cc new file mode 100644 index 00000000..534b6295 --- /dev/null +++ b/extools/score_grammar.cc @@ -0,0 +1,346 @@ +/* + * Score a grammar in striped format + * ./score_grammar < filtered.grammar > scored.grammar + */ +#include +#include +#include +#include +#include +#include +#include +#include + +#include "sentence_pair.h" +#include "extract.h" +#include "fdict.h" +#include "tdict.h" +#include "lex_trans_tbl.h" +#include "filelib.h" + +#include +#include +#include + +using namespace std; +using namespace std::tr1; + + +static const size_t MAX_LINE_LENGTH = 64000000; + +typedef unordered_map, RuleStatistics, boost::hash > > ID2RuleStatistics; + + +namespace { + inline bool IsWhitespace(char c) { return c == ' ' || c == '\t'; } + inline bool IsBracket(char c){return c == '[' || c == ']';} + inline void SkipWhitespace(const char* buf, int* ptr) { + while (buf[*ptr] && IsWhitespace(buf[*ptr])) { ++(*ptr); } + } +} + +int ReadPhraseUntilDividerOrEnd(const char* buf, const int sstart, const int end, vector* p) { + static const WordID kDIV = TD::Convert("|||"); + int ptr = sstart; + while(ptr < end) { + while(ptr < end && IsWhitespace(buf[ptr])) { ++ptr; } + int start = ptr; + while(ptr < end && !IsWhitespace(buf[ptr])) { ++ptr; } + if (ptr == start) {cerr << "Warning! empty token.\n"; return ptr; } + const WordID w = TD::Convert(string(buf, start, ptr - start)); + + if((IsBracket(buf[start]) and IsBracket(buf[ptr-1])) or( w == kDIV)) + p->push_back(1 * w); + else { + if (w == kDIV) return ptr; + p->push_back(w); + } + } + return ptr; +} + + +void ParseLine(const char* buf, vector* cur_key, ID2RuleStatistics* counts) { + static const WordID kDIV = TD::Convert("|||"); + counts->clear(); + int ptr = 0; + while(buf[ptr] != 0 && buf[ptr] != '\t') { ++ptr; } + if (buf[ptr] != '\t') { + cerr << "Missing tab separator between key and value!\n INPUT=" << buf << endl; + exit(1); + } + cur_key->clear(); + // key is: "[X] ||| word word word" + int tmpp = ReadPhraseUntilDividerOrEnd(buf, 0, ptr, cur_key); + cur_key->push_back(kDIV); + ReadPhraseUntilDividerOrEnd(buf, tmpp, ptr, cur_key); + ++ptr; + int start = ptr; + int end = ptr; + int state = 0; // 0=reading label, 1=reading count + vector name; + while(buf[ptr] != 0) { + while(buf[ptr] != 0 && buf[ptr] != '|') { ++ptr; } + if (buf[ptr] == '|') { + ++ptr; + if (buf[ptr] == '|') { + ++ptr; + if (buf[ptr] == '|') { + ++ptr; + end = ptr - 3; + while (end > start && IsWhitespace(buf[end-1])) { --end; } + if (start == end) { + cerr << "Got empty token!\n LINE=" << buf << endl; + exit(1); + } + switch (state) { + case 0: ++state; name.clear(); ReadPhraseUntilDividerOrEnd(buf, start, end, &name); break; + case 1: --state; (*counts)[name].ParseRuleStatistics(buf, start, end); break; + default: cerr << "Can't happen\n"; abort(); + } + SkipWhitespace(buf, &ptr); + start = ptr; + } + } + } + } + end=ptr; + while (end > start && IsWhitespace(buf[end-1])) { --end; } + if (end > start) { + switch (state) { + case 0: ++state; name.clear(); ReadPhraseUntilDividerOrEnd(buf, start, end, &name); break; + case 1: --state; (*counts)[name].ParseRuleStatistics(buf, start, end); break; + default: cerr << "Can't happen\n"; abort(); + } + } +} + + + +void LexTranslationTable::createTTable(const char* buf){ + + bool DEBUG = false; + + AnnotatedParallelSentence sent; + + sent.ParseInputLine(buf); + + //iterate over the alignment to compute aligned words + + for(int i =0;i (sent.f[i], sent.e[j])]; + ++total_foreign[sent.f[i]]; + ++total_english[sent.e[j]]; + } + } + if (DEBUG) cerr << endl; + } + if (DEBUG) cerr << endl; + + static const WordID NULL_ = TD::Convert("NULL"); + //handle unaligned words - align them to null + for (int j =0; j < sent.e_len; j++) + { + if (sent.e_aligned[j]) continue; + ++word_translation[pair (NULL_, sent.e[j])]; + ++total_foreign[NULL_]; + ++total_english[sent.e[j]]; + } + + for (int i =0; i < sent.f_len; i++) + { + if (sent.f_aligned[i]) continue; + ++word_translation[pair (sent.f[i], NULL_)]; + ++total_english[NULL_]; + ++total_foreign[sent.f[i]]; + } + +} + + +inline float safenlog(float v) { + if (v == 1.0f) return 0.0f; + float res = -log(v); + if (res > 100.0f) res = 100.0f; + return res; +} + +int main(int argc, char** argv){ + bool DEBUG= false; + if (argc != 2) { + cerr << "Usage: " << argv[0] << " corpus.al < filtered.grammar\n"; + return 1; + } + ifstream alignment (argv[1]); + istream& unscored_grammar = cin; + ostream& scored_grammar = cout; + + //create lexical translation table + cerr << "Creating table..." << endl; + char* buf = new char[MAX_LINE_LENGTH]; + + LexTranslationTable table; + + while(!alignment.eof()) + { + alignment.getline(buf, MAX_LINE_LENGTH); + if (buf[0] == 0) continue; + + table.createTTable(buf); + } + + bool PRINT_TABLE=false; + if (PRINT_TABLE) + { + ofstream trans_table; + trans_table.open("lex_trans_table.out"); + for(map < pair,int >::iterator it = table.word_translation.begin(); it != table.word_translation.end(); ++it) + { + trans_table << TD::Convert(it->first.first) << "|||" << TD::Convert(it->first.second) << "==" << it->second << "//" << table.total_foreign[it->first.first] << "//" << table.total_english[it->first.second] << endl; + } + + trans_table.close(); + } + + + //score unscored grammar + cerr <<"Scoring grammar..." << endl; + + ID2RuleStatistics acc, cur_counts; + vector key, cur_key,temp_key; + vector< pair > al; + vector< pair >::iterator ita; + int line = 0; + + static const int kCF = FD::Convert("CF"); + static const int kCE = FD::Convert("CE"); + static const int kCFE = FD::Convert("CFE"); + + while(!unscored_grammar.eof()) + { + ++line; + unscored_grammar.getline(buf, MAX_LINE_LENGTH); + if (buf[0] == 0) continue; + ParseLine(buf, &cur_key, &cur_counts); + + //loop over all the Target side phrases that this source aligns to + for (ID2RuleStatistics::const_iterator it = cur_counts.begin(); it != cur_counts.end(); ++it) + { + + /*Compute phrase translation prob. + Print out scores in this format: + Phrase trnaslation prob P(F|E) + Phrase translation prob P(E|F) + Lexical weighting prob lex(F|E) + Lexical weighting prob lex(E|F) + */ + + float pEF_ = it->second.counts.value(kCFE) / it->second.counts.value(kCF); + float pFE_ = it->second.counts.value(kCFE) / it->second.counts.value(kCE); + + map > foreign_aligned; + map > english_aligned; + + //Loop over all the alignment points to compute lexical translation probability + al = it->second.aligns; + for(ita = al.begin(); ita != al.end(); ++ita) + { + + if (DEBUG) + { + cerr << "\nA:" << ita->first << "," << ita->second << "::"; + cerr << TD::Convert(cur_key[ita->first + 2]) << "-" << TD::Convert(it->first[ita->second]); + } + + + //Lookup this alignment probability in the table + int temp = table.word_translation[pair (cur_key[ita->first+2],it->first[ita->second])]; + float f2e=0, e2f=0; + if ( table.total_foreign[cur_key[ita->first+2]] != 0) + f2e = (float) temp / table.total_foreign[cur_key[ita->first+2]]; + if ( table.total_english[it->first[ita->second]] !=0 ) + e2f = (float) temp / table.total_english[it->first[ita->second]]; + if (DEBUG) printf (" %d %E %E\n", temp, f2e, e2f); + + + //local counts to keep track of which things haven't been aligned, to later compute their null alignment + if (foreign_aligned.count(cur_key[ita->first+2])) + { + foreign_aligned[ cur_key[ita->first+2] ].first++; + foreign_aligned[ cur_key[ita->first+2] ].second += e2f; + } + else + foreign_aligned [ cur_key[ita->first+2] ] = pair (1,e2f); + + + + if (english_aligned.count( it->first[ ita->second] )) + { + english_aligned[ it->first[ ita->second ]].first++; + english_aligned[ it->first[ ita->second] ].second += f2e; + } + else + english_aligned [ it->first[ ita->second] ] = pair (1,f2e); + + + + + } + + float final_lex_f2e=1, final_lex_e2f=1; + static const WordID NULL_ = TD::Convert("NULL"); + + //compute lexical weight P(F|E) and include unaligned foreign words + for(int i=0;i temp_lex_prob = foreign_aligned[cur_key[i]]; + final_lex_e2f *= temp_lex_prob.second / temp_lex_prob.first; + } + else //dealing with null alignment + { + int temp_count = table.word_translation[pair (cur_key[i],NULL_)]; + float temp_e2f = (float) temp_count / table.total_english[NULL_]; + final_lex_e2f *= temp_e2f; + } + + } + + //compute P(E|F) unaligned english words + for(int j=0; j< it->first.size(); j++) + { + if (!table.total_english.count(it->first[j])) continue; + + if (english_aligned.count(it->first[j])) + { + pair temp_lex_prob = english_aligned[it->first[j]]; + final_lex_f2e *= temp_lex_prob.second / temp_lex_prob.first; + } + else //dealing with null + { + int temp_count = table.word_translation[pair (NULL_,it->first[j])]; + float temp_f2e = (float) temp_count / table.total_foreign[NULL_]; + final_lex_f2e *= temp_f2e; + } + } + + + scored_grammar << TD::GetString(cur_key); + scored_grammar << " " << TD::GetString(it->first) << " |||"; + scored_grammar << " " << safenlog(pFE_) << " " << safenlog(pEF_); + scored_grammar << " " << safenlog(final_lex_e2f) << " " << safenlog(final_lex_f2e) << endl; + } + } +} + diff --git a/extools/sentence_pair.cc b/extools/sentence_pair.cc new file mode 100644 index 00000000..91286059 --- /dev/null +++ b/extools/sentence_pair.cc @@ -0,0 +1,155 @@ +#include "sentence_pair.h" + +#include +#include +#include +#include +#include +#include + +#include "tdict.h" +#include "wordid.h" +#include "array2d.h" + +using namespace std; + +namespace { + inline bool IsWhitespace(char c) { return c == ' ' || c == '\t'; } + + inline void SkipWhitespace(const char* buf, int* ptr) { + while (buf[*ptr] && IsWhitespace(buf[*ptr])) { ++(*ptr); } + } +} + +void AnnotatedParallelSentence::Reset() { + f.clear(); + e.clear(); + e_aligned.clear(); + f_aligned.clear(); + aligns_by_fword.clear(); + aligned.clear(); + span_types.clear(); +} + +void AnnotatedParallelSentence::AllocateForAlignment() { + f_len = f.size(); + e_len = e.size(); + aligned.resize(f_len, e_len, false); + f_aligned.resize(f_len, 0); + e_aligned.resize(e_len, 0); + aligns_by_fword.resize(f_len); + span_types.resize(e_len, e_len+1); +} + +// read an alignment point of the form X-Y where X and Y are strings +// of digits. if permit_col is true, the right edge will be determined +// by the presence of a colon +int AnnotatedParallelSentence::ReadAlignmentPoint(const char* buf, + const int start, + const int end, + const bool permit_col, + short* a, + short* b) { + if (end - start < 3) { + cerr << "Alignment point badly formed: " << string(buf, start, end-start) << endl; abort(); + } + int c = start; + *a = 0; + while(c < end && buf[c] != '-') { + if (buf[c] < '0' || buf[c] > '9') { + cerr << "Alignment point badly formed: " << string(buf, start, end-start) << endl; + abort(); + } + (*a) *= 10; + (*a) += buf[c] - '0'; + ++c; + } + ++c; + if (c >= end) { + cerr << "Alignment point badly formed: " << string(buf, start, end-start) << endl; abort(); + } + (*b) = 0; + while(c < end && (!permit_col || (permit_col && buf[c] != ':'))) { + if (buf[c] < '0' || buf[c] > '9') { + cerr << "Alignment point badly formed: " << string(buf, start, end-start) << endl; + abort(); + } + (*b) *= 10; + (*b) += buf[c] - '0'; + ++c; + } + return c; +} + +void AnnotatedParallelSentence::ParseAlignmentPoint(const char* buf, int start, int end) { + short a, b; + ReadAlignmentPoint(buf, start, end, false, &a, &b); + assert(a < f_len); + assert(b < e_len); + aligned(a,b) = true; + ++f_aligned[a]; + ++e_aligned[b]; + aligns_by_fword[a].push_back(make_pair(a,b)); + // cerr << a << " " << b << endl; +} + +void AnnotatedParallelSentence::ParseSpanLabel(const char* buf, int start, int end) { + short a,b; + int c = ReadAlignmentPoint(buf, start, end, true, &a, &b) + 1; + if (buf[c-1] != ':' || c >= end) { + cerr << "Span badly formed: " << string(buf, start, end-start) << endl; abort(); + } + // cerr << a << " " << b << " " << string(buf,c,end-c) << endl; + span_types(a,b).push_back(-TD::Convert(string(buf, c, end-c))); +} + +// INPUT FORMAT +// ein haus ||| a house ||| 0-0 1-1 ||| 0-0:DT 1-1:NN 0-1:NP +void AnnotatedParallelSentence::ParseInputLine(const char* buf) { + Reset(); + int ptr = 0; + SkipWhitespace(buf, &ptr); + int start = ptr; + int state = 0; // 0 = French, 1 = English, 2 = Alignment, 3 = Spans + while(char c = buf[ptr]) { + if (!IsWhitespace(c)) { ++ptr; continue; } else { + if (ptr - start == 3 && buf[start] == '|' && buf[start+1] == '|' && buf[start+2] == '|') { + ++state; + if (state == 4) { cerr << "Too many fields (ignoring):\n " << buf << endl; return; } + if (state == 2) { + // cerr << "FLEN=" << f->size() << " ELEN=" << e->size() << endl; + AllocateForAlignment(); + } + SkipWhitespace(buf, &ptr); + start = ptr; + continue; + } + switch (state) { + case 0: f.push_back(TD::Convert(string(buf, start, ptr-start))); break; + case 1: e.push_back(TD::Convert(string(buf, start, ptr-start))); break; + case 2: ParseAlignmentPoint(buf, start, ptr); break; + case 3: ParseSpanLabel(buf, start, ptr); break; + default: cerr << "Can't happen\n"; abort(); + } + SkipWhitespace(buf, &ptr); + start = ptr; + } + } + if (ptr > start) { + switch (state) { + case 0: f.push_back(TD::Convert(string(buf, start, ptr-start))); break; + case 1: e.push_back(TD::Convert(string(buf, start, ptr-start))); break; + case 2: ParseAlignmentPoint(buf, start, ptr); break; + case 3: ParseSpanLabel(buf, start, ptr); break; + default: cerr << "Can't happen\n"; abort(); + } + } + if (state < 2) { + cerr << "Not enough fields: " << buf << endl; + abort(); + } + if (e.empty() || f.empty()) { + cerr << "Sentences must not be empty: " << buf << endl; + } +} + diff --git a/extools/sentence_pair.h b/extools/sentence_pair.h new file mode 100644 index 00000000..d78be359 --- /dev/null +++ b/extools/sentence_pair.h @@ -0,0 +1,39 @@ +#ifndef _SENTENCE_PAIR_H_ +#define _SENTENCE_PAIR_H_ + +#include +#include +#include "wordid.h" +#include "array2d.h" + +// represents a parallel sentence with a word alignment and category +// annotations over subspans (currently in terms of f) +// you should read one using ParseInputLine and then use the public +// member variables to query things about it +struct AnnotatedParallelSentence { + // read annotated parallel sentence from string + void ParseInputLine(const char* buf); + + std::vector f, e; // words in f and e + + // word alignment information + std::vector e_aligned, f_aligned; // counts the number of times column/row x is aligned + Array2D aligned; + std::vector > > aligns_by_fword; + + // span type information + Array2D > span_types; // span_types(i,j) is the list of category + // types for a span (i,j) in the TARGET language. + + int f_len, e_len; + + static int ReadAlignmentPoint(const char* buf, int start, int end, bool permit_col, short* a, short* b); + + private: + void Reset(); + void AllocateForAlignment(); + void ParseAlignmentPoint(const char* buf, int start, int end); + void ParseSpanLabel(const char* buf, int start, int end); +}; + +#endif diff --git a/extools/simple-extract-context.sh b/extools/simple-extract-context.sh new file mode 100755 index 00000000..17487b1c --- /dev/null +++ b/extools/simple-extract-context.sh @@ -0,0 +1,9 @@ +#!/bin/bash + +MYDIR=$(dirname $0) + +export LANG=C +date 1>&2 +$MYDIR/extractor -i $1 -c 500000 -L 12 -C | sort -t $'\t' -k 1 | $MYDIR/mr_stripe_rule_reduce +date 1>&2 + diff --git a/extools/simple-extract.sh b/extools/simple-extract.sh new file mode 100755 index 00000000..7d9f439d --- /dev/null +++ b/extools/simple-extract.sh @@ -0,0 +1,11 @@ +#!/bin/bash + +export LANG=C +date +./extractor -i $1 -d X -c 500000 -L 12 -b | sort -t $'\t' -k 1 | gzip > ex.output.gz +date +# -p = compute phrase marginals +# -b = bidirectional rules (starting with F or E) were extracted +gzcat ex.output.gz | ./mr_stripe_rule_reduce -p -b | sort -t $'\t' -k 1 | ./mr_stripe_rule_reduce | gzip > phrase-table.gz +date + diff --git a/extools/suffix_tree.h b/extools/suffix_tree.h new file mode 100644 index 00000000..d3a9c08e --- /dev/null +++ b/extools/suffix_tree.h @@ -0,0 +1,38 @@ +/* + * suffix_tree.h + * + * Created on: May 17, 2010 + * Author: Vlad + */ + +#ifndef SUFFIX_TREE_H_ +#define SUFFIX_TREE_H_ + +#include +#include +#include + +template +class Node { + public: + std::map edge_list_; + int InsertPath(const std::vector& p, int start, int end); + const Node* Extend(const T& e) const { + typename std::map::const_iterator it = edge_list_.find(e); + if (it == edge_list_.end()) return NULL; + return &it->second; + } +}; + +bool DEBUG = false; + +template +int Node::InsertPath(const std::vector& p, int start, int end){ + Node* currNode = this; + for(int i=start;i<= end; i++ ) { + currNode = &(currNode->edge_list_)[p[i]]; + } + return 1; +} + +#endif /* SUFFIX_TRIE_H_ */ diff --git a/extools/test_data/README b/extools/test_data/README new file mode 100644 index 00000000..e368cffc --- /dev/null +++ b/extools/test_data/README @@ -0,0 +1,10 @@ +The following was used to create the test data. The real inputs +were corpus.fr, corpus.en, and corpus.aligned. The generated files +were corpus.len_cats and fr-en.al.len. + + + ./make_len_cats.pl corpus.en > corpus.len_cats + + ../merge_lines.pl corpus.fr corpus.en corpus.aligned corpus.len_cats > fr-en.al.len + + diff --git a/extools/test_data/corpus.aligned b/extools/test_data/corpus.aligned new file mode 100644 index 00000000..aa09e9ab --- /dev/null +++ b/extools/test_data/corpus.aligned @@ -0,0 +1,5 @@ +0-0 1-2 2-1 +0-0 1-1 +0-0 0-1 1-0 1-1 2-0 2-1 3-2 4-3 +0-0 +0-0 1-1 diff --git a/extools/test_data/corpus.en b/extools/test_data/corpus.en new file mode 100644 index 00000000..2d4751bf --- /dev/null +++ b/extools/test_data/corpus.en @@ -0,0 +1,5 @@ +the blue house +the hat +there is a hat +cap +the cat diff --git a/extools/test_data/corpus.fr b/extools/test_data/corpus.fr new file mode 100644 index 00000000..75b5e127 --- /dev/null +++ b/extools/test_data/corpus.fr @@ -0,0 +1,5 @@ +la maison bleue +le chapeau +il y a un chapeau +chapeau +le chat diff --git a/extools/test_data/corpus.len_cats b/extools/test_data/corpus.len_cats new file mode 100644 index 00000000..18d321de --- /dev/null +++ b/extools/test_data/corpus.len_cats @@ -0,0 +1,5 @@ +0-1:SHORT 0-2:SHORT 0-3:MID 1-2:SHORT 1-3:SHORT 2-3:SHORT +0-1:SHORT 0-2:SHORT 1-2:SHORT +0-1:SHORT 0-2:SHORT 0-3:MID 0-4:MID 1-2:SHORT 1-3:SHORT 1-4:MID 2-3:SHORT 2-4:SHORT 3-4:SHORT +0-1:SHORT +0-1:SHORT 0-2:SHORT 1-2:SHORT diff --git a/extools/test_data/fr-en.al.len b/extools/test_data/fr-en.al.len new file mode 100644 index 00000000..7ee6b85d --- /dev/null +++ b/extools/test_data/fr-en.al.len @@ -0,0 +1,5 @@ +la maison bleue ||| the blue house ||| 0-0 1-2 2-1 ||| 0-1:SHORT 0-2:SHORT 0-3:MID 1-2:SHORT 1-3:SHORT 2-3:SHORT +le chapeau ||| the hat ||| 0-0 1-1 ||| 0-1:SHORT 0-2:SHORT 1-2:SHORT +il y a un chapeau ||| there is a hat ||| 0-0 0-1 1-0 1-1 2-0 2-1 3-2 4-3 ||| 0-1:SHORT 0-2:SHORT 0-3:MID 0-4:MID 1-2:SHORT 1-3:SHORT 1-4:MID 2-3:SHORT 2-4:SHORT 3-4:SHORT +chapeau ||| cap ||| 0-0 ||| 0-1:SHORT +le chat ||| the cat ||| 0-0 1-1 ||| 0-1:SHORT 0-2:SHORT 1-2:SHORT diff --git a/extools/test_data/make_len_cats.pl b/extools/test_data/make_len_cats.pl new file mode 100755 index 00000000..25ef75fa --- /dev/null +++ b/extools/test_data/make_len_cats.pl @@ -0,0 +1,23 @@ +#!/usr/bin/perl -w +use strict; + +my $max_len = 15; +my @cat_names = qw( NULL SHORT SHORT MID MID MID LONG LONG LONG LONG LONG VLONG VLONG VLONG VLONG VLONG ); + +while(<>) { + chomp; + my @words = split /\s+/; + my $len = scalar @words; + my @spans; + for (my $i =0; $i < $len; $i++) { + for (my $k = 1; $k <= $max_len; $k++) { + my $j = $i + $k; + next if ($j > $len); + my $cat = $cat_names[$k]; + die unless $cat; + push @spans, "$i-$j:$cat"; + } + } + print "@spans\n"; +} + diff --git a/m4/boost.m4 b/m4/boost.m4 new file mode 100644 index 00000000..7e0ed075 --- /dev/null +++ b/m4/boost.m4 @@ -0,0 +1,1035 @@ +# boost.m4: Locate Boost headers and libraries for autoconf-based projects. +# Copyright (C) 2007, 2008, 2009 Benoit Sigoure +# +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 3 of the License, or +# (at your option) any later version. +# +# Additional permission under section 7 of the GNU General Public +# License, version 3 ("GPLv3"): +# +# If you convey this file as part of a work that contains a +# configuration script generated by Autoconf, you may do so under +# terms of your choice. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +m4_define([_BOOST_SERIAL], [m4_translit([ +# serial 12 +], [# +], [])]) + +# Original sources can be found at http://github.com/tsuna/boost.m4 +# You can fetch the latest version of the script by doing: +# wget http://github.com/tsuna/boost.m4/raw/master/build-aux/boost.m4 + +# ------ # +# README # +# ------ # + +# This file provides several macros to use the various Boost libraries. +# The first macro is BOOST_REQUIRE. It will simply check if it's possible to +# find the Boost headers of a given (optional) minimum version and it will +# define BOOST_CPPFLAGS accordingly. It will add an option --with-boost to +# your configure so that users can specify non standard locations. +# If the user's environment contains BOOST_ROOT and --with-boost was not +# specified, --with-boost=$BOOST_ROOT is implicitly used. +# For more README and documentation, go to http://github.com/tsuna/boost.m4 +# Note: THESE MACROS ASSUME THAT YOU USE LIBTOOL. If you don't, don't worry, +# simply read the README, it will show you what to do step by step. + +m4_pattern_forbid([^_?BOOST_]) + + +# _BOOST_SED_CPP(SED-PROGRAM, PROGRAM, +# [ACTION-IF-FOUND], [ACTION-IF-NOT-FOUND]) +# -------------------------------------------------------- +# Same as AC_EGREP_CPP, but leave the result in conftest.i. +# PATTERN is *not* overquoted, as in AC_EGREP_CPP. It could be useful +# to turn this into a macro which extracts the value of any macro. +m4_define([_BOOST_SED_CPP], +[AC_LANG_PREPROC_REQUIRE()dnl +AC_REQUIRE([AC_PROG_SED])dnl +AC_LANG_CONFTEST([AC_LANG_SOURCE([[$2]])]) +AS_IF([dnl eval is necessary to expand ac_cpp. +dnl Ultrix and Pyramid sh refuse to redirect output of eval, so use subshell. +dnl Beware of Windows end-of-lines, for instance if we are running +dnl some Windows programs under Wine. In that case, boost/version.hpp +dnl is certainly using "\r\n", but the regular Unix shell will only +dnl strip `\n' with backquotes, not the `\r'. This results in +dnl boost_cv_lib_version='1_37\r' for instance, which breaks +dnl everything else. +dnl Cannot use 'dnl' after [$4] because a trailing dnl may break AC_CACHE_CHECK +(eval "$ac_cpp conftest.$ac_ext") 2>&AS_MESSAGE_LOG_FD | + tr -d '\r' | + $SED -n -e "$1" >conftest.i 2>&1], + [$3], + [$4]) +rm -rf conftest* +])# AC_EGREP_CPP + + + +# BOOST_REQUIRE([VERSION], [ACTION-IF-NOT-FOUND]) +# ----------------------------------------------- +# Look for Boost. If version is given, it must either be a literal of the form +# "X.Y.Z" where X, Y and Z are integers (the ".Z" part being optional) or a +# variable "$var". +# Defines the value BOOST_CPPFLAGS. This macro only checks for headers with +# the required version, it does not check for any of the Boost libraries. +# On # success, defines HAVE_BOOST. On failure, calls the optional +# ACTION-IF-NOT-FOUND action if one was supplied. +# Otherwise aborts with an error message. +AC_DEFUN([BOOST_REQUIRE], +[AC_REQUIRE([AC_PROG_CXX])dnl +AC_REQUIRE([AC_PROG_GREP])dnl +echo "$as_me: this is boost.m4[]_BOOST_SERIAL" >&AS_MESSAGE_LOG_FD +boost_save_IFS=$IFS +boost_version_req=$1 +IFS=. +set x $boost_version_req 0 0 0 +IFS=$boost_save_IFS +shift +boost_version_req=`expr "$[1]" '*' 100000 + "$[2]" '*' 100 + "$[3]"` +AC_ARG_WITH([boost], + [AS_HELP_STRING([--with-boost=DIR], + [prefix of Boost $1 @<:@guess@:>@])])dnl +AC_ARG_VAR([BOOST_ROOT],[Location of Boost installation])dnl +# If BOOST_ROOT is set and the user has not provided a value to +# --with-boost, then treat BOOST_ROOT as if it the user supplied it. +if test x"$BOOST_ROOT" != x; then + if test x"$with_boost" = x; then + AC_MSG_NOTICE([Detected BOOST_ROOT; continuing with --with-boost=$BOOST_ROOT]) + with_boost=$BOOST_ROOT + else + AC_MSG_NOTICE([Detected BOOST_ROOT=$BOOST_ROOT, but overridden by --with-boost=$with_boost]) + fi +fi +AC_SUBST([DISTCHECK_CONFIGURE_FLAGS], + ["$DISTCHECK_CONFIGURE_FLAGS '--with-boost=$with_boost'"]) +boost_save_CPPFLAGS=$CPPFLAGS + AC_CACHE_CHECK([for Boost headers version >= $boost_version_req], + [boost_cv_inc_path], + [boost_cv_inc_path=no +AC_LANG_PUSH([C++])dnl +m4_pattern_allow([^BOOST_VERSION$])dnl + AC_LANG_CONFTEST([AC_LANG_PROGRAM([[#include +#if !defined BOOST_VERSION +# error BOOST_VERSION is not defined +#elif BOOST_VERSION < $boost_version_req +# error Boost headers version < $boost_version_req +#endif +]])]) + # If the user provided a value to --with-boost, use it and only it. + case $with_boost in #( + ''|yes) set x '' /opt/local/include /usr/local/include /opt/include \ + /usr/include C:/Boost/include;; #( + *) set x "$with_boost/include" "$with_boost";; + esac + shift + for boost_dir + do + # Without --layout=system, Boost (or at least some versions) installs + # itself in /include/boost-. This inner loop helps to + # find headers in such directories. + # + # Any ${boost_dir}/boost-x_xx directories are searched in reverse version + # order followed by ${boost_dir}. The final '.' is a sentinel for + # searching $boost_dir" itself. Entries are whitespace separated. + # + # I didn't indent this loop on purpose (to avoid over-indented code) + boost_layout_system_search_list=`cd "$boost_dir" 2>/dev/null \ + && ls -1 | "${GREP}" '^boost-' | sort -rn -t- -k2 \ + && echo .` + for boost_inc in $boost_layout_system_search_list + do + if test x"$boost_inc" != x.; then + boost_inc="$boost_dir/$boost_inc" + else + boost_inc="$boost_dir" # Uses sentinel in boost_layout_system_search_list + fi + if test x"$boost_inc" != x; then + # We are going to check whether the version of Boost installed + # in $boost_inc is usable by running a compilation that + # #includes it. But if we pass a -I/some/path in which Boost + # is not installed, the compiler will just skip this -I and + # use other locations (either from CPPFLAGS, or from its list + # of system include directories). As a result we would use + # header installed on the machine instead of the /some/path + # specified by the user. So in that precise case (trying + # $boost_inc), make sure the version.hpp exists. + # + # Use test -e as there can be symlinks. + test -e "$boost_inc/boost/version.hpp" || continue + CPPFLAGS="$CPPFLAGS -I$boost_inc" + fi + AC_COMPILE_IFELSE([], [boost_cv_inc_path=yes], [boost_cv_version=no]) + if test x"$boost_cv_inc_path" = xyes; then + if test x"$boost_inc" != x; then + boost_cv_inc_path=$boost_inc + fi + break 2 + fi + done + done +AC_LANG_POP([C++])dnl + ]) + case $boost_cv_inc_path in #( + no) + boost_errmsg="cannot find Boost headers version >= $boost_version_req" + m4_if([$2], [], [AC_MSG_ERROR([$boost_errmsg])], + [AC_MSG_NOTICE([$boost_errmsg])]) + $2 + ;;#( + yes) + BOOST_CPPFLAGS= + AC_DEFINE([HAVE_BOOST], [1], + [Defined if the requested minimum BOOST version is satisfied]) + ;;#( + *) + AC_SUBST([BOOST_CPPFLAGS], ["-I$boost_cv_inc_path"]) + ;; + esac + AC_CACHE_CHECK([for Boost's header version], + [boost_cv_lib_version], + [m4_pattern_allow([^BOOST_LIB_VERSION$])dnl + _BOOST_SED_CPP([/^boost-lib-version = /{s///;s/\"//g;p;g;}], + [#include +boost-lib-version = BOOST_LIB_VERSION], + [boost_cv_lib_version=`cat conftest.i`])]) + # e.g. "134" for 1_34_1 or "135" for 1_35 + boost_major_version=`echo "$boost_cv_lib_version" | sed 's/_//;s/_.*//'` + case $boost_major_version in #( + '' | *[[!0-9]]*) + AC_MSG_ERROR([invalid value: boost_major_version=$boost_major_version]) + ;; + esac +CPPFLAGS=$boost_save_CPPFLAGS +])# BOOST_REQUIRE + +# BOOST_STATIC() +# -------------- +# Add the "--enable-static-boost" configure argument. If this argument is given +# on the command line, static versions of the libraries will be looked up. +AC_DEFUN([BOOST_STATIC], + [AC_ARG_ENABLE([static-boost], + [AC_HELP_STRING([--enable-static-boost], + [Prefer the static boost libraries over the shared ones [no]])], + [enable_static_boost=yes], + [enable_static_boost=no])])# BOOST_STATIC + +# BOOST_FIND_HEADER([HEADER-NAME], [ACTION-IF-NOT-FOUND], [ACTION-IF-FOUND]) +# -------------------------------------------------------------------------- +# Wrapper around AC_CHECK_HEADER for Boost headers. Useful to check for +# some parts of the Boost library which are only made of headers and don't +# require linking (such as Boost.Foreach). +# +# Default ACTION-IF-NOT-FOUND: Fail with a fatal error unless Boost couldn't be +# found in the first place, in which case by default a notice is issued to the +# user. Presumably if we haven't died already it's because it's OK to not have +# Boost, which is why only a notice is issued instead of a hard error. +# +# Default ACTION-IF-FOUND: define the preprocessor symbol HAVE_ in +# case of success # (where HEADER-NAME is written LIKE_THIS, e.g., +# HAVE_BOOST_FOREACH_HPP). +AC_DEFUN([BOOST_FIND_HEADER], +[AC_REQUIRE([BOOST_REQUIRE])dnl +if test x"$boost_cv_inc_path" = xno; then + m4_default([$2], [AC_MSG_NOTICE([Boost not available, not searching for $1])]) +else +AC_LANG_PUSH([C++])dnl +boost_save_CPPFLAGS=$CPPFLAGS +CPPFLAGS="$CPPFLAGS $BOOST_CPPFLAGS" +AC_CHECK_HEADER([$1], + [m4_default([$3], [AC_DEFINE(AS_TR_CPP([HAVE_$1]), [1], + [Define to 1 if you have <$1>])])], + [m4_default([$2], [AC_MSG_ERROR([cannot find $1])])]) +CPPFLAGS=$boost_save_CPPFLAGS +AC_LANG_POP([C++])dnl +fi +])# BOOST_FIND_HEADER + + +# BOOST_FIND_LIB([LIB-NAME], [PREFERRED-RT-OPT], [HEADER-NAME], [CXX-TEST], +# [CXX-PROLOGUE]) +# ------------------------------------------------------------------------- +# Look for the Boost library LIB-NAME (e.g., LIB-NAME = `thread', for +# libboost_thread). Check that HEADER-NAME works and check that +# libboost_LIB-NAME can link with the code CXX-TEST. The optional argument +# CXX-PROLOGUE can be used to include some C++ code before the `main' +# function. +# +# Invokes BOOST_FIND_HEADER([HEADER-NAME]) (see above). +# +# Boost libraries typically come compiled with several flavors (with different +# runtime options) so PREFERRED-RT-OPT is the preferred suffix. A suffix is one +# or more of the following letters: sgdpn (in that order). s = static +# runtime, d = debug build, g = debug/diagnostic runtime, p = STLPort build, +# n = (unsure) STLPort build without iostreams from STLPort (it looks like `n' +# must always be used along with `p'). Additionally, PREFERRED-RT-OPT can +# start with `mt-' to indicate that there is a preference for multi-thread +# builds. Some sample values for PREFERRED-RT-OPT: (nothing), mt, d, mt-d, gdp +# ... If you want to make sure you have a specific version of Boost +# (eg, >= 1.33) you *must* invoke BOOST_REQUIRE before this macro. +AC_DEFUN([BOOST_FIND_LIB], +[AC_REQUIRE([BOOST_REQUIRE])dnl +AC_REQUIRE([_BOOST_FIND_COMPILER_TAG])dnl +AC_REQUIRE([BOOST_STATIC])dnl +AC_REQUIRE([_BOOST_GUESS_WHETHER_TO_USE_MT])dnl +if test x"$boost_cv_inc_path" = xno; then + AC_MSG_NOTICE([Boost not available, not searching for the Boost $1 library]) +else +dnl The else branch is huge and wasn't intended on purpose. +AC_LANG_PUSH([C++])dnl +AS_VAR_PUSHDEF([Boost_lib], [boost_cv_lib_$1])dnl +AS_VAR_PUSHDEF([Boost_lib_LDFLAGS], [boost_cv_lib_$1_LDFLAGS])dnl +AS_VAR_PUSHDEF([Boost_lib_LIBS], [boost_cv_lib_$1_LIBS])dnl +BOOST_FIND_HEADER([$3]) +boost_save_CPPFLAGS=$CPPFLAGS +CPPFLAGS="$CPPFLAGS $BOOST_CPPFLAGS" +# Now let's try to find the library. The algorithm is as follows: first look +# for a given library name according to the user's PREFERRED-RT-OPT. For each +# library name, we prefer to use the ones that carry the tag (toolset name). +# Each library is searched through the various standard paths were Boost is +# usually installed. If we can't find the standard variants, we try to +# enforce -mt (for instance on MacOSX, libboost_threads.dylib doesn't exist +# but there's -obviously- libboost_threads-mt.dylib). +AC_CACHE_CHECK([for the Boost $1 library], [Boost_lib], + [Boost_lib=no + case "$2" in #( + mt | mt-) boost_mt=-mt; boost_rtopt=;; #( + mt* | mt-*) boost_mt=-mt; boost_rtopt=`expr "X$2" : 'Xmt-*\(.*\)'`;; #( + *) boost_mt=; boost_rtopt=$2;; + esac + if test $enable_static_boost = yes; then + boost_rtopt="s$boost_rtopt" + fi + # Find the proper debug variant depending on what we've been asked to find. + case $boost_rtopt in #( + *d*) boost_rt_d=$boost_rtopt;; #( + *[[sgpn]]*) # Insert the `d' at the right place (in between `sg' and `pn') + boost_rt_d=`echo "$boost_rtopt" | sed 's/\(s*g*\)\(p*n*\)/\1\2/'`;; #( + *) boost_rt_d='-d';; + esac + # If the PREFERRED-RT-OPT are not empty, prepend a `-'. + test -n "$boost_rtopt" && boost_rtopt="-$boost_rtopt" + $boost_guess_use_mt && boost_mt=-mt + # Look for the abs path the static archive. + # $libext is computed by Libtool but let's make sure it's non empty. + test -z "$libext" && + AC_MSG_ERROR([the libext variable is empty, did you invoke Libtool?]) + boost_save_ac_objext=$ac_objext + # Generate the test file. + AC_LANG_CONFTEST([AC_LANG_PROGRAM([#include <$3> +$5], [$4])]) +dnl Optimization hacks: compiling C++ is slow, especially with Boost. What +dnl we're trying to do here is guess the right combination of link flags +dnl (LIBS / LDFLAGS) to use a given library. This can take several +dnl iterations before it succeeds and is thus *very* slow. So what we do +dnl instead is that we compile the code first (and thus get an object file, +dnl typically conftest.o). Then we try various combinations of link flags +dnl until we succeed to link conftest.o in an executable. The problem is +dnl that the various TRY_LINK / COMPILE_IFELSE macros of Autoconf always +dnl remove all the temporary files including conftest.o. So the trick here +dnl is to temporarily change the value of ac_objext so that conftest.o is +dnl preserved accross tests. This is obviously fragile and I will burn in +dnl hell for not respecting Autoconf's documented interfaces, but in the +dnl mean time, it optimizes the macro by a factor of 5 to 30. +dnl Another small optimization: the first argument of AC_COMPILE_IFELSE left +dnl empty because the test file is generated only once above (before we +dnl start the for loops). + AC_COMPILE_IFELSE([], + [ac_objext=do_not_rm_me_plz], + [AC_MSG_ERROR([cannot compile a test that uses Boost $1])]) + ac_objext=$boost_save_ac_objext + boost_failed_libs= +# Don't bother to ident the 6 nested for loops, only the 2 innermost ones +# matter. +for boost_tag_ in -$boost_cv_lib_tag ''; do +for boost_ver_ in -$boost_cv_lib_version ''; do +for boost_mt_ in $boost_mt -mt ''; do +for boost_rtopt_ in $boost_rtopt '' -d; do + for boost_lib in \ + boost_$1$boost_tag_$boost_mt_$boost_rtopt_$boost_ver_ \ + boost_$1$boost_tag_$boost_rtopt_$boost_ver_ \ + boost_$1$boost_tag_$boost_mt_$boost_ver_ \ + boost_$1$boost_tag_$boost_ver_ + do + # Avoid testing twice the same lib + case $boost_failed_libs in #( + *@$boost_lib@*) continue;; + esac + # If with_boost is empty, we'll search in /lib first, which is not quite + # right so instead we'll try to a location based on where the headers are. + boost_tmp_lib=$with_boost + test x"$with_boost" = x && boost_tmp_lib=${boost_cv_inc_path%/include} + for boost_ldpath in "$boost_tmp_lib/lib" '' \ + /opt/local/lib /usr/local/lib /opt/lib /usr/lib \ + "$with_boost" C:/Boost/lib /lib /usr/lib64 /lib64 + do + test -e "$boost_ldpath" || continue + boost_save_LDFLAGS=$LDFLAGS + # Are we looking for a static library? + case $boost_ldpath:$boost_rtopt_ in #( + *?*:*s*) # Yes (Non empty boost_ldpath + s in rt opt) + Boost_lib_LIBS="$boost_ldpath/lib$boost_lib.$libext" + test -e "$Boost_lib_LIBS" || continue;; #( + *) # No: use -lboost_foo to find the shared library. + Boost_lib_LIBS="-l$boost_lib";; + esac + boost_save_LIBS=$LIBS + LIBS="$Boost_lib_LIBS $LIBS" + test x"$boost_ldpath" != x && LDFLAGS="$LDFLAGS -L$boost_ldpath" +dnl First argument of AC_LINK_IFELSE left empty because the test file is +dnl generated only once above (before we start the for loops). + _BOOST_AC_LINK_IFELSE([], + [Boost_lib=yes], [Boost_lib=no]) + ac_objext=$boost_save_ac_objext + LDFLAGS=$boost_save_LDFLAGS + LIBS=$boost_save_LIBS + if test x"$Boost_lib" = xyes; then + Boost_lib_LDFLAGS="-L$boost_ldpath -R$boost_ldpath" + break 6 + else + boost_failed_libs="$boost_failed_libs@$boost_lib@" + fi + done + done +done +done +done +done +rm -f conftest.$ac_objext +]) +case $Boost_lib in #( + no) _AC_MSG_LOG_CONFTEST + AC_MSG_ERROR([cannot not find the flags to link with Boost $1]) + ;; +esac +AC_SUBST(AS_TR_CPP([BOOST_$1_LDFLAGS]), [$Boost_lib_LDFLAGS]) +AC_SUBST(AS_TR_CPP([BOOST_$1_LIBS]), [$Boost_lib_LIBS]) +CPPFLAGS=$boost_save_CPPFLAGS +AS_VAR_POPDEF([Boost_lib])dnl +AS_VAR_POPDEF([Boost_lib_LDFLAGS])dnl +AS_VAR_POPDEF([Boost_lib_LIBS])dnl +AC_LANG_POP([C++])dnl +fi +])# BOOST_FIND_LIB + + +# --------------------------------------- # +# Checks for the various Boost libraries. # +# --------------------------------------- # + +# List of boost libraries: http://www.boost.org/libs/libraries.htm +# The page http://beta.boost.org/doc/libs is useful: it gives the first release +# version of each library (among other things). + +# BOOST_ARRAY() +# ------------- +# Look for Boost.Array +AC_DEFUN([BOOST_ARRAY], +[BOOST_FIND_HEADER([boost/array.hpp])]) + + +# BOOST_ASIO() +# ------------ +# Look for Boost.Asio (new in Boost 1.35). +AC_DEFUN([BOOST_ASIO], +[AC_REQUIRE([BOOST_SYSTEM])dnl +BOOST_FIND_HEADER([boost/asio.hpp])]) + + +# BOOST_BIND() +# ------------ +# Look for Boost.Bind +AC_DEFUN([BOOST_BIND], +[BOOST_FIND_HEADER([boost/bind.hpp])]) + + +# BOOST_CONVERSION() +# ------------------ +# Look for Boost.Conversion (cast / lexical_cast) +AC_DEFUN([BOOST_CONVERSION], +[BOOST_FIND_HEADER([boost/cast.hpp]) +BOOST_FIND_HEADER([boost/lexical_cast.hpp]) +])# BOOST_CONVERSION + + +# BOOST_DATE_TIME([PREFERRED-RT-OPT]) +# ----------------------------------- +# Look for Boost.Date_Time. For the documentation of PREFERRED-RT-OPT, see the +# documentation of BOOST_FIND_LIB above. +AC_DEFUN([BOOST_DATE_TIME], +[BOOST_FIND_LIB([date_time], [$1], + [boost/date_time/posix_time/posix_time.hpp], + [boost::posix_time::ptime t;]) +])# BOOST_DATE_TIME + + +# BOOST_FILESYSTEM([PREFERRED-RT-OPT]) +# ------------------------------------ +# Look for Boost.Filesystem. For the documentation of PREFERRED-RT-OPT, see +# the documentation of BOOST_FIND_LIB above. +# Do not check for boost/filesystem.hpp because this file was introduced in +# 1.34. +AC_DEFUN([BOOST_FILESYSTEM], +[# Do we have to check for Boost.System? This link-time dependency was +# added as of 1.35.0. If we have a version <1.35, we must not attempt to +# find Boost.System as it didn't exist by then. +if test $boost_major_version -ge 135; then +BOOST_SYSTEM([$1]) +fi # end of the Boost.System check. +boost_filesystem_save_LIBS=$LIBS +boost_filesystem_save_LDFLAGS=$LDFLAGS +m4_pattern_allow([^BOOST_SYSTEM_(LIBS|LDFLAGS)$])dnl +LIBS="$LIBS $BOOST_SYSTEM_LIBS" +LDFLAGS="$LDFLAGS $BOOST_SYSTEM_LDFLAGS" +BOOST_FIND_LIB([filesystem], [$1], + [boost/filesystem/path.hpp], [boost::filesystem::path p;]) +LIBS=$boost_filesystem_save_LIBS +LDFLAGS=$boost_filesystem_save_LDFLAGS +])# BOOST_FILESYSTEM + + +# BOOST_FOREACH() +# --------------- +# Look for Boost.Foreach +AC_DEFUN([BOOST_FOREACH], +[BOOST_FIND_HEADER([boost/foreach.hpp])]) + + +# BOOST_FORMAT() +# -------------- +# Look for Boost.Format +# Note: we can't check for boost/format/format_fwd.hpp because the header isn't +# standalone. It can't be compiled because it triggers the following error: +# boost/format/detail/config_macros.hpp:88: error: 'locale' in namespace 'std' +# does not name a type +AC_DEFUN([BOOST_FORMAT], +[BOOST_FIND_HEADER([boost/format.hpp])]) + + +# BOOST_FUNCTION() +# ---------------- +# Look for Boost.Function +AC_DEFUN([BOOST_FUNCTION], +[BOOST_FIND_HEADER([boost/function.hpp])]) + + +# BOOST_GRAPH([PREFERRED-RT-OPT]) +# ------------------------------- +# Look for Boost.Graphs. For the documentation of PREFERRED-RT-OPT, see the +# documentation of BOOST_FIND_LIB above. +AC_DEFUN([BOOST_GRAPH], +[BOOST_FIND_LIB([graph], [$1], + [boost/graph/adjacency_list.hpp], [boost::adjacency_list<> g;]) +])# BOOST_GRAPH + + +# BOOST_IOSTREAMS([PREFERRED-RT-OPT]) +# ------------------------------- +# Look for Boost.IOStreams. For the documentation of PREFERRED-RT-OPT, see the +# documentation of BOOST_FIND_LIB above. +AC_DEFUN([BOOST_IOSTREAMS], +[BOOST_FIND_LIB([iostreams], [$1], + [boost/iostreams/device/file_descriptor.hpp], + [boost::iostreams::file_descriptor fd(0); fd.close();]) +])# BOOST_IOSTREAMS + + +# BOOST_HASH() +# ------------ +# Look for Boost.Functional/Hash +AC_DEFUN([BOOST_HASH], +[BOOST_FIND_HEADER([boost/functional/hash.hpp])]) + + +# BOOST_LAMBDA() +# -------------- +# Look for Boost.Lambda +AC_DEFUN([BOOST_LAMBDA], +[BOOST_FIND_HEADER([boost/lambda/lambda.hpp])]) + + +# BOOST_MATH() +# ------------ +# Look for Boost.Math +# TODO: This library isn't header-only but it comes in multiple different +# flavors that don't play well with BOOST_FIND_LIB (e.g, libboost_math_c99, +# libboost_math_c99f, libboost_math_c99l, libboost_math_tr1, +# libboost_math_tr1f, libboost_math_tr1l). This macro must be fixed to do the +# right thing anyway. +AC_DEFUN([BOOST_MATH], +[BOOST_FIND_HEADER([boost/math/special_functions.hpp])]) + + +# BOOST_MULTIARRAY() +# ------------------ +# Look for Boost.MultiArray +AC_DEFUN([BOOST_MULTIARRAY], +[BOOST_FIND_HEADER([boost/multi_array.hpp])]) + + +# BOOST_NUMERIC_CONVERSION() +# -------------------------- +# Look for Boost.NumericConversion (policy-based numeric conversion) +AC_DEFUN([BOOST_NUMERIC_CONVERSION], +[BOOST_FIND_HEADER([boost/numeric/conversion/converter.hpp]) +])# BOOST_NUMERIC_CONVERSION + + +# BOOST_OPTIONAL() +# ---------------- +# Look for Boost.Optional +AC_DEFUN([BOOST_OPTIONAL], +[BOOST_FIND_HEADER([boost/optional.hpp])]) + + +# BOOST_PREPROCESSOR() +# -------------------- +# Look for Boost.Preprocessor +AC_DEFUN([BOOST_PREPROCESSOR], +[BOOST_FIND_HEADER([boost/preprocessor/repeat.hpp])]) + + +# BOOST_PROGRAM_OPTIONS([PREFERRED-RT-OPT]) +# ----------------------------------------- +# Look for Boost.Program_options. For the documentation of PREFERRED-RT-OPT, see +# the documentation of BOOST_FIND_LIB above. +AC_DEFUN([BOOST_PROGRAM_OPTIONS], +[BOOST_FIND_LIB([program_options], [$1], + [boost/program_options.hpp], + [boost::program_options::options_description d("test");]) +])# BOOST_PROGRAM_OPTIONS + + +# BOOST_REF() +# ----------- +# Look for Boost.Ref +AC_DEFUN([BOOST_REF], +[BOOST_FIND_HEADER([boost/ref.hpp])]) + + +# BOOST_REGEX([PREFERRED-RT-OPT]) +# ------------------------------- +# Look for Boost.Regex. For the documentation of PREFERRED-RT-OPT, see the +# documentation of BOOST_FIND_LIB above. +AC_DEFUN([BOOST_REGEX], +[BOOST_FIND_LIB([regex], [$1], + [boost/regex.hpp], + [boost::regex exp("*"); boost::regex_match("foo", exp);]) +])# BOOST_REGEX + + +# BOOST_SERIALIZATION([PREFERRED-RT-OPT]) +# --------------------------------------- +# Look for Boost.Serialization. For the documentation of PREFERRED-RT-OPT, see +# the documentation of BOOST_FIND_LIB above. +AC_DEFUN([BOOST_SERIALIZATION], +[BOOST_FIND_LIB([serialization], [$1], + [boost/archive/text_oarchive.hpp], + [std::ostream* o = 0; // Cheap way to get an ostream... + boost::archive::text_oarchive t(*o);]) +])# BOOST_SIGNALS + + +# BOOST_SIGNALS([PREFERRED-RT-OPT]) +# --------------------------------- +# Look for Boost.Signals. For the documentation of PREFERRED-RT-OPT, see the +# documentation of BOOST_FIND_LIB above. +AC_DEFUN([BOOST_SIGNALS], +[BOOST_FIND_LIB([signals], [$1], + [boost/signal.hpp], + [boost::signal s;]) +])# BOOST_SIGNALS + + +# BOOST_SMART_PTR() +# ----------------- +# Look for Boost.SmartPtr +AC_DEFUN([BOOST_SMART_PTR], +[BOOST_FIND_HEADER([boost/scoped_ptr.hpp]) +BOOST_FIND_HEADER([boost/shared_ptr.hpp]) +]) + + +# BOOST_STATICASSERT() +# -------------------- +# Look for Boost.StaticAssert +AC_DEFUN([BOOST_STATICASSERT], +[BOOST_FIND_HEADER([boost/static_assert.hpp])]) + + +# BOOST_STRING_ALGO() +# ------------------- +# Look for Boost.StringAlgo +AC_DEFUN([BOOST_STRING_ALGO], +[BOOST_FIND_HEADER([boost/algorithm/string.hpp]) +]) + + +# BOOST_SYSTEM([PREFERRED-RT-OPT]) +# -------------------------------- +# Look for Boost.System. For the documentation of PREFERRED-RT-OPT, see the +# documentation of BOOST_FIND_LIB above. This library was introduced in Boost +# 1.35.0. +AC_DEFUN([BOOST_SYSTEM], +[BOOST_FIND_LIB([system], [$1], + [boost/system/error_code.hpp], + [boost::system::error_code e; e.clear();]) +])# BOOST_SYSTEM + + +# BOOST_TEST([PREFERRED-RT-OPT]) +# ------------------------------ +# Look for Boost.Test. For the documentation of PREFERRED-RT-OPT, see the +# documentation of BOOST_FIND_LIB above. +AC_DEFUN([BOOST_TEST], +[m4_pattern_allow([^BOOST_CHECK$])dnl +BOOST_FIND_LIB([unit_test_framework], [$1], + [boost/test/unit_test.hpp], [BOOST_CHECK(2 == 2);], + [using boost::unit_test::test_suite; + test_suite* init_unit_test_suite(int argc, char ** argv) + { return NULL; }]) +])# BOOST_TEST + + +# BOOST_THREADS([PREFERRED-RT-OPT]) +# --------------------------------- +# Look for Boost.Thread. For the documentation of PREFERRED-RT-OPT, see the +# documentation of BOOST_FIND_LIB above. +# FIXME: Provide an alias "BOOST_THREAD". +AC_DEFUN([BOOST_THREADS], +[dnl Having the pthread flag is required at least on GCC3 where +dnl boost/thread.hpp would complain if we try to compile without +dnl -pthread on GNU/Linux. +AC_REQUIRE([_BOOST_PTHREAD_FLAG])dnl +boost_threads_save_LIBS=$LIBS +boost_threads_save_CPPFLAGS=$CPPFLAGS +LIBS="$LIBS $boost_cv_pthread_flag" +# Yes, we *need* to put the -pthread thing in CPPFLAGS because with GCC3, +# boost/thread.hpp will trigger a #error if -pthread isn't used: +# boost/config/requires_threads.hpp:47:5: #error "Compiler threading support +# is not turned on. Please set the correct command line options for +# threading: -pthread (Linux), -pthreads (Solaris) or -mthreads (Mingw32)" +CPPFLAGS="$CPPFLAGS $boost_cv_pthread_flag" +BOOST_FIND_LIB([thread], [$1], + [boost/thread.hpp], [boost::thread t; boost::mutex m;]) +BOOST_THREAD_LIBS="$BOOST_THREAD_LIBS $boost_cv_pthread_flag" +BOOST_CPPFLAGS="$BOOST_CPPFLAGS $boost_cv_pthread_flag" +LIBS=$boost_threads_save_LIBS +CPPFLAGS=$boost_threads_save_CPPFLAGS +])# BOOST_THREADS + + +# BOOST_TOKENIZER() +# ----------------- +# Look for Boost.Tokenizer +AC_DEFUN([BOOST_TOKENIZER], +[BOOST_FIND_HEADER([boost/tokenizer.hpp])]) + + +# BOOST_TRIBOOL() +# --------------- +# Look for Boost.Tribool +AC_DEFUN([BOOST_TRIBOOL], +[BOOST_FIND_HEADER([boost/logic/tribool_fwd.hpp]) +BOOST_FIND_HEADER([boost/logic/tribool.hpp]) +]) + + +# BOOST_TUPLE() +# ------------- +# Look for Boost.Tuple +AC_DEFUN([BOOST_TUPLE], +[BOOST_FIND_HEADER([boost/tuple/tuple.hpp])]) + + +# BOOST_TYPETRAITS() +# -------------------- +# Look for Boost.TypeTraits +AC_DEFUN([BOOST_TYPETRAITS], +[BOOST_FIND_HEADER([boost/type_traits.hpp])]) + + +# BOOST_UTILITY() +# --------------- +# Look for Boost.Utility (noncopyable, result_of, base-from-member idiom, +# etc.) +AC_DEFUN([BOOST_UTILITY], +[BOOST_FIND_HEADER([boost/utility.hpp])]) + + +# BOOST_VARIANT() +# --------------- +# Look for Boost.Variant. +AC_DEFUN([BOOST_VARIANT], +[BOOST_FIND_HEADER([boost/variant/variant_fwd.hpp]) +BOOST_FIND_HEADER([boost/variant.hpp])]) + + +# BOOST_WAVE([PREFERRED-RT-OPT]) +# ------------------------------ +# NOTE: If you intend to use Wave/Spirit with thread support, make sure you +# call BOOST_THREADS first. +# Look for Boost.Wave. For the documentation of PREFERRED-RT-OPT, see the +# documentation of BOOST_FIND_LIB above. +AC_DEFUN([BOOST_WAVE], +[AC_REQUIRE([BOOST_FILESYSTEM])dnl +AC_REQUIRE([BOOST_DATE_TIME])dnl +boost_wave_save_LIBS=$LIBS +boost_wave_save_LDFLAGS=$LDFLAGS +m4_pattern_allow([^BOOST_((FILE)?SYSTEM|DATE_TIME|THREAD)_(LIBS|LDFLAGS)$])dnl +LIBS="$LIBS $BOOST_SYSTEM_LIBS $BOOST_FILESYSTEM_LIBS $BOOST_DATE_TIME_LIBS\ +$BOOST_THREAD_LIBS" +LDFLAGS="$LDFLAGS $BOOST_SYSTEM_LDFLAGS $BOOST_FILESYSTEM_LDFLAGS\ +$BOOST_DATE_TIME_LDFLAGS $BOOST_THREAD_LDFLAGS" +BOOST_FIND_LIB([wave], [$1], + [boost/wave.hpp], + [boost::wave::token_id id; get_token_name(id);]) +LIBS=$boost_wave_save_LIBS +LDFLAGS=$boost_wave_save_LDFLAGS +])# BOOST_WAVE + + +# BOOST_XPRESSIVE() +# ----------------- +# Look for Boost.Xpressive (new since 1.36.0). +AC_DEFUN([BOOST_XPRESSIVE], +[BOOST_FIND_HEADER([boost/xpressive/xpressive.hpp])]) + + +# ----------------- # +# Internal helpers. # +# ----------------- # + + +# _BOOST_PTHREAD_FLAG() +# --------------------- +# Internal helper for BOOST_THREADS. Based on ACX_PTHREAD: +# http://autoconf-archive.cryp.to/acx_pthread.html +AC_DEFUN([_BOOST_PTHREAD_FLAG], +[AC_REQUIRE([AC_PROG_CXX])dnl +AC_REQUIRE([AC_CANONICAL_HOST])dnl +AC_LANG_PUSH([C++])dnl +AC_CACHE_CHECK([for the flags needed to use pthreads], [boost_cv_pthread_flag], +[ boost_cv_pthread_flag= + # The ordering *is* (sometimes) important. Some notes on the + # individual items follow: + # (none): in case threads are in libc; should be tried before -Kthread and + # other compiler flags to prevent continual compiler warnings + # -lpthreads: AIX (must check this before -lpthread) + # -Kthread: Sequent (threads in libc, but -Kthread needed for pthread.h) + # -kthread: FreeBSD kernel threads (preferred to -pthread since SMP-able) + # -llthread: LinuxThreads port on FreeBSD (also preferred to -pthread) + # -pthread: GNU Linux/GCC (kernel threads), BSD/GCC (userland threads) + # -pthreads: Solaris/GCC + # -mthreads: MinGW32/GCC, Lynx/GCC + # -mt: Sun Workshop C (may only link SunOS threads [-lthread], but it + # doesn't hurt to check since this sometimes defines pthreads too; + # also defines -D_REENTRANT) + # ... -mt is also the pthreads flag for HP/aCC + # -lpthread: GNU Linux, etc. + # --thread-safe: KAI C++ + case $host_os in #( + *solaris*) + # On Solaris (at least, for some versions), libc contains stubbed + # (non-functional) versions of the pthreads routines, so link-based + # tests will erroneously succeed. (We need to link with -pthreads/-mt/ + # -lpthread.) (The stubs are missing pthread_cleanup_push, or rather + # a function called by this macro, so we could check for that, but + # who knows whether they'll stub that too in a future libc.) So, + # we'll just look for -pthreads and -lpthread first: + boost_pthread_flags="-pthreads -lpthread -mt -pthread";; #( + *) + boost_pthread_flags="-lpthreads -Kthread -kthread -llthread -pthread \ + -pthreads -mthreads -lpthread --thread-safe -mt";; + esac + # Generate the test file. + AC_LANG_CONFTEST([AC_LANG_PROGRAM([#include ], + [pthread_t th; pthread_join(th, 0); + pthread_attr_init(0); pthread_cleanup_push(0, 0); + pthread_create(0,0,0,0); pthread_cleanup_pop(0);])]) + for boost_pthread_flag in '' $boost_pthread_flags; do + boost_pthread_ok=false +dnl Re-use the test file already generated. + boost_pthreads__save_LIBS=$LIBS + LIBS="$LIBS $boost_pthread_flag" + AC_LINK_IFELSE([], + [if grep ".*$boost_pthread_flag" conftest.err; then + echo "This flag seems to have triggered warnings" >&AS_MESSAGE_LOG_FD + else + boost_pthread_ok=:; boost_cv_pthread_flag=$boost_pthread_flag + fi]) + LIBS=$boost_pthreads__save_LIBS + $boost_pthread_ok && break + done +]) +AC_LANG_POP([C++])dnl +])# _BOOST_PTHREAD_FLAG + + +# _BOOST_gcc_test(MAJOR, MINOR) +# ----------------------------- +# Internal helper for _BOOST_FIND_COMPILER_TAG. +m4_define([_BOOST_gcc_test], +["defined __GNUC__ && __GNUC__ == $1 && __GNUC_MINOR__ == $2 && !defined __ICC @ gcc$1$2"])dnl + + +# _BOOST_FIND_COMPILER_TAG() +# -------------------------- +# Internal. When Boost is installed without --layout=system, each library +# filename will hold a suffix that encodes the compiler used during the +# build. The Boost build system seems to call this a `tag'. +AC_DEFUN([_BOOST_FIND_COMPILER_TAG], +[AC_REQUIRE([AC_PROG_CXX])dnl +AC_REQUIRE([AC_CANONICAL_HOST])dnl +AC_CACHE_CHECK([for the toolset name used by Boost for $CXX], [boost_cv_lib_tag], +[AC_LANG_PUSH([C++])dnl + boost_cv_lib_tag=unknown + # The following tests are mostly inspired by boost/config/auto_link.hpp + # The list is sorted to most recent/common to oldest compiler (in order + # to increase the likelihood of finding the right compiler with the + # least number of compilation attempt). + # Beware that some tests are sensible to the order (for instance, we must + # look for MinGW before looking for GCC3). + # I used one compilation test per compiler with a #error to recognize + # each compiler so that it works even when cross-compiling (let me know + # if you know a better approach). + # Known missing tags (known from Boost's tools/build/v2/tools/common.jam): + # como, edg, kcc, bck, mp, sw, tru, xlc + # I'm not sure about my test for `il' (be careful: Intel's ICC pre-defines + # the same defines as GCC's). + # TODO: Move the test on GCC 4.4 up once it's released. + for i in \ + _BOOST_gcc_test(4, 3) \ + _BOOST_gcc_test(4, 2) \ + _BOOST_gcc_test(4, 1) \ + _BOOST_gcc_test(4, 0) \ + "defined __GNUC__ && __GNUC__ == 3 && !defined __ICC \ + && (defined WIN32 || defined WINNT || defined _WIN32 || defined __WIN32 \ + || defined __WIN32__ || defined __WINNT || defined __WINNT__) @ mgw" \ + _BOOST_gcc_test(3, 4) \ + _BOOST_gcc_test(3, 3) \ + "defined _MSC_VER && _MSC_VER >= 1500 @ vc90" \ + "defined _MSC_VER && _MSC_VER == 1400 @ vc80" \ + _BOOST_gcc_test(3, 2) \ + "defined _MSC_VER && _MSC_VER == 1310 @ vc71" \ + _BOOST_gcc_test(3, 1) \ + _BOOST_gcc_test(3, 0) \ + "defined __BORLANDC__ @ bcb" \ + "defined __ICC && (defined __unix || defined __unix__) @ il" \ + "defined __ICL @ iw" \ + "defined _MSC_VER && _MSC_VER == 1300 @ vc7" \ + _BOOST_gcc_test(4, 4) \ + _BOOST_gcc_test(2, 95) \ + "defined __MWERKS__ && __MWERKS__ <= 0x32FF @ cw9" \ + "defined _MSC_VER && _MSC_VER < 1300 && !defined UNDER_CE @ vc6" \ + "defined _MSC_VER && _MSC_VER < 1300 && defined UNDER_CE @ evc4" \ + "defined __MWERKS__ && __MWERKS__ <= 0x31FF @ cw8" + do + boost_tag_test=`expr "X$i" : 'X\([[^@]]*\) @ '` + boost_tag=`expr "X$i" : 'X[[^@]]* @ \(.*\)'` + AC_COMPILE_IFELSE([AC_LANG_PROGRAM([[ +#if $boost_tag_test +/* OK */ +#else +# error $boost_tag_test +#endif +]])], [boost_cv_lib_tag=$boost_tag; break], []) + done +AC_LANG_POP([C++])dnl + case $boost_cv_lib_tag in #( + # Some newer (>= 1.35?) versions of Boost seem to only use "gcc" as opposed + # to "gcc41" for instance. + *-gcc | *'-gcc ') :;; #( Don't re-add -gcc: it's already in there. + gcc*) + boost_tag_x= + case $host_os in #( + darwin*) + if test $boost_major_version -ge 136; then + # The `x' added in r46793 of Boost. + boost_tag_x=x + fi;; + esac + # We can specify multiple tags in this variable because it's used by + # BOOST_FIND_LIB that does a `for tag in -$boost_cv_lib_tag' ... + boost_cv_lib_tag="$boost_tag_x$boost_cv_lib_tag -${boost_tag_x}gcc" + ;; #( + unknown) + AC_MSG_WARN([[could not figure out which toolset name to use for $CXX]]) + boost_cv_lib_tag= + ;; + esac +])dnl end of AC_CACHE_CHECK +])# _BOOST_FIND_COMPILER_TAG + + +# _BOOST_GUESS_WHETHER_TO_USE_MT() +# -------------------------------- +# Compile a small test to try to guess whether we should favor MT (Multi +# Thread) flavors of Boost. Sets boost_guess_use_mt accordingly. +AC_DEFUN([_BOOST_GUESS_WHETHER_TO_USE_MT], +[# Check whether we do better use `mt' even though we weren't ask to. +AC_COMPILE_IFELSE([AC_LANG_PROGRAM([[ +#if defined _REENTRANT || defined _MT || defined __MT__ +/* use -mt */ +#else +# error MT not needed +#endif +]])], [boost_guess_use_mt=:], [boost_guess_use_mt=false]) +]) + +# _BOOST_AC_LINK_IFELSE(PROGRAM, [ACTION-IF-TRUE], [ACTION-IF-FALSE]) +# ------------------------------------------------------------------- +# Fork of _AC_LINK_IFELSE that preserves conftest.o across calls. Fragile, +# will break when Autoconf changes its internals. Requires that you manually +# rm -f conftest.$ac_objext in between to really different tests, otherwise +# you will try to link a conftest.o left behind by a previous test. +# Used to aggressively optimize BOOST_FIND_LIB (see the big comment in this +# macro). +# +# Don't use "break" in the actions, as it would short-circuit some code +# this macro runs after the actions. +m4_define([_BOOST_AC_LINK_IFELSE], +[m4_ifvaln([$1], [AC_LANG_CONFTEST([$1])])dnl +rm -f conftest$ac_exeext +boost_save_ac_ext=$ac_ext +boost_use_source=: +# If we already have a .o, re-use it. We change $ac_ext so that $ac_link +# tries to link the existing object file instead of compiling from source. +test -f conftest.$ac_objext && ac_ext=$ac_objext && boost_use_source=false && + _AS_ECHO_LOG([re-using the existing conftest.$ac_objext]) +AS_IF([_AC_DO_STDERR($ac_link) && { + test -z "$ac_[]_AC_LANG_ABBREV[]_werror_flag" || + test ! -s conftest.err + } && test -s conftest$ac_exeext && { + test "$cross_compiling" = yes || + $as_executable_p conftest$ac_exeext +dnl FIXME: use AS_TEST_X instead when 2.61 is widespread enough. + }], + [$2], + [if $boost_use_source; then + _AC_MSG_LOG_CONFTEST + fi + $3]) +ac_objext=$boost_save_ac_objext +ac_ext=$boost_save_ac_ext +dnl Delete also the IPA/IPO (Inter Procedural Analysis/Optimization) +dnl information created by the PGI compiler (conftest_ipa8_conftest.oo), +dnl as it would interfere with the next link command. +rm -f core conftest.err conftest_ipa8_conftest.oo \ + conftest$ac_exeext m4_ifval([$1], [conftest.$ac_ext])[]dnl +])# _BOOST_AC_LINK_IFELSE + +# Local Variables: +# mode: autoconf +# End: diff --git a/m4/gtest.m4 b/m4/gtest.m4 new file mode 100644 index 00000000..b015ddeb --- /dev/null +++ b/m4/gtest.m4 @@ -0,0 +1,61 @@ +dnl GTEST_LIB_CHECK([minimum version [, +dnl action if found [,action if not found]]]) +dnl +dnl Check for the presence of the Google Test library, optionally at a minimum +dnl version, and indicate a viable version with the HAVE_GTEST flag. It defines +dnl standard variables for substitution including GTEST_CPPFLAGS, +dnl GTEST_CXXFLAGS, GTEST_LDFLAGS, and GTEST_LIBS. It also defines +dnl GTEST_VERSION as the version of Google Test found. Finally, it provides +dnl optional custom action slots in the event GTEST is found or not. +AC_DEFUN([GTEST_LIB_CHECK], +[ +dnl Provide a flag to enable or disable Google Test usage. +AC_ARG_ENABLE([gtest], + [AS_HELP_STRING([--enable-gtest], + [Enable tests using the Google C++ Testing Framework.] + [(Default is enabled.)])], + [], + [enable_gtest=check]) +AC_ARG_VAR([GTEST_CONFIG], + [The exact path of Google Test's 'gtest-config' script.]) +AC_ARG_VAR([GTEST_CPPFLAGS], + [C-like preprocessor flags for Google Test.]) +AC_ARG_VAR([GTEST_CXXFLAGS], + [C++ compile flags for Google Test.]) +AC_ARG_VAR([GTEST_LDFLAGS], + [Linker path and option flags for Google Test.]) +AC_ARG_VAR([GTEST_LIBS], + [Library linking flags for Google Test.]) +AC_ARG_VAR([GTEST_VERSION], + [The version of Google Test available.]) +HAVE_GTEST="no" +AS_IF([test "x$enable_gtest" != "xno"], + [AC_PATH_PROG([GTEST_CONFIG], [gtest-config]) + AS_IF([test -x "$GTEST_CONFIG"], + [AS_IF([test "x$1" != "x"], + [_min_version="--min-version=$1" + AC_MSG_CHECKING([for Google Test at least version >= $1])], + [_min_version="--min-version=0" + AC_MSG_CHECKING([for Google Test])]) + AS_IF([$GTEST_CONFIG $_min_version], + [AC_MSG_RESULT([yes]) + HAVE_GTEST="yes"], + [AC_MSG_RESULT([no])])]) + AS_IF([test "x$HAVE_GTEST" = "xyes"], + [GTEST_CPPFLAGS=$($GTEST_CONFIG --cppflags) + GTEST_CXXFLAGS=$($GTEST_CONFIG --cxxflags) + GTEST_LDFLAGS=$($GTEST_CONFIG --ldflags) + GTEST_LIBS=$($GTEST_CONFIG --libs | sed 's/la/a/') + GTEST_VERSION=$($GTEST_CONFIG --version) + AC_DEFINE([HAVE_GTEST],[1],[Defined when Google Test is available.])], + [AS_IF([test "x$enable_gtest" = "xyes"], + [AC_MSG_ERROR([ + The Google C++ Testing Framework was explicitly enabled, but a viable version + could not be found on the system. +])])])]) +AC_SUBST([HAVE_GTEST]) +AM_CONDITIONAL([HAVE_GTEST],[test "x$HAVE_GTEST" = "xyes"]) +AS_IF([test "x$HAVE_GTEST" = "xyes"], + [AS_IF([test "x$2" != "x"],[$2],[:])], + [AS_IF([test "x$3" != "x"],[$3],[:])]) +]) diff --git a/tests/IPC/Run3.pm b/tests/IPC/Run3.pm new file mode 100644 index 00000000..00875511 --- /dev/null +++ b/tests/IPC/Run3.pm @@ -0,0 +1,850 @@ +package IPC::Run3; +BEGIN { require 5.006_000; } # i.e. 5.6.0 +use strict; + +=head1 NAME + +IPC::Run3 - run a subprocess with input/ouput redirection + +=head1 VERSION + +version 0.043 + +=cut + +our $VERSION = '0.043'; + +=head1 SYNOPSIS + + use IPC::Run3; # Exports run3() by default + + run3 \@cmd, \$in, \$out, \$err; + +=head1 DESCRIPTION + +This module allows you to run a subprocess and redirect stdin, stdout, +and/or stderr to files and perl data structures. It aims to satisfy 99% of the +need for using C, C, and C +with a simple, extremely Perlish API. + +Speed, simplicity, and portability are paramount. (That's speed of Perl code; +which is often much slower than the kind of buffered I/O that this module uses +to spool input to and output from the child command.) + +=cut + +use Exporter; +our @ISA = qw(Exporter); +our @EXPORT = qw( run3 ); +our %EXPORT_TAGS = ( all => \@EXPORT ); + +use constant debugging => $ENV{IPCRUN3DEBUG} || $ENV{IPCRUNDEBUG} || 0; +use constant profiling => $ENV{IPCRUN3PROFILE} || $ENV{IPCRUNPROFILE} || 0; +use constant is_win32 => 0 <= index $^O, "Win32"; + +BEGIN { + if ( is_win32 ) { + eval "use Win32 qw( GetOSName ); 1" or die $@; + } +} + +#use constant is_win2k => is_win32 && GetOSName() =~ /Win2000/i; +#use constant is_winXP => is_win32 && GetOSName() =~ /WinXP/i; + +use Carp qw( croak ); +use File::Temp qw( tempfile ); +use POSIX qw( dup dup2 ); + +# We cache the handles of our temp files in order to +# keep from having to incur the (largish) overhead of File::Temp +my %fh_cache; +my $fh_cache_pid = $$; + +my $profiler; + +sub _profiler { $profiler } # test suite access + +BEGIN { + if ( profiling ) { + eval "use Time::HiRes qw( gettimeofday ); 1" or die $@; + if ( $ENV{IPCRUN3PROFILE} =~ /\A\d+\z/ ) { + require IPC::Run3::ProfPP; + IPC::Run3::ProfPP->import; + $profiler = IPC::Run3::ProfPP->new(Level => $ENV{IPCRUN3PROFILE}); + } else { + my ( $dest, undef, $class ) = + reverse split /(=)/, $ENV{IPCRUN3PROFILE}, 2; + $class = "IPC::Run3::ProfLogger" + unless defined $class && length $class; + if ( not eval "require $class" ) { + my $e = $@; + $class = "IPC::Run3::$class"; + eval "require IPC::Run3::$class" or die $e; + } + $profiler = $class->new( Destination => $dest ); + } + $profiler->app_call( [ $0, @ARGV ], scalar gettimeofday() ); + } +} + + +END { + $profiler->app_exit( scalar gettimeofday() ) if profiling; +} + +sub _binmode { + my ( $fh, $mode, $what ) = @_; + # if $mode is not given, then default to ":raw", except on Windows, + # where we default to ":crlf"; + # otherwise if a proper layer string was given, use that, + # else use ":raw" + my $layer = !$mode + ? (is_win32 ? ":crlf" : ":raw") + : ($mode =~ /^:/ ? $mode : ":raw"); + warn "binmode $what, $layer\n" if debugging >= 2; + + binmode $fh, ":raw" unless $layer eq ":raw"; # remove all layers first + binmode $fh, $layer or croak "binmode $layer failed: $!"; +} + +sub _spool_data_to_child { + my ( $type, $source, $binmode_it ) = @_; + + # If undef (not \undef) passed, they want the child to inherit + # the parent's STDIN. + return undef unless defined $source; + + my $fh; + if ( ! $type ) { + open $fh, "<", $source or croak "$!: $source"; + _binmode($fh, $binmode_it, "STDIN"); + warn "run3(): feeding file '$source' to child STDIN\n" + if debugging >= 2; + } elsif ( $type eq "FH" ) { + $fh = $source; + warn "run3(): feeding filehandle '$source' to child STDIN\n" + if debugging >= 2; + } else { + $fh = $fh_cache{in} ||= tempfile; + truncate $fh, 0; + seek $fh, 0, 0; + _binmode($fh, $binmode_it, "STDIN"); + my $seekit; + if ( $type eq "SCALAR" ) { + + # When the run3()'s caller asks to feed an empty file + # to the child's stdin, we want to pass a live file + # descriptor to an empty file (like /dev/null) so that + # they don't get surprised by invalid fd errors and get + # normal EOF behaviors. + return $fh unless defined $$source; # \undef passed + + warn "run3(): feeding SCALAR to child STDIN", + debugging >= 3 + ? ( ": '", $$source, "' (", length $$source, " chars)" ) + : (), + "\n" + if debugging >= 2; + + $seekit = length $$source; + print $fh $$source or die "$! writing to temp file"; + + } elsif ( $type eq "ARRAY" ) { + warn "run3(): feeding ARRAY to child STDIN", + debugging >= 3 ? ( ": '", @$source, "'" ) : (), + "\n" + if debugging >= 2; + + print $fh @$source or die "$! writing to temp file"; + $seekit = grep length, @$source; + } elsif ( $type eq "CODE" ) { + warn "run3(): feeding output of CODE ref '$source' to child STDIN\n" + if debugging >= 2; + my $parms = []; # TODO: get these from $options + while (1) { + my $data = $source->( @$parms ); + last unless defined $data; + print $fh $data or die "$! writing to temp file"; + $seekit = length $data; + } + } + + seek $fh, 0, 0 or croak "$! seeking on temp file for child's stdin" + if $seekit; + } + + croak "run3() can't redirect $type to child stdin" + unless defined $fh; + + return $fh; +} + +sub _fh_for_child_output { + my ( $what, $type, $dest, $options ) = @_; + + my $fh; + if ( $type eq "SCALAR" && $dest == \undef ) { + warn "run3(): redirecting child $what to oblivion\n" + if debugging >= 2; + + $fh = $fh_cache{nul} ||= do { + open $fh, ">", File::Spec->devnull; + $fh; + }; + } elsif ( $type eq "FH" ) { + $fh = $dest; + warn "run3(): redirecting $what to filehandle '$dest'\n" + if debugging >= 3; + } elsif ( !$type ) { + warn "run3(): feeding child $what to file '$dest'\n" + if debugging >= 2; + + open $fh, $options->{"append_$what"} ? ">>" : ">", $dest + or croak "$!: $dest"; + } else { + warn "run3(): capturing child $what\n" + if debugging >= 2; + + $fh = $fh_cache{$what} ||= tempfile; + seek $fh, 0, 0; + truncate $fh, 0; + } + + my $binmode_it = $options->{"binmode_$what"}; + _binmode($fh, $binmode_it, uc $what); + + return $fh; +} + +sub _read_child_output_fh { + my ( $what, $type, $dest, $fh, $options ) = @_; + + return if $type eq "SCALAR" && $dest == \undef; + + seek $fh, 0, 0 or croak "$! seeking on temp file for child $what"; + + if ( $type eq "SCALAR" ) { + warn "run3(): reading child $what to SCALAR\n" + if debugging >= 3; + + # two read()s are used instead of 1 so that the first will be + # logged even it reads 0 bytes; the second won't. + my $count = read $fh, $$dest, 10_000, + $options->{"append_$what"} ? length $$dest : 0; + while (1) { + croak "$! reading child $what from temp file" + unless defined $count; + + last unless $count; + + warn "run3(): read $count bytes from child $what", + debugging >= 3 ? ( ": '", substr( $$dest, -$count ), "'" ) : (), + "\n" + if debugging >= 2; + + $count = read $fh, $$dest, 10_000, length $$dest; + } + } elsif ( $type eq "ARRAY" ) { + if ($options->{"append_$what"}) { + push @$dest, <$fh>; + } else { + @$dest = <$fh>; + } + if ( debugging >= 2 ) { + my $count = 0; + $count += length for @$dest; + warn + "run3(): read ", + scalar @$dest, + " records, $count bytes from child $what", + debugging >= 3 ? ( ": '", @$dest, "'" ) : (), + "\n"; + } + } elsif ( $type eq "CODE" ) { + warn "run3(): capturing child $what to CODE ref\n" + if debugging >= 3; + + local $_; + while ( <$fh> ) { + warn + "run3(): read ", + length, + " bytes from child $what", + debugging >= 3 ? ( ": '", $_, "'" ) : (), + "\n" + if debugging >= 2; + + $dest->( $_ ); + } + } else { + croak "run3() can't redirect child $what to a $type"; + } + +} + +sub _type { + my ( $redir ) = @_; + return "FH" if eval { $redir->isa("IO::Handle") }; + my $type = ref $redir; + return $type eq "GLOB" ? "FH" : $type; +} + +sub _max_fd { + my $fd = dup(0); + POSIX::close $fd; + return $fd; +} + +my $run_call_time; +my $sys_call_time; +my $sys_exit_time; + +sub run3 { + $run_call_time = gettimeofday() if profiling; + + my $options = @_ && ref $_[-1] eq "HASH" ? pop : {}; + + my ( $cmd, $stdin, $stdout, $stderr ) = @_; + + print STDERR "run3(): running ", + join( " ", map "'$_'", ref $cmd ? @$cmd : $cmd ), + "\n" + if debugging; + + if ( ref $cmd ) { + croak "run3(): empty command" unless @$cmd; + croak "run3(): undefined command" unless defined $cmd->[0]; + croak "run3(): command name ('')" unless length $cmd->[0]; + } else { + croak "run3(): missing command" unless @_; + croak "run3(): undefined command" unless defined $cmd; + croak "run3(): command ('')" unless length $cmd; + } + + foreach (qw/binmode_stdin binmode_stdout binmode_stderr/) { + if (my $mode = $options->{$_}) { + croak qq[option $_ must be a number or a proper layer string: "$mode"] + unless $mode =~ /^(:|\d+$)/; + } + } + + my $in_type = _type $stdin; + my $out_type = _type $stdout; + my $err_type = _type $stderr; + + if ($fh_cache_pid != $$) { + # fork detected, close all cached filehandles and clear the cache + close $_ foreach values %fh_cache; + %fh_cache = (); + $fh_cache_pid = $$; + } + + # This routine procedes in stages so that a failure in an early + # stage prevents later stages from running, and thus from needing + # cleanup. + + my $in_fh = _spool_data_to_child $in_type, $stdin, + $options->{binmode_stdin} if defined $stdin; + + my $out_fh = _fh_for_child_output "stdout", $out_type, $stdout, + $options if defined $stdout; + + my $tie_err_to_out = + defined $stderr && defined $stdout && $stderr eq $stdout; + + my $err_fh = $tie_err_to_out + ? $out_fh + : _fh_for_child_output "stderr", $err_type, $stderr, + $options if defined $stderr; + + # this should make perl close these on exceptions +# local *STDIN_SAVE; + local *STDOUT_SAVE; + local *STDERR_SAVE; + + my $saved_fd0 = dup( 0 ) if defined $in_fh; + +# open STDIN_SAVE, "<&STDIN"# or croak "run3(): $! saving STDIN" +# if defined $in_fh; + open STDOUT_SAVE, ">&STDOUT" or croak "run3(): $! saving STDOUT" + if defined $out_fh; + open STDERR_SAVE, ">&STDERR" or croak "run3(): $! saving STDERR" + if defined $err_fh; + + my $errno; + my $ok = eval { + # The open() call here seems to not force fd 0 in some cases; + # I ran in to trouble when using this in VCP, not sure why. + # the dup2() seems to work. + dup2( fileno $in_fh, 0 ) +# open STDIN, "<&=" . fileno $in_fh + or croak "run3(): $! redirecting STDIN" + if defined $in_fh; + +# close $in_fh or croak "$! closing STDIN temp file" +# if ref $stdin; + + open STDOUT, ">&" . fileno $out_fh + or croak "run3(): $! redirecting STDOUT" + if defined $out_fh; + + open STDERR, ">&" . fileno $err_fh + or croak "run3(): $! redirecting STDERR" + if defined $err_fh; + + $sys_call_time = gettimeofday() if profiling; + + my $r = ref $cmd + ? system { $cmd->[0] } + is_win32 + ? map { + # Probably need to offer a win32 escaping + # option, every command may be different. + ( my $s = $_ ) =~ s/"/"""/g; + $s = qq{"$s"}; + $s; + } @$cmd + : @$cmd + : system $cmd; + + $errno = $!; # save $!, because later failures will overwrite it + $sys_exit_time = gettimeofday() if profiling; + if ( debugging ) { + my $err_fh = defined $err_fh ? \*STDERR_SAVE : \*STDERR; + if ( defined $r && $r != -1 ) { + print $err_fh "run3(): \$? is $?\n"; + } else { + print $err_fh "run3(): \$? is $?, \$! is $errno\n"; + } + } + + die $! if defined $r && $r == -1 && !$options->{return_if_system_error}; + + 1; + }; + my $x = $@; + + my @errs; + + if ( defined $saved_fd0 ) { + dup2( $saved_fd0, 0 ); + POSIX::close( $saved_fd0 ); + } + +# open STDIN, "<&STDIN_SAVE"# or push @errs, "run3(): $! restoring STDIN" +# if defined $in_fh; + open STDOUT, ">&STDOUT_SAVE" or push @errs, "run3(): $! restoring STDOUT" + if defined $out_fh; + open STDERR, ">&STDERR_SAVE" or push @errs, "run3(): $! restoring STDERR" + if defined $err_fh; + + croak join ", ", @errs if @errs; + + die $x unless $ok; + + _read_child_output_fh "stdout", $out_type, $stdout, $out_fh, $options + if defined $out_fh && $out_type && $out_type ne "FH"; + _read_child_output_fh "stderr", $err_type, $stderr, $err_fh, $options + if defined $err_fh && $err_type && $err_type ne "FH" && !$tie_err_to_out; + $profiler->run_exit( + $cmd, + $run_call_time, + $sys_call_time, + $sys_exit_time, + scalar gettimeofday() + ) if profiling; + + $! = $errno; # restore $! from system() + + return 1; +} + +1; + +__END__ + +=head2 C<< run3($cmd, $stdin, $stdout, $stderr, \%options) >> + +All parameters after C<$cmd> are optional. + +The parameters C<$stdin>, C<$stdout> and C<$stderr> indicate +how the child's corresponding filehandle +(C, C and C, resp.) will be redirected. +Because the redirects come last, this allows C and C to default +to the parent's by just not specifying them -- a common use case. + +C throws an exception if the wrapped C call returned -1 +or anything went wrong with C's processing of filehandles. +Otherwise it returns true. +It leaves C<$?> intact for inspection of exit and wait status. + +Note that a true return value from C doesn't mean that the command +had a successful exit code. Hence you should always check C<$?>. + +See L for an option to handle the case of C +returning -1 yourself. + +=head3 C<$cmd> + +Usually C<$cmd> will be an ARRAY reference and the child is invoked via + + system @$cmd; + +But C<$cmd> may also be a string in which case the child is invoked via + + system $cmd; + +(cf. L for the difference and the pitfalls of using +the latter form). + +=head3 C<$stdin>, C<$stdout>, C<$stderr> + +The parameters C<$stdin>, C<$stdout> and C<$stderr> +can take one of the following forms: + +=over 4 + +=item C (or not specified at all) + +The child inherits the corresponding filehandle from the parent. + + run3 \@cmd, $stdin; # child writes to same STDOUT and STDERR as parent + run3 \@cmd, undef, $stdout, $stderr; # child reads from same STDIN as parent + +=item C<\undef> + +The child's filehandle is redirected from or to the +local equivalent of C (as returned by +C<< File::Spec->devnull() >>). + + run3 \@cmd, \undef, $stdout, $stderr; # child reads from /dev/null + +=item a simple scalar + +The parameter is taken to be the name of a file to read from +or write to. In the latter case, the file will be opened via + + open FH, ">", ... + +i.e. it is created if it doesn't exist and truncated otherwise. +Note that the file is opened by the parent which will L +in case of failure. + + run3 \@cmd, \undef, "out.txt"; # child writes to file "out.txt" + +=item a filehandle (either a reference to a GLOB or an C) + +The filehandle is inherited by the child. + + open my $fh, ">", "out.txt"; + print $fh "prologue\n"; + ... + run3 \@cmd, \undef, $fh; # child writes to $fh + ... + print $fh "epilogue\n"; + close $fh; + +=item a SCALAR reference + +The referenced scalar is treated as a string to be read from or +written to. In the latter case, the previous content of the string +is overwritten. + + my $out; + run3 \@cmd, \undef, \$out; # child writes into string + run3 \@cmd, \<, the elements of C<@$stdin> are simply spooled to the child. + +For C<$stdout> or C<$stderr>, the child's corresponding file descriptor +is read line by line (as determined by the current setting of C<$/>) +into C<@$stdout> or C<@$stderr>, resp. The previous content of the array +is overwritten. + + my @lines; + run3 \@cmd, \undef, \@lines; # child writes into array + +=item a CODE reference + +For C<$stdin>, C<&$stdin> will be called repeatedly (with no arguments) and +the return values are spooled to the child. C<&$stdin> must signal the end of +input by returning C. + +For C<$stdout> or C<$stderr>, the child's corresponding file descriptor +is read line by line (as determined by the current setting of C<$/>) +and C<&$stdout> or C<&$stderr>, resp., is called with the contents of the line. +Note that there's no end-of-file indication. + + my $i = 0; + sub producer { + return $i < 10 ? "line".$i++."\n" : undef; + } + + run3 \@cmd, \&producer; # child reads 10 lines + +Note that this form of redirecting the child's I/O doesn't imply +any form of concurrency between parent and child - run3()'s method of +operation is the same no matter which form of redirection you specify. + +=back + +If the same value is passed for C<$stdout> and C<$stderr>, then the child +will write both C and C to the same filehandle. +In general, this means that + + run3 \@cmd, \undef, "foo.txt", "foo.txt"; + run3 \@cmd, \undef, \$both, \$both; + +will DWIM and pass a single file handle to the child for both C and +C, collecting all into file "foo.txt" or C<$both>. + +=head3 C<\%options> + +The last parameter, C<\%options>, must be a hash reference if present. + +Currently the following +keys are supported: + +=over 4 + +=item C, C, C + +The value must a "layer" as described in L. +If specified the corresponding +parameter C<$stdin>, C<$stdout> or C<$stderr>, resp., operates +with the given layer. + +For backward compatibility, a true value that doesn't start with ":" +(e.g. a number) is interpreted as ":raw". If the value is false +or not specified, the default is ":crlf" on Windows and ":raw" otherwise. + +Don't expect that values other than the built-in layers ":raw", ":crlf", +and (on newer Perls) ":bytes", ":utf8", ":encoding(...)" will work. + +=item C, C + +If their value is true then the corresponding +parameter C<$stdout> or C<$stderr>, resp., will append the child's output +to the existing "contents" of the redirector. This only makes +sense if the redirector is a simple scalar (the corresponding file +is opened in append mode), a SCALAR reference (the output is +appended to the previous contents of the string) +or an ARRAY reference (the output is Ced onto the +previous contents of the array). + +=item C + +If this is true C does B throw an exception if C +returns -1 (cf. L for possible +failure scenarios.), but returns true instead. +In this case C<$?> has the value -1 and C<$!> +contains the errno of the failing C call. + +=back + +=head1 HOW IT WORKS + +=over 4 + +=item (1) + +For each redirector C<$stdin>, C<$stdout>, and C<$stderr>, +C furnishes a filehandle: + +=over 4 + +=item * + +if the redirector already specifies a filehandle it just uses that + +=item * + +if the redirector specifies a filename, C opens the file +in the appropriate mode + +=item * + +in all other cases, C opens a temporary file +(using L) + +=back + +=item (2) + +If C opened a temporary file for C<$stdin> in step (1), +it writes the data using the specified method (either +from a string, an array or returnd by a function) to the temporary file and rewinds it. + +=item (3) + +C saves the parent's C, C and C by duplicating +them to new filehandles. It duplicates the filehandles from step (1) +to C, C and C, resp. + +=item (4) + +C runs the child by invoking L +with C<$cmd> as specified above. + +=item (5) + +C restores the parent's C, C and C saved in step (3). + +=item (6) + +If C opened a temporary file for C<$stdout> or C<$stderr> in step (1), +it rewinds it and reads back its contents using the specified method +(either to a string, an array or by calling a function). + +=item (7) + +C closes all filehandles that it opened explicitly in step (1). + +=back + +Note that when using temporary files, C tries to amortize the overhead +by reusing them (i.e. it keeps them open and rewinds and truncates them +before the next operation). + +=head1 LIMITATIONS + +Often uses intermediate files (determined by File::Temp, and thus by the +File::Spec defaults and the TMPDIR env. variable) for speed, portability and +simplicity. + +Use extrem caution when using C in a threaded environment if +concurrent calls of C are possible. Most likely, I/O from different +invocations will get mixed up. The reason is that in most thread +implementations all threads in a process share the same STDIN/STDOUT/STDERR. +Known failures are Perl ithreads on Linux and Win32. Note that C +on Win32 is emulated via Win32 threads and hence I/O mix up is possible +between forked children here (C is "fork safe" on Unix, though). + +=head1 DEBUGGING + +To enable debugging use the IPCRUN3DEBUG environment variable to +a non-zero integer value: + + $ IPCRUN3DEBUG=1 myapp + +=head1 PROFILING + +To enable profiling, set IPCRUN3PROFILE to a number to enable emitting profile +information to STDERR (1 to get timestamps, 2 to get a summary report at the +END of the program, 3 to get mini reports after each run) or to a filename to +emit raw data to a file for later analysis. + +=head1 COMPARISON + +Here's how it stacks up to existing APIs: + +=head2 compared to C, C, C, C + +=over + +=item + + +redirects more than one file descriptor + +=item + + +returns TRUE on success, FALSE on failure + +=item + + +throws an error if problems occur in the parent process (or the pre-exec child) + +=item + + +allows a very perlish interface to Perl data structures and subroutines + +=item + + +allows 1 word invocations to avoid the shell easily: + + run3 ["foo"]; # does not invoke shell + +=item - + +does not return the exit code, leaves it in $? + +=back + +=head2 compared to C, C + +=over + +=item + + +no lengthy, error prone polling/select loop needed + +=item + + +hides OS dependancies + +=item + + +allows SCALAR, ARRAY, and CODE references to source and sink I/O + +=item + + +I/O parameter order is like C (not like C). + +=item - + +does not allow interaction with the subprocess + +=back + +=head2 compared to L + +=over + +=item + + +smaller, lower overhead, simpler, more portable + +=item + + +no select() loop portability issues + +=item + + +does not fall prey to Perl closure leaks + +=item - + +does not allow interaction with the subprocess (which +IPC::Run::run() allows by redirecting subroutines) + +=item - + +lacks many features of C (filters, pipes, +redirects, pty support) + +=back + +=head1 COPYRIGHT + +Copyright 2003, R. Barrie Slaymaker, Jr., All Rights Reserved + +=head1 LICENSE + +You may use this module under the terms of the BSD, Artistic, or GPL licenses, +any version. + +=head1 AUTHOR + +Barrie Slaymaker ECE + +Ricardo SIGNES ECE performed some routine maintenance in +2005, thanks to help from the following ticket and/or patch submitters: Jody +Belka, Roderich Schupp, David Morel, and anonymous others. + +=cut diff --git a/tests/README b/tests/README new file mode 100644 index 00000000..d6b7cf51 --- /dev/null +++ b/tests/README @@ -0,0 +1,11 @@ +IPC::Run3 code is included, which is copyright 2003 by R. Barrie Slaymaker and +makes the disclaimer: + +You may use this module under the terms of the BSD, Artistic, or GPL licenses, +any version. + +For more information, refer to: + http://search.cpan.org/~rjbs/IPC-Run3-0.043/lib/IPC/Run3.pm + +The rest of the code and data is subject to the cdec BSD license. + diff --git a/tests/run-system-tests.pl b/tests/run-system-tests.pl new file mode 100755 index 00000000..8555ef78 --- /dev/null +++ b/tests/run-system-tests.pl @@ -0,0 +1,121 @@ +#!/usr/bin/perl -w +use strict; +my $script_dir; BEGIN { use Cwd qw/ abs_path cwd /; use File::Basename; $script_dir = dirname(abs_path($0)); push @INC, $script_dir; } + +use IPC::Run3; +use File::Temp qw ( tempdir ); +my $TEMP_DIR = tempdir( CLEANUP => 1 ); + +#my $cwd = cwd(); +#die "Sanity failed: $cwd" unless -d $cwd; +my $DECODER = "$script_dir/../decoder/cdec"; +my $FILTER = "$script_dir/tools/filter-stderr.pl"; +my $COMPARE_STATS = "$script_dir/tools/compare-statistics.pl"; + +die "Can't find $DECODER" unless -f $DECODER; +die "Can't execute $DECODER" unless -x $DECODER; +die "Can't find $FILTER" unless -f $FILTER; +die "Can't execute $FILTER" unless -x $FILTER; +die "Can't find $COMPARE_STATS" unless -f $COMPARE_STATS; +die "Can't execute $COMPARE_STATS" unless -x $COMPARE_STATS; + +my $TEST_DIR = "$script_dir/system_tests"; +opendir DIR, $TEST_DIR or die "Can't open $TEST_DIR: $!"; +#my @test_dirs = grep { /^\./ && −d "$some_dir/$_" } readdir(DIR); +my @tests = grep { !/^\./ && -d "$TEST_DIR/$_" } readdir(DIR); +closedir DIR; + +print STDERR " DECODER: $DECODER\n"; +print STDERR " TESTS: @tests\n"; +print STDERR "TEMP DIR: $TEMP_DIR\n"; + +my $FAIL = 0; +my $PASS = 0; +for my $test (@tests) { + print "TEST: $test\n"; + chdir "$TEST_DIR/$test" or die "Can't chdir to $TEST_DIR/$test: $!"; + my $CMD = "$DECODER"; + unless (-f 'gold.statistics') { + print " missing gold.statistics -- SKIPPING\n"; + $FAIL++; + next; + } + unless (-f 'gold.stdout') { + print " missing gold.stdout -- SKIPPING\n"; + $FAIL++; + next; + } + if (-f 'cdec.ini') { + $CMD .= ' -c cdec.ini'; + } + if (-f 'weights') { + $CMD .= ' -w weights'; + } + if (-f 'input.txt') { + $CMD .= ' -i input.txt'; + } + + run3 $CMD, \undef, "$TEMP_DIR/stdout", "$TEMP_DIR/stderr"; + if ($? != 0) { + print STDERR " non-zero exit! command: $CMD\n"; + $FAIL++; + } else { + die unless -f "$TEMP_DIR/stdout"; + my $failed = 0; + run3 "diff gold.stdout $TEMP_DIR/stdout"; + if ($? != 0) { + print STDERR " FAILED differences in output!\n"; + $failed = 1; + } + die unless -f "$TEMP_DIR/stderr"; + run3 "$FILTER", "$TEMP_DIR/stderr", "$TEMP_DIR/test.statistics"; + if ($? != 0) { + print STDERR " non-zero exit: $FILTER\n"; + $FAIL++; + next; + } + my @lines; + run3 "$COMPARE_STATS gold.statistics", "$TEMP_DIR/test.statistics", \@lines; + if (scalar @lines != 1) { + print STDERR " unexpected output: @lines\n"; + $FAIL++; + next; + } + my $l = $lines[0]; chomp $l; + if ($l =~ /^(\d+) (\d+)$/) { + my $passes = $1; + my $total = $2; + my $pct = $passes * 100 / $total; + $pct = sprintf "%.2f", $pct; + + if ($total == $passes) { + if ($failed) { + print " (decoder statistics match, though)\n"; + } else { + print " PASSED\n"; + } + } else { + if ($failed) { + print " ($pct of decoder search statistics match)\n"; + } else { + print " FAILED $pct of decoder search statistics match\n"; + } + } + } else { + $failed = 1; + print STDERR " bad format: $l\n"; + } + if ($failed) { $FAIL++; } else { $PASS++; } + } +} + +my $TOT = $PASS + $FAIL; +print "\nSUMMARY: $PASS / $TOT TESTS PASSED\n"; +if ($FAIL != 0) { + print " !!! THERE WERE FAILURES - DECODER IS ACTING SUSPICIOUSLY !!!\n\n"; + exit 1; +} else { + print "\n"; + exit 0; +} + diff --git a/tests/system_tests/australia-align/australia.scfg.gz b/tests/system_tests/australia-align/australia.scfg.gz new file mode 100644 index 00000000..0cd70f1f Binary files /dev/null and b/tests/system_tests/australia-align/australia.scfg.gz differ diff --git a/tests/system_tests/australia-align/cdec.ini b/tests/system_tests/australia-align/cdec.ini new file mode 100644 index 00000000..eba98941 --- /dev/null +++ b/tests/system_tests/australia-align/cdec.ini @@ -0,0 +1,3 @@ +formalism=scfg +grammar=australia.scfg.gz +aligner=true diff --git a/tests/system_tests/australia-align/gold.statistics b/tests/system_tests/australia-align/gold.statistics new file mode 100644 index 00000000..8101bd40 --- /dev/null +++ b/tests/system_tests/australia-align/gold.statistics @@ -0,0 +1,8 @@ +-lm_nodes 77 +-lm_edges 244232 +-lm_paths 3.79555e+28 +-lm_trans australia is have diplomatic relations with north korea one of the few countries . +-lm_viterbi -12.7893 +constr_nodes 111 +constr_edges 305 +constr_paths 9899 diff --git a/tests/system_tests/australia-align/gold.stdout b/tests/system_tests/australia-align/gold.stdout new file mode 100644 index 00000000..ef2aea03 --- /dev/null +++ b/tests/system_tests/australia-align/gold.stdout @@ -0,0 +1 @@ +澳洲 是 与 北韩 有 邦交 的 少数 国家 之一 。 ||| australia is one of the few countries that has diplomatic relations with north korea . ||| 0-0 1-1 2-11 3-12 3-13 4-7 4-8 5-9 5-10 6-4 7-5 8-6 9-2 9-3 10-14 diff --git a/tests/system_tests/australia-align/input.txt b/tests/system_tests/australia-align/input.txt new file mode 100644 index 00000000..482d3e4b --- /dev/null +++ b/tests/system_tests/australia-align/input.txt @@ -0,0 +1 @@ +澳洲 是 与 北韩 有 邦交 的 少数 国家 之一 。 ||| australia is one of the few countries that has diplomatic relations with north korea . diff --git a/tests/system_tests/australia-align/stderr b/tests/system_tests/australia-align/stderr new file mode 100644 index 00000000..c49e3bd0 --- /dev/null +++ b/tests/system_tests/australia-align/stderr @@ -0,0 +1,48 @@ +cdec v1.0 (c) 2009 by Chris Dyer +Configuration file: cdec.ini +Reading SCFG grammar from australia.scfg.gz + 33737 rules read. +Reading weights from weights +Loaded 7 feature weights +Reading input from input.txt + +INPUT: 澳洲 是 与 北韩 有 邦交 的 少数 国家 之一 。 ||| australia is one of the few ... + id = 0 + Goal category: [S] + ........... + -LM forest (nodes/edges): 77/244232 + -LM forest (paths): 3.79555e+28 + -LM Viterbi: australia is have diplomatic relations with north korea one of the few countries . + -LM Viterbi: -12.7893 + Goal category: [CAT_76] + ............... + Constr. forest (nodes/edges): 111/305 + Constr. forest (paths): 9899 + Constr. VitTree: (CAT_76 (CAT_75 (CAT_73 (CAT_13 (CAT_12 australia is)) (CAT_66 (CAT_55 (CAT_40 one of the few countries) (CAT_5 that has) diplomatic relations) with north korea)) (CAT_11 .))) + 1 0.367526 0 0 0 0 0 0 0 0 0 0 0 0 0 + 0.367526 0.999979 0.100222 0.0997905 0.0210297 0 0 0.00481735 8.02707e-12 0 0 0 0 0 0.0587194 + 0 9.42288e-12 0 8.53331e-07 3.77376e-06 0 0 8.02707e-12 0.0310404 0 0 0.999994 0.947965 0.947965 9.71274e-07 + 0 0 0 0 0 0 0 0 0 0 0 0.947965 1 1 0 + 0 0 7.54036e-06 6.96573e-05 0 0 0 0.742293 0.999244 0 0 0.0310422 0 0 0.000677908 + 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 + 0 0.02397 0.328274 0.330722 0.961649 0.321117 0.263254 0.257688 0.000755969 0 0 3.82289e-06 0 0 0.0265549 + 0 0 0.130232 0.130232 0.321285 1 0.565141 0 0 0 0 0 0 0 0 + 0 0 0.108129 0.10919 0.260861 0.565141 1 0 0 0 0 0 0 0 2.53515e-12 + 0 0.100047 0.999815 0.996401 0.365844 0.130232 0.108128 0 0 0 0 0 0 0 0.112835 + 0 0.058724 0.112814 0.112464 0.0214041 0 0 0.00590826 0 0 0 0 0 0 1 + + 012345678901234 +0*..............0 +1.*.............1 +2...........*...2 +3............**.3 +4.......**......4 +5.........**....5 +6....*..........6 +7.....*.........7 +8......*........8 +9..**...........9 +0..............*0 + 012345678901234 + +Translation: 1.41218 secs (1 calls) diff --git a/tests/system_tests/australia-align/weights b/tests/system_tests/australia-align/weights new file mode 100644 index 00000000..a280184c --- /dev/null +++ b/tests/system_tests/australia-align/weights @@ -0,0 +1,7 @@ +WordPenalty -2.844814 +LanguageModel 1.0 +PhraseModel_0 -1.066893 +PhraseModel_1 -0.752247 +PhraseModel_2 -0.589793 +PassThrough -20.0 +Glue 0 diff --git a/tests/system_tests/australia/australia.scfg.gz b/tests/system_tests/australia/australia.scfg.gz new file mode 100644 index 00000000..0cd70f1f Binary files /dev/null and b/tests/system_tests/australia/australia.scfg.gz differ diff --git a/tests/system_tests/australia/cdec.ini b/tests/system_tests/australia/cdec.ini new file mode 100644 index 00000000..dfc3cb20 --- /dev/null +++ b/tests/system_tests/australia/cdec.ini @@ -0,0 +1,2 @@ +formalism=scfg +grammar=australia.scfg.gz diff --git a/tests/system_tests/australia/gold.statistics b/tests/system_tests/australia/gold.statistics new file mode 100644 index 00000000..050d12dd --- /dev/null +++ b/tests/system_tests/australia/gold.statistics @@ -0,0 +1,8 @@ +-lm_nodes 77 +-lm_edges 244232 +-lm_paths 3.79555e+28 +-lm_trans australia is have diplomatic relations with north korea one of the few countries . +-lm_viterbi -12.7893 +constr_nodes 185 +constr_edges 827 +constr_paths 279358 diff --git a/tests/system_tests/australia/gold.stdout b/tests/system_tests/australia/gold.stdout new file mode 100644 index 00000000..e69de29b diff --git a/tests/system_tests/australia/input.txt b/tests/system_tests/australia/input.txt new file mode 100644 index 00000000..f14bf535 --- /dev/null +++ b/tests/system_tests/australia/input.txt @@ -0,0 +1 @@ +澳洲 是 与 北韩 有 邦交 的 少数 国家 之一 。 ||| ((('australia',0,1),),(('is',0,1),),(('one',0,1),),(('of',0,1),),(('the',0,4),('a',0,4),('a',0,1),('the',0,1),),(('small',0,1),('tiny',0,1),('miniscule',0,1),('handful',0,2),),(('number',0,1),('group',0,1),),(('of',0,2),),(('few',0,1),),(('countries',0,1),),(('that',0,1),),(('has',0,1),('have',0,1),),(('diplomatic',0,1),),(('relations',0,1),),(('with',0,1),),(('north',0,1),),(('korea',0,1),),(('.',0,1),),) diff --git a/tests/system_tests/australia/stderr b/tests/system_tests/australia/stderr new file mode 100644 index 00000000..c41fb9fb --- /dev/null +++ b/tests/system_tests/australia/stderr @@ -0,0 +1,22 @@ +cdec v1.0 (c) 2009 by Chris Dyer +Configuration file: cdec.ini +Reading SCFG grammar from australia.scfg.gz + 33737 rules read. +Reading weights from weights +Loaded 7 feature weights +Reading input from input.txt + +INPUT: 澳洲 是 与 北韩 有 邦交 的 少数 国家 之一 。 ||| ... + id = 0 + Goal category: [S] + ........... + -LM forest (nodes/edges): 77/244232 + -LM forest (paths): 3.79555e+28 + -LM Viterbi: australia is have diplomatic relations with north korea one of the few countries . + -LM Viterbi: -12.7893 + Goal category: [CAT_76] + .................. + Constr. forest (nodes/edges): 185/827 + Constr. forest (paths): 279358 + Constr. VitTree: (CAT_76 (CAT_75 (CAT_1 (CAT_0 australia)) (CAT_74 is (CAT_31 one of (CAT_20 a few countries)) that (CAT_36 have diplomatic relations (CAT_15 with north korea)) .))) +Translation: 2.69099 secs (1 calls) diff --git a/tests/system_tests/australia/weights b/tests/system_tests/australia/weights new file mode 100644 index 00000000..a280184c --- /dev/null +++ b/tests/system_tests/australia/weights @@ -0,0 +1,7 @@ +WordPenalty -2.844814 +LanguageModel 1.0 +PhraseModel_0 -1.066893 +PhraseModel_1 -0.752247 +PhraseModel_2 -0.589793 +PassThrough -20.0 +Glue 0 diff --git a/tests/system_tests/controlled_synparse/cdec.ini b/tests/system_tests/controlled_synparse/cdec.ini new file mode 100644 index 00000000..b5c7d4d8 --- /dev/null +++ b/tests/system_tests/controlled_synparse/cdec.ini @@ -0,0 +1,3 @@ +formalism=scfg +grammar=scfg.biparse.gz +k_best=100 diff --git a/tests/system_tests/controlled_synparse/gold.statistics b/tests/system_tests/controlled_synparse/gold.statistics new file mode 100644 index 00000000..3885cf94 --- /dev/null +++ b/tests/system_tests/controlled_synparse/gold.statistics @@ -0,0 +1,16 @@ +-lm_nodes 11 +-lm_edges 18 +-lm_paths 18 +-lm_trans a d c b +-lm_trans 0 +constr_nodes 8 +constr_edges 8 +constr_paths 1 +-lm_nodes 11 +-lm_edges 18 +-lm_paths 18 +-lm_trans a d c b +-lm_trans 0 +constr_nodes 12 +constr_edges 14 +constr_paths 3 diff --git a/tests/system_tests/controlled_synparse/gold.stdout b/tests/system_tests/controlled_synparse/gold.stdout new file mode 100644 index 00000000..9e68069e --- /dev/null +++ b/tests/system_tests/controlled_synparse/gold.stdout @@ -0,0 +1,36 @@ +0 ||| c b c d ||| F1bad2=1;F5=1;F6=1;F7=1;Glue=3 ||| 0 +0 ||| c d c b e ||| F1bad2=1;F4=1;F5=1;F7=1;Glue=1 ||| 0 +0 ||| c b c d ||| F1bad2=1;F6=1;F7=1;F9=1;Glue=2 ||| 0 +0 ||| b d c b e ||| F1bad1=1;F4=1;F5=1;F7=1;Glue=1 ||| 0 +0 ||| c b c d ||| F1bad2=1;F3=1;F5=1;F7=1;Glue=1 ||| 0 +0 ||| a d c b e ||| F1=1;F4=1;F5=1;F7=1;Glue=1 ||| 0 +0 ||| b b c d ||| F1bad1=1;F3=1;F5=1;F7=1;Glue=1 ||| 0 +0 ||| c d c b ||| F1bad2=1;F2=1;F5=1;F7=1;Glue=1 ||| 0 +0 ||| a b c d ||| F1=1;F3=1;F5=1;F7=1;Glue=1 ||| 0 +0 ||| b b c d ||| F1bad1=1;F5=1;F6=1;F7=1;Glue=3 ||| 0 +0 ||| b d c b ||| F1bad1=1;F2=1;F5=1;F7=1;Glue=1 ||| 0 +0 ||| a d c b ||| F1=1;F2=1;F5=1;F7=1;Glue=1 ||| 0 +0 ||| b b c d ||| F1bad1=1;F6=1;F7=1;F9=1;Glue=2 ||| 0 +0 ||| c c b d ||| F1bad2=1;F6=1;F7=1;F8=1;Glue=2 ||| 0 +0 ||| a b c d ||| F1=1;F6=1;F7=1;F9=1;Glue=2 ||| 0 +0 ||| a b c d ||| F1=1;F5=1;F6=1;F7=1;Glue=3 ||| 0 +0 ||| b c b d ||| F1bad1=1;F6=1;F7=1;F8=1;Glue=2 ||| 0 +0 ||| a c b d ||| F1=1;F6=1;F7=1;F8=1;Glue=2 ||| 0 +1 ||| c b c d ||| F1bad2=1;F5=1;F6=1;F7=1;Glue=3 ||| 0 +1 ||| c d c b e ||| F1bad2=1;F4=1;F5=1;F7=1;Glue=1 ||| 0 +1 ||| c b c d ||| F1bad2=1;F6=1;F7=1;F9=1;Glue=2 ||| 0 +1 ||| b d c b e ||| F1bad1=1;F4=1;F5=1;F7=1;Glue=1 ||| 0 +1 ||| c b c d ||| F1bad2=1;F3=1;F5=1;F7=1;Glue=1 ||| 0 +1 ||| a d c b e ||| F1=1;F4=1;F5=1;F7=1;Glue=1 ||| 0 +1 ||| b b c d ||| F1bad1=1;F3=1;F5=1;F7=1;Glue=1 ||| 0 +1 ||| c d c b ||| F1bad2=1;F2=1;F5=1;F7=1;Glue=1 ||| 0 +1 ||| a b c d ||| F1=1;F3=1;F5=1;F7=1;Glue=1 ||| 0 +1 ||| b b c d ||| F1bad1=1;F5=1;F6=1;F7=1;Glue=3 ||| 0 +1 ||| b d c b ||| F1bad1=1;F2=1;F5=1;F7=1;Glue=1 ||| 0 +1 ||| a d c b ||| F1=1;F2=1;F5=1;F7=1;Glue=1 ||| 0 +1 ||| b b c d ||| F1bad1=1;F6=1;F7=1;F9=1;Glue=2 ||| 0 +1 ||| c c b d ||| F1bad2=1;F6=1;F7=1;F8=1;Glue=2 ||| 0 +1 ||| a b c d ||| F1=1;F6=1;F7=1;F9=1;Glue=2 ||| 0 +1 ||| a b c d ||| F1=1;F5=1;F6=1;F7=1;Glue=3 ||| 0 +1 ||| b c b d ||| F1bad1=1;F6=1;F7=1;F8=1;Glue=2 ||| 0 +1 ||| a c b d ||| F1=1;F6=1;F7=1;F8=1;Glue=2 ||| 0 diff --git a/tests/system_tests/controlled_synparse/input.txt b/tests/system_tests/controlled_synparse/input.txt new file mode 100644 index 00000000..2dbc09c8 --- /dev/null +++ b/tests/system_tests/controlled_synparse/input.txt @@ -0,0 +1,2 @@ +A B C D ||| a d c b +A B C D ||| a b c d diff --git a/tests/system_tests/controlled_synparse/scfg.biparse.gz b/tests/system_tests/controlled_synparse/scfg.biparse.gz new file mode 100644 index 00000000..aaf1c41d Binary files /dev/null and b/tests/system_tests/controlled_synparse/scfg.biparse.gz differ diff --git a/tests/system_tests/ftrans/cdec.ini b/tests/system_tests/ftrans/cdec.ini new file mode 100644 index 00000000..e8e004d6 --- /dev/null +++ b/tests/system_tests/ftrans/cdec.ini @@ -0,0 +1,3 @@ +formalism=fst +k_best=1000 +grammar=ftrans.pt diff --git a/tests/system_tests/ftrans/ftrans.pt b/tests/system_tests/ftrans/ftrans.pt new file mode 100644 index 00000000..7e8c6f59 --- /dev/null +++ b/tests/system_tests/ftrans/ftrans.pt @@ -0,0 +1,4 @@ +b ||| B ||| F1=1 OtherFeat=1 +c ||| C ||| F2=0.2 +b c ||| BC ||| F3=0.4 +c b ||| CB ||| F4=1 diff --git a/tests/system_tests/ftrans/gold.statistics b/tests/system_tests/ftrans/gold.statistics new file mode 100644 index 00000000..40cdfd4c --- /dev/null +++ b/tests/system_tests/ftrans/gold.statistics @@ -0,0 +1,5 @@ +-lm_nodes 13 +-lm_edges 16 +-lm_paths 4 +-lm_trans CB +-lm_viterbi 101 diff --git a/tests/system_tests/ftrans/gold.stdout b/tests/system_tests/ftrans/gold.stdout new file mode 100644 index 00000000..b81534fc --- /dev/null +++ b/tests/system_tests/ftrans/gold.stdout @@ -0,0 +1,4 @@ +0 ||| CB ||| F4=1;Inv=1 ||| 101 +0 ||| BC ||| F3=0.4;Mono=1 ||| 6 +0 ||| B C ||| F1=1;F2=0.2;OtherFeat=1;Mono=1 ||| 3 +0 ||| C B ||| F1=1;F2=0.2;OtherFeat=1;Inv=1 ||| 2 diff --git a/tests/system_tests/ftrans/input.cfg b/tests/system_tests/ftrans/input.cfg new file mode 100644 index 00000000..b602c1cb --- /dev/null +++ b/tests/system_tests/ftrans/input.cfg @@ -0,0 +1,5 @@ +[S] ||| [A] +[A] ||| [B] [C] ||| Mono=1 +[A] ||| [C] [B] ||| Inv=1 +[B] ||| b +[C] ||| c diff --git a/tests/system_tests/ftrans/input.txt b/tests/system_tests/ftrans/input.txt new file mode 100644 index 00000000..aa37b2e7 --- /dev/null +++ b/tests/system_tests/ftrans/input.txt @@ -0,0 +1 @@ +{"rules":[1,"[B] ||| b ||| b",2,"[C] ||| c ||| c",3,"[A] ||| [B,1] [C,2] ||| [1] [2] ||| Mono=1",4,"[A] ||| [C,1] [B,2] ||| [1] [2] ||| Inv=1",5,"[S] ||| [A,1] ||| [1]"],"features":["Mono","Inv"],"edges":[{"tail":[],"feats":[],"rule":1}],"node":{"in_edges":[0],"cat":"B"},"edges":[{"tail":[],"feats":[],"rule":2}],"node":{"in_edges":[1],"cat":"C"},"edges":[{"tail":[0,1],"feats":[0,1],"rule":3},{"tail":[1,0],"feats":[1,1],"rule":4}],"node":{"in_edges":[2,3],"cat":"A"},"edges":[{"tail":[2],"feats":[],"rule":5}],"node":{"in_edges":[4],"cat":"S"}} diff --git a/tests/system_tests/ftrans/weights b/tests/system_tests/ftrans/weights new file mode 100644 index 00000000..8b321966 --- /dev/null +++ b/tests/system_tests/ftrans/weights @@ -0,0 +1,7 @@ +F1 1 +F2 0 +F3 10 +F4 100 +OtherFeat 0 +Mono 2 +Inv 1 diff --git a/tests/system_tests/hmm/cdec.ini b/tests/system_tests/hmm/cdec.ini new file mode 100644 index 00000000..04ef0d6e --- /dev/null +++ b/tests/system_tests/hmm/cdec.ini @@ -0,0 +1,4 @@ +aligner=true +intersection_strategy=full +formalism=lexalign +feature_function=MarkovJump +b diff --git a/tests/system_tests/hmm/gold.statistics b/tests/system_tests/hmm/gold.statistics new file mode 100644 index 00000000..3957cba4 --- /dev/null +++ b/tests/system_tests/hmm/gold.statistics @@ -0,0 +1,12 @@ +-lm_nodes 10 +-lm_edges 40 +-lm_paths 16807 +-lm_trans it is quite understandable . +-lm_viterbi -3.42891 ++lm_nodes 64 ++lm_edges 238 ++lm_paths 16807 ++lm_trans it is quite understandable . +constr_nodes 64 +constr_edges 238 +constr_paths 16807 diff --git a/tests/system_tests/hmm/gold.stdout b/tests/system_tests/hmm/gold.stdout new file mode 100644 index 00000000..1ee2d5f4 --- /dev/null +++ b/tests/system_tests/hmm/gold.stdout @@ -0,0 +1 @@ +ce est tout à fait compréhensible . ||| it is quite understandable . ||| 0-0 1-1 5-2 5-3 6-4 diff --git a/tests/system_tests/hmm/input.txt b/tests/system_tests/hmm/input.txt new file mode 100644 index 00000000..2d75bc78 --- /dev/null +++ b/tests/system_tests/hmm/input.txt @@ -0,0 +1 @@ +ce est tout à 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--git a/tests/system_tests/lattice/gold.stdout b/tests/system_tests/lattice/gold.stdout new file mode 100644 index 00000000..1a609df0 --- /dev/null +++ b/tests/system_tests/lattice/gold.stdout @@ -0,0 +1,5 @@ +0 ||| ab ||| WordPenalty=-0.434294;SourceWordPenalty=-0.434294;Cost=0.1;LatticeCost=0.125 ||| -1.09359 +0 ||| cb ||| WordPenalty=-0.434294;SourceWordPenalty=-0.868589;Cost=0.3;LatticeCost=2.25 ||| -3.85288 +0 ||| a_b ||| WordPenalty=-0.434294;SourceWordPenalty=-0.868589;Cost=0.2;LatticeCost=2.5 ||| -4.00288 +0 ||| a b ||| WordPenalty=-0.868589;SourceWordPenalty=-0.868589;Glue=1;Cost=0.3;LatticeCost=2.5 ||| -4.53718 +0 ||| a' b ||| WordPenalty=-0.868589;SourceWordPenalty=-0.868589;Glue=1;Cost=0.3;LatticeCost=2.5 ||| -4.53718 diff --git a/tests/system_tests/lattice/input.txt b/tests/system_tests/lattice/input.txt new file mode 100644 index 00000000..e0cd1b57 --- /dev/null +++ b/tests/system_tests/lattice/input.txt @@ -0,0 +1 @@ +((('A',0.5,1),('C',0.25,1),('AB',0.125,2),),(('B',2,1),),) diff --git a/tests/system_tests/lattice/lattice.scfg b/tests/system_tests/lattice/lattice.scfg new file mode 100644 index 00000000..87a72383 --- /dev/null +++ b/tests/system_tests/lattice/lattice.scfg @@ -0,0 +1,6 @@ +[X] ||| A ||| a ||| Cost=0.1 +[X] ||| A ||| a' ||| Cost=0.1 +[X] ||| B ||| b ||| Cost=0.2 +[X] ||| AB ||| ab ||| Cost=0.1 +[X] ||| C B ||| cb ||| Cost=0.3 +[X] ||| A B ||| a_b ||| Cost=0.2 diff --git a/tests/system_tests/lattice/weights b/tests/system_tests/lattice/weights new file mode 100644 index 00000000..cb59b27b --- /dev/null +++ b/tests/system_tests/lattice/weights @@ -0,0 +1,5 @@ +WordPenalty 1 +SourceWordPenalty 1 +Glue 0 +Cost -1 +LatticeCost -1 diff --git a/tests/system_tests/mcle_gradient/cdec.ini b/tests/system_tests/mcle_gradient/cdec.ini new file mode 100644 index 00000000..10a588f5 --- /dev/null +++ b/tests/system_tests/mcle_gradient/cdec.ini @@ -0,0 +1,6 @@ +cll_gradient=true +combine_size=100 +vector_format=text +formalism=scfg +scfg_no_hiero_glue_grammar=true +grammar=test.grammar.gz diff --git a/tests/system_tests/mcle_gradient/gold.statistics b/tests/system_tests/mcle_gradient/gold.statistics new file mode 100644 index 00000000..94af9d7d --- /dev/null +++ b/tests/system_tests/mcle_gradient/gold.statistics @@ -0,0 +1,24 @@ +-lm_nodes 4 +-lm_edges 8 +-lm_paths 5 +-lm_trans A +-lm_trans 0.652536 +constr_nodes 5 +constr_edges 6 +constr_paths 2 +-lm_nodes 4 +-lm_edges 8 +-lm_paths 5 +-lm_trans A +-lm_trans 0.652536 +constr_nodes 5 +constr_edges 5 +constr_paths 1 +-lm_nodes 7 +-lm_edges 17 +-lm_paths 15 +-lm_trans C A +-lm_trans 0.74624 +constr_nodes 8 +constr_edges 13 +constr_paths 6 diff --git a/tests/system_tests/mcle_gradient/gold.stdout b/tests/system_tests/mcle_gradient/gold.stdout new file mode 100644 index 00000000..cc0bd08c --- /dev/null +++ b/tests/system_tests/mcle_gradient/gold.stdout @@ -0,0 +1 @@ +0 **OBJ**=3.05441;RewriteXY=-0.123601;SomeFeat=0.431589;F1=0.139951;F2=0.05909;F3=-0.116843;F4=0.106688;F5=0.0811144;F6=-0.257667;F7=-0.0224891;F8=0.118842;F9=-0.545223;F10=0.473137;F11=0.0176334;F12=-0.210479;F13=0.0162935 diff --git a/tests/system_tests/mcle_gradient/input.txt b/tests/system_tests/mcle_gradient/input.txt new file mode 100644 index 00000000..a23bc339 --- /dev/null +++ b/tests/system_tests/mcle_gradient/input.txt @@ -0,0 +1,3 @@ +a ||| A +a ||| A B C +a b ||| A B diff --git a/tests/system_tests/mcle_gradient/test.grammar.gz b/tests/system_tests/mcle_gradient/test.grammar.gz new file mode 100644 index 00000000..0ee472a1 Binary files /dev/null and b/tests/system_tests/mcle_gradient/test.grammar.gz differ diff --git a/tests/system_tests/mcle_gradient/weights b/tests/system_tests/mcle_gradient/weights new file mode 100644 index 00000000..2f14e6bd --- /dev/null +++ b/tests/system_tests/mcle_gradient/weights @@ -0,0 +1,16 @@ +RewriteXY 0.2 +Top 0 +SomeFeat 0.3353 +F1 0.63643 +F2 -0.1313 +F3 -0.1122 +F4 0.6123 +F5 0.2311 +F6 0.4133 +F7 -0.6161 +F8 0.1214 +F9 0.16 +F10 0.14251 +F11 -0.1525 +F12 0.2 +F13 0.002 diff --git a/tests/system_tests/unsup-align/cdec.ini b/tests/system_tests/unsup-align/cdec.ini new file mode 100644 index 00000000..885338a6 --- /dev/null +++ b/tests/system_tests/unsup-align/cdec.ini @@ -0,0 +1,6 @@ +aligner=true +grammar=unsup-align.lex-grammar +intersection_strategy=full +formalism=lextrans +feature_function=RelativeSentencePosition +feature_function=MarkovJump -b diff --git a/tests/system_tests/unsup-align/gold.statistics b/tests/system_tests/unsup-align/gold.statistics new file mode 100644 index 00000000..975c9d4e --- /dev/null +++ b/tests/system_tests/unsup-align/gold.statistics @@ -0,0 +1,96 @@ +-lm_nodes 2 +-lm_edges 3 +-lm_paths 2 +-lm_trans blue +-lm_trans 0.4528 ++lm_nodes 2 ++lm_edges 3 ++lm_paths 2 ++lm_trans blue +constr_nodes 2 +constr_edges 2 +constr_paths 1 +-lm_nodes 2 +-lm_edges 4 +-lm_paths 3 +-lm_trans house +-lm_trans 0.673643 ++lm_nodes 2 ++lm_edges 4 ++lm_paths 3 ++lm_trans house +constr_nodes 2 +constr_edges 2 +constr_paths 1 +-lm_nodes 4 +-lm_edges 16 +-lm_paths 49 +-lm_trans the the +-lm_viterbi 1.42559 ++lm_nodes 7 ++lm_edges 20 ++lm_paths 49 ++lm_trans the house +constr_nodes 7 +constr_edges 10 +constr_paths 4 +-lm_nodes 4 +-lm_edges 12 +-lm_paths 25 +-lm_trans house house +-lm_viterbi 1.34729 ++lm_nodes 7 ++lm_edges 16 ++lm_paths 25 ++lm_trans house blue +constr_nodes 7 +constr_edges 10 +constr_paths 4 +-lm_nodes 4 +-lm_edges 14 +-lm_paths 36 +-lm_trans the the +-lm_viterbi 1.42559 ++lm_nodes 7 ++lm_edges 18 ++lm_paths 36 ++lm_trans the the +constr_nodes 7 +constr_edges 10 +constr_paths 4 +-lm_nodes 2 +-lm_edges 5 +-lm_paths 4 +-lm_trans the +-lm_trans 0.712796 ++lm_nodes 2 ++lm_edges 5 ++lm_paths 4 ++lm_trans the +constr_nodes 2 +constr_edges 2 +constr_paths 1 +-lm_nodes 4 +-lm_edges 14 +-lm_paths 36 +-lm_trans the the +-lm_viterbi 1.42559 ++lm_nodes 7 ++lm_edges 18 ++lm_paths 36 ++lm_trans the the +constr_nodes 7 +constr_edges 10 +constr_paths 4 +-lm_nodes 4 +-lm_edges 10 +-lm_paths 16 +-lm_trans thet thet +-lm_trans 0 ++lm_nodes 7 ++lm_edges 14 ++lm_paths 16 ++lm_trans thet thet +constr_nodes 7 +constr_edges 10 +constr_paths 4 diff --git a/tests/system_tests/unsup-align/gold.stdout b/tests/system_tests/unsup-align/gold.stdout new file mode 100644 index 00000000..6203b462 --- /dev/null +++ b/tests/system_tests/unsup-align/gold.stdout @@ -0,0 +1,8 @@ +bleue ||| blue ||| 0-0 +maison ||| house ||| 0-0 +la maison ||| the house ||| 0-0 1-1 +maison bleue ||| blue house ||| 0-1 1-0 +la fleur ||| the flower ||| 0-0 1-1 +la ||| the ||| 0-0 +la bouche ||| the mouth ||| 0-0 1-1 +le fin ||| thet end ||| 0-0 1-1 diff --git a/tests/system_tests/unsup-align/input.txt b/tests/system_tests/unsup-align/input.txt new file mode 100644 index 00000000..b97f81cf --- /dev/null +++ b/tests/system_tests/unsup-align/input.txt @@ -0,0 +1,8 @@ +bleue ||| blue +maison ||| house +la maison ||| the house +maison bleue ||| blue house +la fleur ||| the flower +la ||| the +la bouche ||| the mouth +le fin ||| thet end diff --git a/tests/system_tests/unsup-align/unsup-align.lex-grammar b/tests/system_tests/unsup-align/unsup-align.lex-grammar new file mode 100644 index 00000000..30b1a61a --- /dev/null +++ b/tests/system_tests/unsup-align/unsup-align.lex-grammar @@ -0,0 +1,17 @@ +bleue ||| blue ||| F1000001=1 +bleue ||| house ||| F1000002=1 +bouche ||| the ||| F1000003=1 +bouche ||| mouth ||| F1000004=1 +fin ||| thet ||| F1000005=1 +fin ||| end ||| F1000006=1 +fleur ||| the ||| F1000007=1 +fleur ||| flower ||| F1000008=1 +la ||| the ||| F1000009=1 +la ||| house ||| F1000010=1 +la ||| flower ||| F1000011=1 +la ||| mouth ||| F1000012=1 +le ||| thet ||| F1000013=1 +le ||| end ||| F1000014=1 +maison ||| house ||| F1000015=1 +maison ||| the ||| F1000016=1 +maison ||| blue ||| F1000017=1 diff --git a/tests/system_tests/unsup-align/weights b/tests/system_tests/unsup-align/weights new file mode 100644 index 00000000..7d9012c5 --- /dev/null +++ b/tests/system_tests/unsup-align/weights @@ -0,0 +1,19 @@ +RelativeSentencePosition -0.1 +MarkovJump -0.2 +F1000001 0.45280036748928199 +F1000002 -0.30603801277140658 +F1000003 0.0087200168696079348 +F1000004 0.25201383750998718 +F1000005 0 +F1000006 0 +F1000007 0.0087200038242073886 +F1000008 0.25201333505199081 +F1000009 0.7127956550520711 +F1000010 -0.4803381673023227 +F1000011 -0.42444387021307117 +F1000012 -0.42444295555037082 +F1000013 0 +F1000014 0 +F1000015 0.67364292245615709 +F1000016 -0.38087265233441997 +F1000017 -0.34457059973906817 diff --git a/tests/tools/compare-statistics.pl b/tests/tools/compare-statistics.pl new file mode 100755 index 00000000..3122c534 --- /dev/null +++ b/tests/tools/compare-statistics.pl @@ -0,0 +1,49 @@ +#!/usr/bin/perl -w +use strict; + +die "Usage: $0 gold.statistics < test.statistics\n" unless scalar @ARGV == 1; + +my $gold_file = shift @ARGV; +open G, "<$gold_file" or die "Can't read $gold_file: $!"; +my @gold_keys = (); +my @gold_vals = (); +while() { + chomp; + if (/^([^ ]+)\s*(.*)$/) { + push @gold_keys, $1; + push @gold_vals, $2; + } else { + die "Unexpected line in $gold_file: $_\n"; + } +} + +my $sc = 0; +my $MATCH = 0; +my $MISMATCH = 0; +while(<>) { + my $gold_key = $gold_keys[$sc]; + my $gold_val = $gold_vals[$sc]; + $sc++; + if (/^([^ ]+)\s*(.*)$/) { + my $test_key = $1; + my $test_val = $2; + if ($test_key ne $gold_key) { + die "Missing key in output! Expected '$gold_key' but got '$test_key'\n"; + } + if ($gold_val ne 'IGNORE') { + if ($gold_val eq $test_val) { $MATCH++; } else { + $MISMATCH++; + print STDERR "[VALUE FAILURE] key: '$gold_key'\n expected value: '$gold_val'\n actual value: '$test_val'\n"; + } + } + } else { + die "Unexpected line in test data: $_\n"; + } +} + +my $TOT = $MISMATCH + $MATCH; + +print "$MATCH $TOT\n"; + +if ($MISMATCH > 0) { exit 1; } else { exit 0; } + diff --git a/tests/tools/filter-stderr.pl b/tests/tools/filter-stderr.pl new file mode 100755 index 00000000..29a97298 --- /dev/null +++ b/tests/tools/filter-stderr.pl @@ -0,0 +1,30 @@ +#!/usr/bin/perl -w +use strict; + +my $REAL = '(\+|-)?[1-9][0-9]*(\.[0-9]*)?|(\+|-)?[1-9]\.[0-9]*e(\+|-)?[0-9]+'; + +while(<>) { +if (/-LM forest\s+\(nodes\/edges\): (\d+)\/(\d+)/) { print "-lm_nodes $1\n-lm_edges $2\n"; } +if (/-LM forest\s+\(paths\): (.+)$/) { print "-lm_paths $1\n"; } +# -LM Viterbi: -12.7893 +if (/-LM\s+Viterbi:\s+($REAL)/) { + print "-lm_viterbi $1\n"; +} elsif (/-LM\s+Viterbi:\s+(.+)$/) { + # -LM Viterbi: australia is have diplomatic relations with north korea one of the few countries . + print "-lm_trans $1\n"; +} +#Constr. forest (nodes/edges): 111/305 +#Constr. forest (paths): 9899 +if (/Constr\. forest\s+\(nodes\/edges\): (\d+)\/(\d+)/) { print "constr_nodes $1\nconstr_edges $2\n"; } +if (/Constr\. forest\s+\(paths\): (.+)$/) { print "constr_paths $1\n"; } + +if (/\+LM forest\s+\(nodes\/edges\): (\d+)\/(\d+)/) { print "+lm_nodes $1\n+lm_edges $2\n"; } +if (/\+LM forest\s+\(paths\): (.+)$/) { print "+lm_paths $1\n"; } +if (/\+LM\s+Viterbi:\s+($REAL)/) { + print "+lm_viterbi $1\n"; +} elsif (/\+LM\s+Viterbi:\s+(.+)$/) { + # -LM Viterbi: australia is have diplomatic relations with north korea one of the few countries . + print "+lm_trans $1\n"; +} + +} diff --git a/training/Makefile.am b/training/Makefile.am new file mode 100644 index 00000000..490de774 --- /dev/null +++ b/training/Makefile.am @@ -0,0 +1,50 @@ +bin_PROGRAMS = \ + model1 \ + mr_em_map_adapter \ + mr_em_adapted_reduce \ + mr_reduce_to_weights \ + mr_optimize_reduce \ + grammar_convert \ + atools \ + plftools \ + collapse_weights + +noinst_PROGRAMS = \ + lbfgs_test \ + optimize_test + +atools_SOURCES = atools.cc +atools_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +model1_SOURCES = model1.cc +model1_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +grammar_convert_SOURCES = grammar_convert.cc +grammar_convert_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +optimize_test_SOURCES = optimize_test.cc optimize.cc +optimize_test_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +collapse_weights_SOURCES = collapse_weights.cc +collapse_weights_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +lbfgs_test_SOURCES = lbfgs_test.cc +lbfgs_test_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +mr_optimize_reduce_SOURCES = mr_optimize_reduce.cc optimize.cc +mr_optimize_reduce_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +mr_em_map_adapter_SOURCES = mr_em_map_adapter.cc +mr_em_map_adapter_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +mr_reduce_to_weights_SOURCES = mr_reduce_to_weights.cc +mr_reduce_to_weights_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +mr_em_adapted_reduce_SOURCES = mr_em_adapted_reduce.cc +mr_em_adapted_reduce_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +plftools_SOURCES = plftools.cc +plftools_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +AM_CPPFLAGS = -W -Wall -Wno-sign-compare $(GTEST_CPPFLAGS) -I$(top_srcdir)/decoder + diff --git a/training/atools.cc b/training/atools.cc new file mode 100644 index 00000000..af62804d --- /dev/null +++ b/training/atools.cc @@ -0,0 +1,369 @@ +#include +#include +#include + +#include +#include +#include +#include + +#include "filelib.h" +#include "aligner.h" + +namespace po = boost::program_options; +using namespace std; +using boost::shared_ptr; + +struct Command { + virtual ~Command() {} + virtual string Name() const = 0; + + // returns 1 for alignment grid output [default] + // returns 2 if Summary() should be called [for AER, etc] + virtual int Result() const { return 1; } + + virtual bool RequiresTwoOperands() const { return true; } + virtual void Apply(const Array2D& a, const Array2D& b, Array2D* x) = 0; + void EnsureSize(const Array2D& a, const Array2D& b, Array2D* x) { + x->resize(max(a.width(), b.width()), max(a.height(), b.width())); + } + static bool Safe(const Array2D& a, int i, int j) { + if (i >= 0 && j >= 0 && i < a.width() && j < a.height()) + return a(i,j); + else + return false; + } + virtual void Summary() { assert(!"Summary should have been overridden"); } +}; + +// compute fmeasure, second alignment is reference, first is hyp +struct FMeasureCommand : public Command { + FMeasureCommand() : matches(), num_predicted(), num_in_ref() {} + int Result() const { return 2; } + string Name() const { return "fmeasure"; } + bool RequiresTwoOperands() const { return true; } + void Apply(const Array2D& hyp, const Array2D& ref, Array2D* x) { + (void) x; // AER just computes statistics, not an alignment + int i_len = ref.width(); + int j_len = ref.height(); + for (int i = 0; i < i_len; ++i) { + for (int j = 0; j < j_len; ++j) { + if (ref(i,j)) { + ++num_in_ref; + if (Safe(hyp, i, j)) ++matches; + } + } + } + for (int i = 0; i < hyp.width(); ++i) + for (int j = 0; j < hyp.height(); ++j) + if (hyp(i,j)) ++num_predicted; + } + void Summary() { + if (num_predicted == 0 || num_in_ref == 0) { + cerr << "Insufficient statistics to compute f-measure!\n"; + abort(); + } + const double prec = static_cast(matches) / num_predicted; + const double rec = static_cast(matches) / num_in_ref; + cout << "P: " << prec << endl; + cout << "R: " << rec << endl; + const double f = (2.0 * prec * rec) / (rec + prec); + cout << "F: " << f << endl; + } + int matches; + int num_predicted; + int num_in_ref; +}; + +struct DisplayCommand : public Command { + string Name() const { return "display"; } + bool RequiresTwoOperands() const { return false; } + void Apply(const Array2D& in, const Array2D¬_used, Array2D* x) { + *x = in; + cout << *x << endl; + } +}; + +struct ConvertCommand : public Command { + string Name() const { return "convert"; } + bool RequiresTwoOperands() const { return false; } + void Apply(const Array2D& in, const Array2D¬_used, Array2D* x) { + *x = in; + } +}; + +struct InvertCommand : public Command { + string Name() const { return "invert"; } + bool RequiresTwoOperands() const { return false; } + void Apply(const Array2D& in, const Array2D¬_used, Array2D* x) { + Array2D& res = *x; + res.resize(in.height(), in.width()); + for (int i = 0; i < in.height(); ++i) + for (int j = 0; j < in.width(); ++j) + res(i, j) = in(j, i); + } +}; + +struct IntersectCommand : public Command { + string Name() const { return "intersect"; } + bool RequiresTwoOperands() const { return true; } + void Apply(const Array2D& a, const Array2D& b, Array2D* x) { + EnsureSize(a, b, x); + Array2D& res = *x; + for (int i = 0; i < a.width(); ++i) + for (int j = 0; j < a.height(); ++j) + res(i, j) = Safe(a, i, j) && Safe(b, i, j); + } +}; + +struct UnionCommand : public Command { + string Name() const { return "union"; } + bool RequiresTwoOperands() const { return true; } + void Apply(const Array2D& a, const Array2D& b, Array2D* x) { + EnsureSize(a, b, x); + Array2D& res = *x; + for (int i = 0; i < res.width(); ++i) + for (int j = 0; j < res.height(); ++j) + res(i, j) = Safe(a, i, j) || Safe(b, i, j); + } +}; + +struct RefineCommand : public Command { + RefineCommand() { + neighbors_.push_back(make_pair(1,0)); + neighbors_.push_back(make_pair(-1,0)); + neighbors_.push_back(make_pair(0,1)); + neighbors_.push_back(make_pair(0,-1)); + } + bool RequiresTwoOperands() const { return true; } + + void Align(int i, int j) { + res_(i, j) = true; + is_i_aligned_[i] = true; + is_j_aligned_[j] = true; + } + + bool IsNeighborAligned(int i, int j) const { + for (int k = 0; k < neighbors_.size(); ++k) { + const int di = neighbors_[k].first; + const int dj = neighbors_[k].second; + if (Safe(res_, i + di, j + dj)) + return true; + } + return false; + } + + bool IsNeitherAligned(int i, int j) const { + return !(is_i_aligned_[i] || is_j_aligned_[j]); + } + + bool IsOneOrBothUnaligned(int i, int j) const { + return !(is_i_aligned_[i] && is_j_aligned_[j]); + } + + bool KoehnAligned(int i, int j) const { + return IsOneOrBothUnaligned(i, j) && IsNeighborAligned(i, j); + } + + typedef bool (RefineCommand::*Predicate)(int i, int j) const; + + protected: + void InitRefine( + const Array2D& a, + const Array2D& b) { + res_.clear(); + EnsureSize(a, b, &res_); + in_.clear(); un_.clear(); is_i_aligned_.clear(); is_j_aligned_.clear(); + EnsureSize(a, b, &in_); + EnsureSize(a, b, &un_); + is_i_aligned_.resize(res_.width(), false); + is_j_aligned_.resize(res_.height(), false); + for (int i = 0; i < in_.width(); ++i) + for (int j = 0; j < in_.height(); ++j) { + un_(i, j) = Safe(a, i, j) || Safe(b, i, j); + in_(i, j) = Safe(a, i, j) && Safe(b, i, j); + if (in_(i, j)) Align(i, j); + } + } + // "grow" the resulting alignment using the points in adds + // if they match the constraints determined by pred + void Grow(Predicate pred, bool idempotent, const Array2D& adds) { + if (idempotent) { + for (int i = 0; i < adds.width(); ++i) + for (int j = 0; j < adds.height(); ++j) { + if (adds(i, j) && !res_(i, j) && + (this->*pred)(i, j)) Align(i, j); + } + return; + } + set > p; + for (int i = 0; i < adds.width(); ++i) + for (int j = 0; j < adds.height(); ++j) + if (adds(i, j) && !res_(i, j)) + p.insert(make_pair(i, j)); + bool keep_going = !p.empty(); + while (keep_going) { + keep_going = false; + for (set >::iterator pi = p.begin(); + pi != p.end(); ++pi) { + if ((this->*pred)(pi->first, pi->second)) { + Align(pi->first, pi->second); + p.erase(pi); + keep_going = true; + } + } + } + } + Array2D res_; // refined alignment + Array2D in_; // intersection alignment + Array2D un_; // union alignment + vector is_i_aligned_; + vector is_j_aligned_; + vector > neighbors_; +}; + +struct DiagCommand : public RefineCommand { + DiagCommand() { + neighbors_.push_back(make_pair(1,1)); + neighbors_.push_back(make_pair(-1,1)); + neighbors_.push_back(make_pair(1,-1)); + neighbors_.push_back(make_pair(-1,-1)); + } +}; + +struct GDCommand : public DiagCommand { + string Name() const { return "grow-diag"; } + void Apply(const Array2D& a, const Array2D& b, Array2D* x) { + InitRefine(a, b); + Grow(&RefineCommand::KoehnAligned, false, un_); + *x = res_; + } +}; + +struct GDFCommand : public DiagCommand { + string Name() const { return "grow-diag-final"; } + void Apply(const Array2D& a, const Array2D& b, Array2D* x) { + InitRefine(a, b); + Grow(&RefineCommand::KoehnAligned, false, un_); + Grow(&RefineCommand::IsOneOrBothUnaligned, true, a); + Grow(&RefineCommand::IsOneOrBothUnaligned, true, b); + *x = res_; + } +}; + +struct GDFACommand : public DiagCommand { + string Name() const { return "grow-diag-final-and"; } + void Apply(const Array2D& a, const Array2D& b, Array2D* x) { + InitRefine(a, b); + Grow(&RefineCommand::KoehnAligned, false, un_); + Grow(&RefineCommand::IsNeitherAligned, true, a); + Grow(&RefineCommand::IsNeitherAligned, true, b); + *x = res_; + } +}; + +map > commands; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + ostringstream os; + os << "[REQ] Operation to perform:"; + for (map >::iterator it = commands.begin(); + it != commands.end(); ++it) { + os << ' ' << it->first; + } + string cstr = os.str(); + opts.add_options() + ("input_1,i", po::value(), "[REQ] Alignment 1 file, - for STDIN") + ("input_2,j", po::value(), "[OPT] Alignment 2 file, - for STDIN") + ("command,c", po::value()->default_value("convert"), cstr.c_str()) + ("help,h", "Print this help message and exit"); + po::options_description clo("Command line options"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + po::notify(*conf); + + if (conf->count("help") || conf->count("input_1") == 0 || conf->count("command") == 0) { + cerr << dcmdline_options << endl; + exit(1); + } + const string cmd = (*conf)["command"].as(); + if (commands.count(cmd) == 0) { + cerr << "Don't understand command: " << cmd << endl; + exit(1); + } + if (commands[cmd]->RequiresTwoOperands()) { + if (conf->count("input_2") == 0) { + cerr << "Command '" << cmd << "' requires two alignment files\n"; + exit(1); + } + if ((*conf)["input_1"].as() == "-" && (*conf)["input_2"].as() == "-") { + cerr << "Both inputs cannot be STDIN\n"; + exit(1); + } + } else { + if (conf->count("input_2") != 0) { + cerr << "Command '" << cmd << "' requires only one alignment file\n"; + exit(1); + } + } +} + +template static void AddCommand() { + C* c = new C; + commands[c->Name()].reset(c); +} + +int main(int argc, char **argv) { + AddCommand(); + AddCommand(); + AddCommand(); + AddCommand(); + AddCommand(); + AddCommand(); + AddCommand(); + AddCommand(); + AddCommand(); + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + Command& cmd = *commands[conf["command"].as()]; + boost::shared_ptr rf1(new ReadFile(conf["input_1"].as())); + boost::shared_ptr rf2; + if (cmd.RequiresTwoOperands()) + rf2.reset(new ReadFile(conf["input_2"].as())); + istream* in1 = rf1->stream(); + istream* in2 = NULL; + if (rf2) in2 = rf2->stream(); + while(*in1) { + string line1; + string line2; + getline(*in1, line1); + if (in2) { + getline(*in2, line2); + if ((*in1 && !*in2) || (*in2 && !*in1)) { + cerr << "Mismatched number of lines!\n"; + exit(1); + } + } + if (line1.empty() && !*in1) break; + shared_ptr > out(new Array2D); + shared_ptr > a1 = AlignerTools::ReadPharaohAlignmentGrid(line1); + if (in2) { + shared_ptr > a2 = AlignerTools::ReadPharaohAlignmentGrid(line2); + cmd.Apply(*a1, *a2, out.get()); + } else { + Array2D dummy; + cmd.Apply(*a1, dummy, out.get()); + } + + if (cmd.Result() == 1) { + AlignerTools::SerializePharaohFormat(*out, &cout); + } + } + if (cmd.Result() == 2) + cmd.Summary(); + return 0; +} + diff --git a/training/cluster-em.pl b/training/cluster-em.pl new file mode 100755 index 00000000..267ab642 --- /dev/null +++ b/training/cluster-em.pl @@ -0,0 +1,114 @@ +#!/usr/bin/perl -w + +use strict; +my $SCRIPT_DIR; BEGIN { use Cwd qw/ abs_path /; use File::Basename; $SCRIPT_DIR = dirname(abs_path($0)); push @INC, $SCRIPT_DIR; } +use Getopt::Long; +my $parallel = 0; + +my $CWD=`pwd`; chomp $CWD; +my $BIN_DIR = "$CWD/.."; +my $REDUCER = "$BIN_DIR/training/mr_em_adapted_reduce"; +my $REDUCE2WEIGHTS = "$BIN_DIR/training/mr_reduce_to_weights"; +my $ADAPTER = "$BIN_DIR/training/mr_em_map_adapter"; +my $DECODER = "$BIN_DIR/decoder/cdec"; +my $COMBINER_CACHE_SIZE = 10000000; +my $PARALLEL = "/chomes/redpony/svn-trunk/sa-utils/parallelize.pl"; +die "Can't find $REDUCER" unless -f $REDUCER; +die "Can't execute $REDUCER" unless -x $REDUCER; +die "Can't find $REDUCE2WEIGHTS" unless -f $REDUCE2WEIGHTS; +die "Can't execute $REDUCE2WEIGHTS" unless -x $REDUCE2WEIGHTS; +die "Can't find $ADAPTER" unless -f $ADAPTER; +die "Can't execute $ADAPTER" unless -x $ADAPTER; +die "Can't find $DECODER" unless -f $DECODER; +die "Can't execute $DECODER" unless -x $DECODER; +my $restart = ''; +if ($ARGV[0] && $ARGV[0] eq '--restart') { shift @ARGV; $restart = 1; } + +die "Usage: $0 [--restart] training.corpus cdec.ini\n" unless (scalar @ARGV == 2); + +my $training_corpus = shift @ARGV; +my $config = shift @ARGV; +my $pmem="2500mb"; +my $nodes = 40; +my $max_iteration = 1000; +my $CFLAG = "-C 1"; +if ($parallel) { + die "Can't find $PARALLEL" unless -f $PARALLEL; + die "Can't execute $PARALLEL" unless -x $PARALLEL; +} else { $CFLAG = "-C 500"; } + +my $initial_weights = ''; + +print STDERR < \$DECODER, + "distributed" => \$DISTRIBUTED, + "sigma_squared=f" => \$sigsq, + "lbfgs_memory_buffers=i" => \$mem_buffers, + "max_iteration=i" => \$max_iteration, + "means=s" => \$means_file, + "optimizer=s" => \$OALG, + "gaussian_prior" => \$PRIOR, + "restart_if_necessary" => \$RESTART_IF_NECESSARY, + "jobs=i" => \$nodes, + "pmem=s" => \$pmem + ) or usage(); +usage() unless scalar @ARGV==3; +my $config_file = shift @ARGV; +my $training_corpus = shift @ARGV; +my $initial_weights = shift @ARGV; +unless ($DISTRIBUTED) { $LOCAL = 1; } +die "Can't find $config_file" unless -f $config_file; +die "Can't find $DECODER" unless -f $DECODER; +die "Can't execute $DECODER" unless -x $DECODER; +if ($LOCAL) { print STDERR "Will run LOCALLY.\n"; $parallel = 0; } +if ($PRIOR) { + $PRIOR_FLAG="-p --sigma_squared $sigsq"; + if ($means_file) { $PRIOR_FLAG .= " -u $means_file"; } +} + +if ($parallel) { + die "Can't find $PARALLEL" unless -f $PARALLEL; + die "Can't execute $PARALLEL" unless -x $PARALLEL; +} +unless ($parallel) { $CFLAG = "-C 500"; } +unless ($config_file =~ /^\//) { $config_file = $CWD . '/' . $config_file; } +my $clines = num_lines($training_corpus); +my $dir = "$CWD/ptrain"; + +if ($RESTART_IF_NECESSARY && -d $dir) { + $restart = 1; +} + +print STDERR <$dir/training.in"; + my $lc = 0; + while() { + chomp; + s/^\s+//; + s/\s+$//; + die "Expected A ||| B in input file" unless / \|\|\| /; + print TO "$_\n"; + $lc++; + } + close T; + close TO; +} +$training_corpus = "$dir/training.in"; + +my $iter_attempts = 1; +while ($iter < $max_iteration) { + my $cur_time = `date`; chomp $cur_time; + print STDERR "\nStarting iteration $iter...\n"; + print STDERR " time: $cur_time\n"; + my $start = time; + my $next_iter = $iter + 1; + my $dec_cmd="$DECODER -G $CFLAG -c $config_file -w $dir/weights.$iter.gz < $training_corpus 2> $dir/deco.log.$iter"; + my $opt_cmd = "$OPTIMIZER $PRIOR_FLAG -M $mem_buffers $OALG -s $dir/opt.state -i $dir/weights.$iter.gz -o $dir/weights.$next_iter.gz"; + my $pcmd = "$PARALLEL -e $dir/err -p $pmem --nodelist \"$nodelist\" -- "; + my $cmd = ""; + if ($parallel) { $cmd = $pcmd; } + $cmd .= "$dec_cmd | $opt_cmd"; + + print STDERR "EXECUTING: $cmd\n"; + my $result = `$cmd`; + my $exit_code = $? >> 8; + if ($exit_code == 99) { + $iter_attempts++; + if ($iter_attempts > $MAX_ITER_ATTEMPTS) { + die "Received restart request $iter_attempts times from optimizer, giving up\n"; + } + print STDERR "Function evaluation failed, retrying (attempt $iter_attempts)\n"; + next; + } + if ($? != 0) { + die "Error running iteration $iter: $!"; + } + chomp $result; + my $end = time; + my $diff = ($end - $start); + print STDERR " ITERATION $iter TOOK $diff SECONDS\n"; + $iter = $next_iter; + if ($result =~ /1$/) { + print STDERR "Training converged.\n"; + last; + } + $iter_attempts = 1; +} + +print "FINAL WEIGHTS: $dir/weights.$iter\n"; +`mv $dir/weights.$iter.gz $dir/weights.final.gz`; + +sub usage { + die <) { $lines++; } + close $fh; + return $lines; +} diff --git a/training/collapse_weights.cc b/training/collapse_weights.cc new file mode 100644 index 00000000..5e0f3f72 --- /dev/null +++ b/training/collapse_weights.cc @@ -0,0 +1,102 @@ +#include +#include +#include + +#include +#include +#include + +#include "prob.h" +#include "filelib.h" +#include "trule.h" +#include "weights.h" + +namespace po = boost::program_options; +using namespace std; + +typedef std::tr1::unordered_map, prob_t, boost::hash > > MarginalMap; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("grammar,g", po::value(), "Grammar file") + ("weights,w", po::value(), "Weights file"); + po::options_description clo("Command line options"); + clo.add_options() + ("config,c", po::value(), "Configuration file") + ("help,h", "Print this help message and exit"); + po::options_description dconfig_options, dcmdline_options; + dconfig_options.add(opts); + dcmdline_options.add(opts).add(clo); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + if (conf->count("config")) { + const string cfg = (*conf)["config"].as(); + cerr << "Configuration file: " << cfg << endl; + ifstream config(cfg.c_str()); + po::store(po::parse_config_file(config, dconfig_options), *conf); + } + po::notify(*conf); + + if (conf->count("help") || !conf->count("grammar") || !conf->count("weights")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + const string wfile = conf["weights"].as(); + const string gfile = conf["grammar"].as(); + Weights wm; + wm.InitFromFile(wfile); + vector w; + wm.InitVector(&w); + MarginalMap e_tots; + MarginalMap f_tots; + prob_t tot; + { + ReadFile rf(gfile); + assert(*rf.stream()); + istream& in = *rf.stream(); + cerr << "Computing marginals...\n"; + int lc = 0; + while(in) { + string line; + getline(in, line); + ++lc; + if (line.empty()) continue; + TRule tr(line, true); + if (tr.GetFeatureValues().empty()) + cerr << "Line " << lc << ": empty features - may introduce bias\n"; + prob_t prob; + prob.logeq(tr.GetFeatureValues().dot(w)); + e_tots[tr.e_] += prob; + f_tots[tr.f_] += prob; + tot += prob; + } + } + bool normalized = (fabs(log(tot)) < 0.001); + cerr << "Total: " << tot << (normalized ? " [normalized]" : " [scaled]") << endl; + ReadFile rf(gfile); + istream&in = *rf.stream(); + while(in) { + string line; + getline(in, line); + if (line.empty()) continue; + TRule tr(line, true); + const double lp = tr.GetFeatureValues().dot(w); + if (isinf(lp)) { continue; } + tr.scores_.clear(); + + cout << tr.AsString() << " ||| F_and_E=" << lp - log(tot); + if (!normalized) { + cout << ";ZF_and_E=" << lp; + } + cout << ";F_given_E=" << lp - log(e_tots[tr.e_]) + << ";E_given_F=" << lp - log(f_tots[tr.f_]) << endl; + } + return 0; +} + diff --git a/training/dep-reorder/conll2reordering-forest.pl b/training/dep-reorder/conll2reordering-forest.pl new file mode 100755 index 00000000..3cd226be --- /dev/null +++ b/training/dep-reorder/conll2reordering-forest.pl @@ -0,0 +1,65 @@ +#!/usr/bin/perl -w +use strict; + +my $script_dir; BEGIN { use Cwd qw/ abs_path cwd /; use File::Basename; $script_dir = dirname(abs_path($0)); push @INC, $script_dir; } +my $FIRST_CONV = "$script_dir/scripts/conll2simplecfg.pl"; +my $CDEC = "$script_dir/../../decoder/cdec"; + +our $tfile1 = "grammar1.$$"; +our $tfile2 = "text.$$"; + +die "Usage: $0 parses.conll\n" unless scalar @ARGV == 1; +open C, "<$ARGV[0]" or die "Can't read $ARGV[0]: $!"; + +END { unlink $tfile1; unlink "$tfile1.cfg"; unlink $tfile2; } + +my $first = 1; +open T, ">$tfile1" or die "Can't write $tfile1: $!"; +my $lc = 0; +my $flag = 0; +my @words = (); +while() { + print T; + chomp; + if (/^$/) { + if ($first) { $first = undef; } else { if ($flag) { print "\n"; $flag = 0; } } + $first = undef; + close T; + open SO, ">$tfile2" or die "Can't write $tfile2: $!"; + print SO "@words\n"; + close SO; + @words=(); + `$FIRST_CONV < $tfile1 > $tfile1.cfg`; + if ($? != 0) { + die "Error code: $?"; + } + my $cfg = `$CDEC -n -S 10000 -f scfg -g $tfile1.cfg -i $tfile2 --show_cfg_search_space 2>/dev/null`; + if ($? != 0) { + die "Error code: $?"; + } + my @rules = split /\n/, $cfg; + shift @rules; # get rid of output + for my $rule (@rules) { + my ($lhs, $f, $e, $feats) = split / \|\|\| /, $rule; + $f =~ s/,\d\]/\]/g; + $feats = 'TOP=1' unless $feats; + if ($lhs =~ /\[Goal_\d+\]/) { $lhs = '[S]'; } + print "$lhs ||| $f ||| $feats\n"; + if ($e eq '[1] [2]') { + my ($a, $b) = split /\s+/, $f; + $feats =~ s/=1$//; + my ($x, $y) = split /_/, $feats; + print "$lhs ||| $b $a ||| ${y}_$x=1\n"; + } + $flag = 1; + } + open T, ">$tfile1" or die "Can't write $tfile1: $!"; + $lc = -1; + } else { + my ($ind, $word, @dmmy) = split /\s+/; + push @words, $word; + } + $lc++; +} +close T; + diff --git a/training/dep-reorder/george.conll b/training/dep-reorder/george.conll new file mode 100644 index 00000000..7eebb360 --- /dev/null +++ b/training/dep-reorder/george.conll @@ -0,0 +1,4 @@ +1 George _ GEORGE _ _ 2 X _ _ +2 hates _ HATES _ _ 0 X _ _ +3 broccoli _ BROC _ _ 2 X _ _ + diff --git a/training/dep-reorder/scripts/conll2simplecfg.pl b/training/dep-reorder/scripts/conll2simplecfg.pl new file mode 100755 index 00000000..b101347a --- /dev/null +++ b/training/dep-reorder/scripts/conll2simplecfg.pl @@ -0,0 +1,57 @@ +#!/usr/bin/perl -w +use strict; + +# 1 在 _ 10 _ _ 4 X _ _ +# 2 门厅 _ 3 _ _ 1 X _ _ +# 3 下面 _ 23 _ _ 4 X _ _ +# 4 。 _ 45 _ _ 0 X _ _ + +my @ldeps; +my @rdeps; +@ldeps=(); for (my $i =0; $i <1000; $i++) { push @ldeps, []; } +@rdeps=(); for (my $i =0; $i <1000; $i++) { push @rdeps, []; } +my $rootcat = 0; +my @cats = ('S'); +my $len = 0; +my @noposcats = ('S'); +while(<>) { + chomp; + if (/^\s*$/) { + write_cfg($len); + $len = 0; + @cats=('S'); + @noposcats = ('S'); + @ldeps=(); for (my $i =0; $i <1000; $i++) { push @ldeps, []; } + @rdeps=(); for (my $i =0; $i <1000; $i++) { push @rdeps, []; } + next; + } + $len++; + my ($pos, $word, $d1, $xcat, $d2, $d3, $headpos, $deptype) = split /\s+/; + my $cat = "C$xcat"; + my $catpos = $cat . "_$pos"; + push @cats, $catpos; + push @noposcats, $cat; + print "[$catpos] ||| $word ||| $word ||| Word=1\n"; + if ($headpos == 0) { $rootcat = $pos; } + if ($pos < $headpos) { + push @{$ldeps[$headpos]}, $pos; + } else { + push @{$rdeps[$headpos]}, $pos; + } +} + +sub write_cfg { + my $len = shift; + for (my $i = 1; $i <= $len; $i++) { + my @lds = @{$ldeps[$i]}; + for my $ld (@lds) { + print "[$cats[$i]] ||| [$cats[$ld],1] [$cats[$i],2] ||| [1] [2] ||| $noposcats[$ld]_$noposcats[$i]=1\n"; + } + my @rds = @{$rdeps[$i]}; + for my $rd (@rds) { + print "[$cats[$i]] ||| [$cats[$i],1] [$cats[$rd],2] ||| [1] [2] ||| $noposcats[$i]_$noposcats[$rd]=1\n"; + } + } + print "[S] ||| [$cats[$rootcat],1] ||| [1] ||| TOP=1\n"; +} + diff --git a/training/grammar_convert.cc b/training/grammar_convert.cc new file mode 100644 index 00000000..461ff8e4 --- /dev/null +++ b/training/grammar_convert.cc @@ -0,0 +1,319 @@ +#include +#include +#include + +#include +#include + +#include "tdict.h" +#include "filelib.h" +#include "hg.h" +#include "hg_io.h" +#include "kbest.h" +#include "viterbi.h" +#include "weights.h" + +namespace po = boost::program_options; +using namespace std; + +WordID kSTART; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("input,i", po::value()->default_value("-"), "Input file") + ("format,f", po::value()->default_value("cfg"), "Input format. Values: cfg, json, split") + ("output,o", po::value()->default_value("json"), "Output command. Values: json, 1best") + ("reorder,r", "Add Yamada & Knight (2002) reorderings") + ("weights,w", po::value(), "Feature weights for k-best derivations [optional]") + ("collapse_weights,C", "Collapse order features into a single feature whose value is all of the locally applying feature weights") + ("k_derivations,k", po::value(), "Show k derivations and their features") + ("max_reorder,m", po::value()->default_value(999), "Move a constituent at most this far") + ("help,h", "Print this help message and exit"); + po::options_description clo("Command line options"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + po::notify(*conf); + + if (conf->count("help") || conf->count("input") == 0) { + cerr << "\nUsage: grammar_convert [-options]\n\nConverts a grammar file (in Hiero format) into JSON hypergraph.\n"; + cerr << dcmdline_options << endl; + exit(1); + } +} + +int GetOrCreateNode(const WordID& lhs, map* lhs2node, Hypergraph* hg) { + int& node_id = (*lhs2node)[lhs]; + if (!node_id) + node_id = hg->AddNode(lhs)->id_ + 1; + return node_id - 1; +} + +void FilterAndCheckCorrectness(int goal, Hypergraph* hg) { + if (goal < 0) { + cerr << "Error! [S] not found in grammar!\n"; + exit(1); + } + if (hg->nodes_[goal].in_edges_.size() != 1) { + cerr << "Error! [S] has more than one rewrite!\n"; + exit(1); + } + int old_size = hg->nodes_.size(); + hg->TopologicallySortNodesAndEdges(goal); + if (hg->nodes_.size() != old_size) { + cerr << "Warning! During sorting " << (old_size - hg->nodes_.size()) << " disappeared!\n"; + } +} + +void CreateEdge(const TRulePtr& r, const Hypergraph::TailNodeVector& tail, Hypergraph::Node* head_node, Hypergraph* hg) { + Hypergraph::Edge* new_edge = hg->AddEdge(r, tail); + hg->ConnectEdgeToHeadNode(new_edge, head_node); + new_edge->feature_values_ = r->scores_; +} + +// from a category label like "NP_2", return "NP" +string PureCategory(WordID cat) { + assert(cat < 0); + string c = TD::Convert(cat*-1); + size_t p = c.find("_"); + if (p == string::npos) return c; + return c.substr(0, p); +}; + +string ConstituentOrderFeature(const TRule& rule, const vector& pi) { + const static string kTERM_VAR = "x"; + const vector& f = rule.f(); + map used; + vector terms(f.size()); + for (int i = 0; i < f.size(); ++i) { + const string term = (f[i] < 0 ? PureCategory(f[i]) : kTERM_VAR); + int& count = used[term]; + if (!count) { + terms[i] = term; + } else { + ostringstream os; + os << term << count; + terms[i] = os.str(); + } + ++count; + } + ostringstream os; + os << PureCategory(rule.GetLHS()) << ':'; + for (int i = 0; i < f.size(); ++i) { + if (i > 0) os << '_'; + os << terms[pi[i]]; + } + return os.str(); +} + +bool CheckPermutationMask(const vector& mask, const vector& pi) { + assert(mask.size() == pi.size()); + + int req_min = -1; + int cur_max = 0; + int cur_mask = -1; + for (int i = 0; i < mask.size(); ++i) { + if (mask[i] != cur_mask) { + cur_mask = mask[i]; + req_min = cur_max - 1; + } + if (pi[i] > req_min) { + if (pi[i] > cur_max) cur_max = pi[i]; + } else { + return false; + } + } + + return true; +} + +void PermuteYKRecursive(int nodeid, const WordID& parent, const int max_reorder, Hypergraph* hg) { + // Hypergraph tmp = *hg; + Hypergraph::Node* node = &hg->nodes_[nodeid]; + if (node->in_edges_.size() != 1) { + cerr << "Multiple rewrites of [" << TD::Convert(node->cat_ * -1) << "] (parent is [" << TD::Convert(parent*-1) << "])\n"; + cerr << " not recursing!\n"; + return; + } +// for (int eii = 0; eii < node->in_edges_.size(); ++eii) { + const int oe_index = node->in_edges_.front(); + const TRule& rule = *hg->edges_[oe_index].rule_; + const Hypergraph::TailNodeVector orig_tail = hg->edges_[oe_index].tail_nodes_; + const int tail_size = orig_tail.size(); + for (int i = 0; i < tail_size; ++i) { + PermuteYKRecursive(hg->edges_[oe_index].tail_nodes_[i], node->cat_, max_reorder, hg); + } + const vector& of = rule.f_; + if (of.size() == 1) return; + // cerr << "Permuting [" << TD::Convert(node->cat_ * -1) << "]\n"; + // cerr << "ORIG: " << rule.AsString() << endl; + vector pi(of.size(), 0); + for (int i = 0; i < pi.size(); ++i) pi[i] = i; + + vector permutation_mask(of.size(), 0); + const bool dont_reorder_across_PU = true; // TODO add configuration + if (dont_reorder_across_PU) { + int cur = 0; + for (int i = 0; i < pi.size(); ++i) { + if (of[i] >= 0) continue; + const string cat = PureCategory(of[i]); + if (cat == "PU" || cat == "PU!H" || cat == "PUNC" || cat == "PUNC!H" || cat == "CC") { + ++cur; + permutation_mask[i] = cur; + ++cur; + } else { + permutation_mask[i] = cur; + } + } + } + int fid = FD::Convert(ConstituentOrderFeature(rule, pi)); + hg->edges_[oe_index].feature_values_.set_value(fid, 1.0); + while (next_permutation(pi.begin(), pi.end())) { + if (!CheckPermutationMask(permutation_mask, pi)) + continue; + vector nf(pi.size(), 0); + Hypergraph::TailNodeVector tail(pi.size(), 0); + bool skip = false; + for (int i = 0; i < pi.size(); ++i) { + int dist = pi[i] - i; if (dist < 0) dist *= -1; + if (dist > max_reorder) { skip = true; break; } + nf[i] = of[pi[i]]; + tail[i] = orig_tail[pi[i]]; + } + if (skip) continue; + TRulePtr nr(new TRule(rule)); + nr->f_ = nf; + int fid = FD::Convert(ConstituentOrderFeature(rule, pi)); + nr->scores_.set_value(fid, 1.0); + // cerr << "PERM: " << nr->AsString() << endl; + CreateEdge(nr, tail, node, hg); + } + // } +} + +void PermuteYamadaAndKnight(Hypergraph* hg, int max_reorder) { + assert(hg->nodes_.back().cat_ == kSTART); + assert(hg->nodes_.back().in_edges_.size() == 1); + PermuteYKRecursive(hg->nodes_.size() - 1, kSTART, max_reorder, hg); +} + +void CollapseWeights(Hypergraph* hg) { + int fid = FD::Convert("Reordering"); + for (int i = 0; i < hg->edges_.size(); ++i) { + Hypergraph::Edge& edge = hg->edges_[i]; + edge.feature_values_.clear(); + if (edge.edge_prob_ != prob_t::Zero()) { + edge.feature_values_.set_value(fid, log(edge.edge_prob_)); + } + } +} + +void ProcessHypergraph(const vector& w, const po::variables_map& conf, const string& ref, Hypergraph* hg) { + if (conf.count("reorder")) + PermuteYamadaAndKnight(hg, conf["max_reorder"].as()); + if (w.size() > 0) { hg->Reweight(w); } + if (conf.count("collapse_weights")) CollapseWeights(hg); + if (conf["output"].as() == "json") { + HypergraphIO::WriteToJSON(*hg, false, &cout); + if (!ref.empty()) { cerr << "REF: " << ref << endl; } + } else { + vector onebest; + ViterbiESentence(*hg, &onebest); + if (ref.empty()) { + cout << TD::GetString(onebest) << endl; + } else { + cout << TD::GetString(onebest) << " ||| " << ref << endl; + } + } + if (conf.count("k_derivations")) { + const int k = conf["k_derivations"].as(); + KBest::KBestDerivations, ESentenceTraversal> kbest(*hg, k); + for (int i = 0; i < k; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest.LazyKthBest(hg->nodes_.size() - 1, i); + if (!d) break; + cerr << log(d->score) << " ||| " << TD::GetString(d->yield) << " ||| " << d->feature_values << endl; + } + } +} + +int main(int argc, char **argv) { + kSTART = TD::Convert("S") * -1; + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + string infile = conf["input"].as(); + const bool is_split_input = (conf["format"].as() == "split"); + const bool is_json_input = is_split_input || (conf["format"].as() == "json"); + const bool collapse_weights = conf.count("collapse_weights"); + Weights wts; + vector w; + if (conf.count("weights")) { + wts.InitFromFile(conf["weights"].as()); + wts.InitVector(&w); + } + if (collapse_weights && !w.size()) { + cerr << "--collapse_weights requires a weights file to be specified!\n"; + exit(1); + } + ReadFile rf(infile); + istream* in = rf.stream(); + assert(*in); + int lc = 0; + Hypergraph hg; + map lhs2node; + while(*in) { + string line; + ++lc; + getline(*in, line); + if (is_json_input) { + if (line.empty() || line[0] == '#') continue; + string ref; + if (is_split_input) { + size_t pos = line.rfind("}}"); + assert(pos != string::npos); + size_t rstart = line.find("||| ", pos); + assert(rstart != string::npos); + ref = line.substr(rstart + 4); + line = line.substr(0, pos + 2); + } + istringstream is(line); + if (HypergraphIO::ReadFromJSON(&is, &hg)) { + ProcessHypergraph(w, conf, ref, &hg); + hg.clear(); + } else { + cerr << "Error reading grammar from JSON: line " << lc << endl; + exit(1); + } + } else { + if (line.empty()) { + int goal = lhs2node[kSTART] - 1; + FilterAndCheckCorrectness(goal, &hg); + ProcessHypergraph(w, conf, "", &hg); + hg.clear(); + lhs2node.clear(); + continue; + } + if (line[0] == '#') continue; + if (line[0] != '[') { + cerr << "Line " << lc << ": bad format\n"; + exit(1); + } + TRulePtr tr(TRule::CreateRuleMonolingual(line)); + Hypergraph::TailNodeVector tail; + for (int i = 0; i < tr->f_.size(); ++i) { + WordID var_cat = tr->f_[i]; + if (var_cat < 0) + tail.push_back(GetOrCreateNode(var_cat, &lhs2node, &hg)); + } + const WordID lhs = tr->GetLHS(); + int head = GetOrCreateNode(lhs, &lhs2node, &hg); + Hypergraph::Edge* edge = hg.AddEdge(tr, tail); + edge->feature_values_ = tr->scores_; + Hypergraph::Node* node = &hg.nodes_[head]; + hg.ConnectEdgeToHeadNode(edge, node); + } + } +} + diff --git a/training/lbfgs.h b/training/lbfgs.h new file mode 100644 index 00000000..e8baecab --- /dev/null +++ b/training/lbfgs.h @@ -0,0 +1,1459 @@ +#ifndef SCITBX_LBFGS_H +#define SCITBX_LBFGS_H + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +namespace scitbx { + +//! Limited-memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) %minimizer. +/*! Implementation of the + Limited-memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) + algorithm for large-scale multidimensional minimization + problems. + + This code was manually derived from Java code which was + in turn derived from the Fortran program + lbfgs.f. The Java translation was + effected mostly mechanically, with some manual + clean-up; in particular, array indices start at 0 + instead of 1. Most of the comments from the Fortran + code have been pasted in. + + Information on the original LBFGS Fortran source code is + available at + http://www.netlib.org/opt/lbfgs_um.shar . The following + information is taken verbatim from the Netlib documentation + for the Fortran source. + + 
+    file    opt/lbfgs_um.shar
+    for     unconstrained optimization problems
+    alg     limited memory BFGS method
+    by      J. Nocedal
+    contact nocedal@eecs.nwu.edu
+    ref     D. C. Liu and J. Nocedal, ``On the limited memory BFGS method for
+    ,       large scale optimization methods'' Mathematical Programming 45
+    ,       (1989), pp. 503-528.
+    ,       (Postscript file of this paper is available via anonymous ftp
+    ,       to eecs.nwu.edu in the directory pub/%lbfgs/lbfgs_um.)
+
+ + @author Jorge Nocedal: original Fortran version, including comments + (July 1990).
+ Robert Dodier: Java translation, August 1997.
+ Ralf W. Grosse-Kunstleve: C++ port, March 2002.
+ Chris Dyer: serialize/deserialize functionality + */ +namespace lbfgs { + + //! Generic exception class for %lbfgs %error messages. + /*! All exceptions thrown by the minimizer are derived from this class. + */ + class error : public std::exception { + public: + //! Constructor. + error(std::string const& msg) throw() + : msg_("lbfgs error: " + msg) + {} + //! Access to error message. + virtual const char* what() const throw() { return msg_.c_str(); } + protected: + virtual ~error() throw() {} + std::string msg_; + public: + static std::string itoa(unsigned long i) { + std::ostringstream os; + os << i; + return os.str(); + } + }; + + //! Specific exception class. + class error_internal_error : public error { + public: + //! Constructor. + error_internal_error(const char* file, unsigned long line) throw() + : error( + "Internal Error: " + std::string(file) + "(" + itoa(line) + ")") + {} + }; + + //! Specific exception class. + class error_improper_input_parameter : public error { + public: + //! Constructor. + error_improper_input_parameter(std::string const& msg) throw() + : error("Improper input parameter: " + msg) + {} + }; + + //! Specific exception class. + class error_improper_input_data : public error { + public: + //! Constructor. + error_improper_input_data(std::string const& msg) throw() + : error("Improper input data: " + msg) + {} + }; + + //! Specific exception class. + class error_search_direction_not_descent : public error { + public: + //! Constructor. + error_search_direction_not_descent() throw() + : error("The search direction is not a descent direction.") + {} + }; + + //! Specific exception class. + class error_line_search_failed : public error { + public: + //! Constructor. + error_line_search_failed(std::string const& msg) throw() + : error("Line search failed: " + msg) + {} + }; + + //! Specific exception class. + class error_line_search_failed_rounding_errors + : public error_line_search_failed { + public: + //! Constructor. + error_line_search_failed_rounding_errors(std::string const& msg) throw() + : error_line_search_failed(msg) + {} + }; + + namespace detail { + + template + inline + NumType + pow2(NumType const& x) { return x * x; } + + template + inline + NumType + abs(NumType const& x) { + if (x < NumType(0)) return -x; + return x; + } + + // This class implements an algorithm for multi-dimensional line search. + template + class mcsrch + { + protected: + int infoc; + FloatType dginit; + bool brackt; + bool stage1; + FloatType finit; + FloatType dgtest; + FloatType width; + FloatType width1; + FloatType stx; + FloatType fx; + FloatType dgx; + FloatType sty; + FloatType fy; + FloatType dgy; + FloatType stmin; + FloatType stmax; + + static FloatType const& max3( + FloatType const& x, + FloatType const& y, + FloatType const& z) + { + return x < y ? (y < z ? z : y ) : (x < z ? z : x ); + } + + public: + /* Minimize a function along a search direction. This code is + a Java translation of the function MCSRCH from + lbfgs.f, which in turn is a slight modification + of the subroutine CSRCH of More' and Thuente. + The changes are to allow reverse communication, and do not + affect the performance of the routine. This function, in turn, + calls mcstep.

+ + The Java translation was effected mostly mechanically, with + some manual clean-up; in particular, array indices start at 0 + instead of 1. Most of the comments from the Fortran code have + been pasted in here as well.

+ + The purpose of mcsrch is to find a step which + satisfies a sufficient decrease condition and a curvature + condition.

+ + At each stage this function updates an interval of uncertainty + with endpoints stx and sty. The + interval of uncertainty is initially chosen so that it + contains a minimizer of the modified function + 

+                f(x+stp*s) - f(x) - ftol*stp*(gradf(x)'s).
+
+ If a step is obtained for which the modified function has a + nonpositive function value and nonnegative derivative, then + the interval of uncertainty is chosen so that it contains a + minimizer of f(x+stp*s).

+ + The algorithm is designed to find a step which satisfies + the sufficient decrease condition + 

+                 f(x+stp*s) <= f(X) + ftol*stp*(gradf(x)'s),
+
+ and the curvature condition + 
+                 abs(gradf(x+stp*s)'s)) <= gtol*abs(gradf(x)'s).
+
+ If ftol is less than gtol and if, + for example, the function is bounded below, then there is + always a step which satisfies both conditions. If no step can + be found which satisfies both conditions, then the algorithm + usually stops when rounding errors prevent further progress. + In this case stp only satisfies the sufficient + decrease condition.

+ + @author Original Fortran version by Jorge J. More' and + David J. Thuente as part of the Minpack project, June 1983, + Argonne National Laboratory. Java translation by Robert + Dodier, August 1997. + + @param n The number of variables. + + @param x On entry this contains the base point for the line + search. On exit it contains x + stp*s. + + @param f On entry this contains the value of the objective + function at x. On exit it contains the value + of the objective function at x + stp*s. + + @param g On entry this contains the gradient of the objective + function at x. On exit it contains the gradient + at x + stp*s. + + @param s The search direction. + + @param stp On entry this contains an initial estimate of a + satifactory step length. On exit stp contains + the final estimate. + + @param ftol Tolerance for the sufficient decrease condition. + + @param xtol Termination occurs when the relative width of the + interval of uncertainty is at most xtol. + + @param maxfev Termination occurs when the number of evaluations + of the objective function is at least maxfev by + the end of an iteration. + + @param info This is an output variable, which can have these + values: +

    +
  • info = -1 A return is made to compute + the function and gradient. +
  • info = 1 The sufficient decrease condition + and the directional derivative condition hold. +
+ + @param nfev On exit, this is set to the number of function + evaluations. + + @param wa Temporary storage array, of length n. + */ + void run( + FloatType const& gtol, + FloatType const& stpmin, + FloatType const& stpmax, + SizeType n, + FloatType* x, + FloatType f, + const FloatType* g, + FloatType* s, + SizeType is0, + FloatType& stp, + FloatType ftol, + FloatType xtol, + SizeType maxfev, + int& info, + SizeType& nfev, + FloatType* wa); + + /* The purpose of this function is to compute a safeguarded step + for a linesearch and to update an interval of uncertainty for + a minimizer of the function.

+ + The parameter stx contains the step with the + least function value. The parameter stp contains + the current step. It is assumed that the derivative at + stx is negative in the direction of the step. If + brackt is true when + mcstep returns then a minimizer has been + bracketed in an interval of uncertainty with endpoints + stx and sty.

+ + Variables that must be modified by mcstep are + implemented as 1-element arrays. + + @param stx Step at the best step obtained so far. + This variable is modified by mcstep. + @param fx Function value at the best step obtained so far. + This variable is modified by mcstep. + @param dx Derivative at the best step obtained so far. + The derivative must be negative in the direction of the + step, that is, dx and stp-stx must + have opposite signs. This variable is modified by + mcstep. + + @param sty Step at the other endpoint of the interval of + uncertainty. This variable is modified by mcstep. + @param fy Function value at the other endpoint of the interval + of uncertainty. This variable is modified by + mcstep. + + @param dy Derivative at the other endpoint of the interval of + uncertainty. This variable is modified by mcstep. + + @param stp Step at the current step. If brackt is set + then on input stp must be between stx + and sty. On output stp is set to the + new step. + @param fp Function value at the current step. + @param dp Derivative at the current step. + + @param brackt Tells whether a minimizer has been bracketed. + If the minimizer has not been bracketed, then on input this + variable must be set false. If the minimizer has + been bracketed, then on output this variable is + true. + + @param stpmin Lower bound for the step. + @param stpmax Upper bound for the step. + + If the return value is 1, 2, 3, or 4, then the step has + been computed successfully. A return value of 0 indicates + improper input parameters. + + @author Jorge J. More, David J. Thuente: original Fortran version, + as part of Minpack project. Argonne Nat'l Laboratory, June 1983. + Robert Dodier: Java translation, August 1997. + */ + static int mcstep( + FloatType& stx, + FloatType& fx, + FloatType& dx, + FloatType& sty, + FloatType& fy, + FloatType& dy, + FloatType& stp, + FloatType fp, + FloatType dp, + bool& brackt, + FloatType stpmin, + FloatType stpmax); + + void serialize(std::ostream* out) const { + out->write((const char*)&infoc,sizeof(infoc)); + out->write((const char*)&dginit,sizeof(dginit)); + out->write((const char*)&brackt,sizeof(brackt)); + out->write((const char*)&stage1,sizeof(stage1)); + out->write((const char*)&finit,sizeof(finit)); + out->write((const char*)&dgtest,sizeof(dgtest)); + out->write((const char*)&width,sizeof(width)); + out->write((const char*)&width1,sizeof(width1)); + out->write((const char*)&stx,sizeof(stx)); + out->write((const char*)&fx,sizeof(fx)); + out->write((const char*)&dgx,sizeof(dgx)); + out->write((const char*)&sty,sizeof(sty)); + out->write((const char*)&fy,sizeof(fy)); + out->write((const char*)&dgy,sizeof(dgy)); + out->write((const char*)&stmin,sizeof(stmin)); + out->write((const char*)&stmax,sizeof(stmax)); + } + + void deserialize(std::istream* in) const { + in->read((char*)&infoc, sizeof(infoc)); + in->read((char*)&dginit, sizeof(dginit)); + in->read((char*)&brackt, sizeof(brackt)); + in->read((char*)&stage1, sizeof(stage1)); + in->read((char*)&finit, sizeof(finit)); + in->read((char*)&dgtest, sizeof(dgtest)); + in->read((char*)&width, sizeof(width)); + in->read((char*)&width1, sizeof(width1)); + in->read((char*)&stx, sizeof(stx)); + in->read((char*)&fx, sizeof(fx)); + in->read((char*)&dgx, sizeof(dgx)); + in->read((char*)&sty, sizeof(sty)); + in->read((char*)&fy, sizeof(fy)); + in->read((char*)&dgy, sizeof(dgy)); + in->read((char*)&stmin, sizeof(stmin)); + in->read((char*)&stmax, sizeof(stmax)); + } + }; + + template + void mcsrch::run( + FloatType const& gtol, + FloatType const& stpmin, + FloatType const& stpmax, + SizeType n, + FloatType* x, + FloatType f, + const FloatType* g, + FloatType* s, + SizeType is0, + FloatType& stp, + FloatType ftol, + FloatType xtol, + SizeType maxfev, + int& info, + SizeType& nfev, + FloatType* wa) + { + if (info != -1) { + infoc = 1; + if ( n == 0 + || maxfev == 0 + || gtol < FloatType(0) + || xtol < FloatType(0) + || stpmin < FloatType(0) + || stpmax < stpmin) { + throw error_internal_error(__FILE__, __LINE__); + } + if (stp <= FloatType(0) || ftol < FloatType(0)) { + throw error_internal_error(__FILE__, __LINE__); + } + // Compute the initial gradient in the search direction + // and check that s is a descent direction. + dginit = FloatType(0); + for (SizeType j = 0; j < n; j++) { + dginit += g[j] * s[is0+j]; + } + if (dginit >= FloatType(0)) { + throw error_search_direction_not_descent(); + } + brackt = false; + stage1 = true; + nfev = 0; + finit = f; + dgtest = ftol*dginit; + width = stpmax - stpmin; + width1 = FloatType(2) * width; + std::copy(x, x+n, wa); + // The variables stx, fx, dgx contain the values of the step, + // function, and directional derivative at the best step. + // The variables sty, fy, dgy contain the value of the step, + // function, and derivative at the other endpoint of + // the interval of uncertainty. + // The variables stp, f, dg contain the values of the step, + // function, and derivative at the current step. + stx = FloatType(0); + fx = finit; + dgx = dginit; + sty = FloatType(0); + fy = finit; + dgy = dginit; + } + for (;;) { + if (info != -1) { + // Set the minimum and maximum steps to correspond + // to the present interval of uncertainty. + if (brackt) { + stmin = std::min(stx, sty); + stmax = std::max(stx, sty); + } + else { + stmin = stx; + stmax = stp + FloatType(4) * (stp - stx); + } + // Force the step to be within the bounds stpmax and stpmin. + stp = std::max(stp, stpmin); + stp = std::min(stp, stpmax); + // If an unusual termination is to occur then let + // stp be the lowest point obtained so far. + if ( (brackt && (stp <= stmin || stp >= stmax)) + || nfev >= maxfev - 1 || infoc == 0 + || (brackt && stmax - stmin <= xtol * stmax)) { + stp = stx; + } + // Evaluate the function and gradient at stp + // and compute the directional derivative. + // We return to main program to obtain F and G. + for (SizeType j = 0; j < n; j++) { + x[j] = wa[j] + stp * s[is0+j]; + } + info=-1; + break; + } + info = 0; + nfev++; + FloatType dg(0); + for (SizeType j = 0; j < n; j++) { + dg += g[j] * s[is0+j]; + } + FloatType ftest1 = finit + stp*dgtest; + // Test for convergence. + if ((brackt && (stp <= stmin || stp >= stmax)) || infoc == 0) { + throw error_line_search_failed_rounding_errors( + "Rounding errors prevent further progress." + " There may not be a step which satisfies the" + " sufficient decrease and curvature conditions." + " Tolerances may be too small."); + } + if (stp == stpmax && f <= ftest1 && dg <= dgtest) { + throw error_line_search_failed( + "The step is at the upper bound stpmax()."); + } + if (stp == stpmin && (f > ftest1 || dg >= dgtest)) { + throw error_line_search_failed( + "The step is at the lower bound stpmin()."); + } + if (nfev >= maxfev) { + throw error_line_search_failed( + "Number of function evaluations has reached maxfev()."); + } + if (brackt && stmax - stmin <= xtol * stmax) { + throw error_line_search_failed( + "Relative width of the interval of uncertainty" + " is at most xtol()."); + } + // Check for termination. + if (f <= ftest1 && abs(dg) <= gtol * (-dginit)) { + info = 1; + break; + } + // In the first stage we seek a step for which the modified + // function has a nonpositive value and nonnegative derivative. + if ( stage1 && f <= ftest1 + && dg >= std::min(ftol, gtol) * dginit) { + stage1 = false; + } + // A modified function is used to predict the step only if + // we have not obtained a step for which the modified + // function has a nonpositive function value and nonnegative + // derivative, and if a lower function value has been + // obtained but the decrease is not sufficient. + if (stage1 && f <= fx && f > ftest1) { + // Define the modified function and derivative values. + FloatType fm = f - stp*dgtest; + FloatType fxm = fx - stx*dgtest; + FloatType fym = fy - sty*dgtest; + FloatType dgm = dg - dgtest; + FloatType dgxm = dgx - dgtest; + FloatType dgym = dgy - dgtest; + // Call cstep to update the interval of uncertainty + // and to compute the new step. + infoc = mcstep(stx, fxm, dgxm, sty, fym, dgym, stp, fm, dgm, + brackt, stmin, stmax); + // Reset the function and gradient values for f. + fx = fxm + stx*dgtest; + fy = fym + sty*dgtest; + dgx = dgxm + dgtest; + dgy = dgym + dgtest; + } + else { + // Call mcstep to update the interval of uncertainty + // and to compute the new step. + infoc = mcstep(stx, fx, dgx, sty, fy, dgy, stp, f, dg, + brackt, stmin, stmax); + } + // Force a sufficient decrease in the size of the + // interval of uncertainty. + if (brackt) { + if (abs(sty - stx) >= FloatType(0.66) * width1) { + stp = stx + FloatType(0.5) * (sty - stx); + } + width1 = width; + width = abs(sty - stx); + } + } + } + + template + int mcsrch::mcstep( + FloatType& stx, + FloatType& fx, + FloatType& dx, + FloatType& sty, + FloatType& fy, + FloatType& dy, + FloatType& stp, + FloatType fp, + FloatType dp, + bool& brackt, + FloatType stpmin, + FloatType stpmax) + { + bool bound; + FloatType gamma, p, q, r, s, sgnd, stpc, stpf, stpq, theta; + int info = 0; + if ( ( brackt && (stp <= std::min(stx, sty) + || stp >= std::max(stx, sty))) + || dx * (stp - stx) >= FloatType(0) || stpmax < stpmin) { + return 0; + } + // Determine if the derivatives have opposite sign. + sgnd = dp * (dx / abs(dx)); + if (fp > fx) { + // First case. A higher function value. + // The minimum is bracketed. If the cubic step is closer + // to stx than the quadratic step, the cubic step is taken, + // else the average of the cubic and quadratic steps is taken. + info = 1; + bound = true; + theta = FloatType(3) * (fx - fp) / (stp - stx) + dx + dp; + s = max3(abs(theta), abs(dx), abs(dp)); + gamma = s * std::sqrt(pow2(theta / s) - (dx / s) * (dp / s)); + if (stp < stx) gamma = - gamma; + p = (gamma - dx) + theta; + q = ((gamma - dx) + gamma) + dp; + r = p/q; + stpc = stx + r * (stp - stx); + stpq = stx + + ((dx / ((fx - fp) / (stp - stx) + dx)) / FloatType(2)) + * (stp - stx); + if (abs(stpc - stx) < abs(stpq - stx)) { + stpf = stpc; + } + else { + stpf = stpc + (stpq - stpc) / FloatType(2); + } + brackt = true; + } + else if (sgnd < FloatType(0)) { + // Second case. A lower function value and derivatives of + // opposite sign. The minimum is bracketed. If the cubic + // step is closer to stx than the quadratic (secant) step, + // the cubic step is taken, else the quadratic step is taken. + info = 2; + bound = false; + theta = FloatType(3) * (fx - fp) / (stp - stx) + dx + dp; + s = max3(abs(theta), abs(dx), abs(dp)); + gamma = s * std::sqrt(pow2(theta / s) - (dx / s) * (dp / s)); + if (stp > stx) gamma = - gamma; + p = (gamma - dp) + theta; + q = ((gamma - dp) + gamma) + dx; + r = p/q; + stpc = stp + r * (stx - stp); + stpq = stp + (dp / (dp - dx)) * (stx - stp); + if (abs(stpc - stp) > abs(stpq - stp)) { + stpf = stpc; + } + else { + stpf = stpq; + } + brackt = true; + } + else if (abs(dp) < abs(dx)) { + // Third case. A lower function value, derivatives of the + // same sign, and the magnitude of the derivative decreases. + // The cubic step is only used if the cubic tends to infinity + // in the direction of the step or if the minimum of the cubic + // is beyond stp. Otherwise the cubic step is defined to be + // either stpmin or stpmax. The quadratic (secant) step is also + // computed and if the minimum is bracketed then the the step + // closest to stx is taken, else the step farthest away is taken. + info = 3; + bound = true; + theta = FloatType(3) * (fx - fp) / (stp - stx) + dx + dp; + s = max3(abs(theta), abs(dx), abs(dp)); + gamma = s * std::sqrt( + std::max(FloatType(0), pow2(theta / s) - (dx / s) * (dp / s))); + if (stp > stx) gamma = -gamma; + p = (gamma - dp) + theta; + q = (gamma + (dx - dp)) + gamma; + r = p/q; + if (r < FloatType(0) && gamma != FloatType(0)) { + stpc = stp + r * (stx - stp); + } + else if (stp > stx) { + stpc = stpmax; + } + else { + stpc = stpmin; + } + stpq = stp + (dp / (dp - dx)) * (stx - stp); + if (brackt) { + if (abs(stp - stpc) < abs(stp - stpq)) { + stpf = stpc; + } + else { + stpf = stpq; + } + } + else { + if (abs(stp - stpc) > abs(stp - stpq)) { + stpf = stpc; + } + else { + stpf = stpq; + } + } + } + else { + // Fourth case. A lower function value, derivatives of the + // same sign, and the magnitude of the derivative does + // not decrease. If the minimum is not bracketed, the step + // is either stpmin or stpmax, else the cubic step is taken. + info = 4; + bound = false; + if (brackt) { + theta = FloatType(3) * (fp - fy) / (sty - stp) + dy + dp; + s = max3(abs(theta), abs(dy), abs(dp)); + gamma = s * std::sqrt(pow2(theta / s) - (dy / s) * (dp / s)); + if (stp > sty) gamma = -gamma; + p = (gamma - dp) + theta; + q = ((gamma - dp) + gamma) + dy; + r = p/q; + stpc = stp + r * (sty - stp); + stpf = stpc; + } + else if (stp > stx) { + stpf = stpmax; + } + else { + stpf = stpmin; + } + } + // Update the interval of uncertainty. This update does not + // depend on the new step or the case analysis above. + if (fp > fx) { + sty = stp; + fy = fp; + dy = dp; + } + else { + if (sgnd < FloatType(0)) { + sty = stx; + fy = fx; + dy = dx; + } + stx = stp; + fx = fp; + dx = dp; + } + // Compute the new step and safeguard it. + stpf = std::min(stpmax, stpf); + stpf = std::max(stpmin, stpf); + stp = stpf; + if (brackt && bound) { + if (sty > stx) { + stp = std::min(stx + FloatType(0.66) * (sty - stx), stp); + } + else { + stp = std::max(stx + FloatType(0.66) * (sty - stx), stp); + } + } + return info; + } + + /* Compute the sum of a vector times a scalar plus another vector. + Adapted from the subroutine daxpy in + lbfgs.f. + */ + template + void daxpy( + SizeType n, + FloatType da, + const FloatType* dx, + SizeType ix0, + SizeType incx, + FloatType* dy, + SizeType iy0, + SizeType incy) + { + SizeType i, ix, iy, m; + if (n == 0) return; + if (da == FloatType(0)) return; + if (!(incx == 1 && incy == 1)) { + ix = 0; + iy = 0; + for (i = 0; i < n; i++) { + dy[iy0+iy] += da * dx[ix0+ix]; + ix += incx; + iy += incy; + } + return; + } + m = n % 4; + for (i = 0; i < m; i++) { + dy[iy0+i] += da * dx[ix0+i]; + } + for (; i < n;) { + dy[iy0+i] += da * dx[ix0+i]; i++; + dy[iy0+i] += da * dx[ix0+i]; i++; + dy[iy0+i] += da * dx[ix0+i]; i++; + dy[iy0+i] += da * dx[ix0+i]; i++; + } + } + + template + inline + void daxpy( + SizeType n, + FloatType da, + const FloatType* dx, + SizeType ix0, + FloatType* dy) + { + daxpy(n, da, dx, ix0, SizeType(1), dy, SizeType(0), SizeType(1)); + } + + /* Compute the dot product of two vectors. + Adapted from the subroutine ddot + in lbfgs.f. + */ + template + FloatType ddot( + SizeType n, + const FloatType* dx, + SizeType ix0, + SizeType incx, + const FloatType* dy, + SizeType iy0, + SizeType incy) + { + SizeType i, ix, iy, m; + FloatType dtemp(0); + if (n == 0) return FloatType(0); + if (!(incx == 1 && incy == 1)) { + ix = 0; + iy = 0; + for (i = 0; i < n; i++) { + dtemp += dx[ix0+ix] * dy[iy0+iy]; + ix += incx; + iy += incy; + } + return dtemp; + } + m = n % 5; + for (i = 0; i < m; i++) { + dtemp += dx[ix0+i] * dy[iy0+i]; + } + for (; i < n;) { + dtemp += dx[ix0+i] * dy[iy0+i]; i++; + dtemp += dx[ix0+i] * dy[iy0+i]; i++; + dtemp += dx[ix0+i] * dy[iy0+i]; i++; + dtemp += dx[ix0+i] * dy[iy0+i]; i++; + dtemp += dx[ix0+i] * dy[iy0+i]; i++; + } + return dtemp; + } + + template + inline + FloatType ddot( + SizeType n, + const FloatType* dx, + const FloatType* dy) + { + return ddot( + n, dx, SizeType(0), SizeType(1), dy, SizeType(0), SizeType(1)); + } + + } // namespace detail + + //! Interface to the LBFGS %minimizer. + /*! This class solves the unconstrained minimization problem + 

+          min f(x),  x = (x1,x2,...,x_n),
+
+ using the limited-memory BFGS method. The routine is + especially effective on problems involving a large number of + variables. In a typical iteration of this method an + approximation Hk to the inverse of the Hessian + is obtained by applying m BFGS updates to a + diagonal matrix Hk0, using information from the + previous m steps. The user specifies the number + m, which determines the amount of storage + required by the routine. The user may also provide the + diagonal matrices Hk0 (parameter diag in the run() + function) if not satisfied with the default choice. The + algorithm is described in "On the limited memory BFGS method for + large scale optimization", by D. Liu and J. Nocedal, Mathematical + Programming B 45 (1989) 503-528. + + The user is required to calculate the function value + f and its gradient g. In order to + allow the user complete control over these computations, + reverse communication is used. The routine must be called + repeatedly under the control of the member functions + requests_f_and_g(), + requests_diag(). + If neither requests_f_and_g() nor requests_diag() is + true the user should check for convergence + (using class traditional_convergence_test or any + other custom test). If the convergence test is negative, + the minimizer may be called again for the next iteration. + + The steplength (stp()) is determined at each iteration + by means of the line search routine mcsrch, which is + a slight modification of the routine CSRCH written + by More' and Thuente. + + The only variables that are machine-dependent are + xtol, + stpmin and + stpmax. + + Fatal errors cause error exceptions to be thrown. + The generic class error is sub-classed (e.g. + class error_line_search_failed) to facilitate + granular %error handling. + + A note on performance: Using Compaq Fortran V5.4 and + Compaq C++ V6.5, the C++ implementation is about 15% slower + than the Fortran implementation. + */ + template + class minimizer + { + public: + //! Default constructor. Some members are not initialized! + minimizer() + : n_(0), m_(0), maxfev_(0), + gtol_(0), xtol_(0), + stpmin_(0), stpmax_(0), + ispt(0), iypt(0) + {} + + //! Constructor. + /*! @param n The number of variables in the minimization problem. + Restriction: n > 0. + + @param m The number of corrections used in the BFGS update. + Values of m less than 3 are not recommended; + large values of m will result in excessive + computing time. 3 <= m <= 7 is + recommended. + Restriction: m > 0. + + @param maxfev Maximum number of function evaluations + per line search. + Termination occurs when the number of evaluations + of the objective function is at least maxfev by + the end of an iteration. + + @param gtol Controls the accuracy of the line search. + If the function and gradient evaluations are inexpensive with + respect to the cost of the iteration (which is sometimes the + case when solving very large problems) it may be advantageous + to set gtol to a small value. A typical small + value is 0.1. + Restriction: gtol should be greater than 1e-4. + + @param xtol An estimate of the machine precision (e.g. 10e-16 + on a SUN station 3/60). The line search routine will + terminate if the relative width of the interval of + uncertainty is less than xtol. + + @param stpmin Specifies the lower bound for the step + in the line search. + The default value is 1e-20. This value need not be modified + unless the exponent is too large for the machine being used, + or unless the problem is extremely badly scaled (in which + case the exponent should be increased). + + @param stpmax specifies the upper bound for the step + in the line search. + The default value is 1e20. This value need not be modified + unless the exponent is too large for the machine being used, + or unless the problem is extremely badly scaled (in which + case the exponent should be increased). + */ + explicit + minimizer( + SizeType n, + SizeType m = 5, + SizeType maxfev = 20, + FloatType gtol = FloatType(0.9), + FloatType xtol = FloatType(1.e-16), + FloatType stpmin = FloatType(1.e-20), + FloatType stpmax = FloatType(1.e20)) + : n_(n), m_(m), maxfev_(maxfev), + gtol_(gtol), xtol_(xtol), + stpmin_(stpmin), stpmax_(stpmax), + iflag_(0), requests_f_and_g_(false), requests_diag_(false), + iter_(0), nfun_(0), stp_(0), + stp1(0), ftol(0.0001), ys(0), point(0), npt(0), + ispt(n+2*m), iypt((n+2*m)+n*m), + info(0), bound(0), nfev(0) + { + if (n_ == 0) { + throw error_improper_input_parameter("n = 0."); + } + if (m_ == 0) { + throw error_improper_input_parameter("m = 0."); + } + if (maxfev_ == 0) { + throw error_improper_input_parameter("maxfev = 0."); + } + if (gtol_ <= FloatType(1.e-4)) { + throw error_improper_input_parameter("gtol <= 1.e-4."); + } + if (xtol_ < FloatType(0)) { + throw error_improper_input_parameter("xtol < 0."); + } + if (stpmin_ < FloatType(0)) { + throw error_improper_input_parameter("stpmin < 0."); + } + if (stpmax_ < stpmin) { + throw error_improper_input_parameter("stpmax < stpmin"); + } + w_.resize(n_*(2*m_+1)+2*m_); + scratch_array_.resize(n_); + } + + //! Number of free parameters (as passed to the constructor). + SizeType n() const { return n_; } + + //! Number of corrections kept (as passed to the constructor). + SizeType m() const { return m_; } + + /*! \brief Maximum number of evaluations of the objective function + per line search (as passed to the constructor). + */ + SizeType maxfev() const { return maxfev_; } + + /*! \brief Control of the accuracy of the line search. + (as passed to the constructor). + */ + FloatType gtol() const { return gtol_; } + + //! Estimate of the machine precision (as passed to the constructor). + FloatType xtol() const { return xtol_; } + + /*! \brief Lower bound for the step in the line search. + (as passed to the constructor). + */ + FloatType stpmin() const { return stpmin_; } + + /*! \brief Upper bound for the step in the line search. + (as passed to the constructor). + */ + FloatType stpmax() const { return stpmax_; } + + //! Status indicator for reverse communication. + /*! true if the run() function returns to request + evaluation of the objective function (f) and + gradients (g) for the current point + (x). To continue the minimization the + run() function is called again with the updated values for + f and g. +

+ See also: requests_diag() + */ + bool requests_f_and_g() const { return requests_f_and_g_; } + + //! Status indicator for reverse communication. + /*! true if the run() function returns to request + evaluation of the diagonal matrix (diag) + for the current point (x). + To continue the minimization the run() function is called + again with the updated values for diag. +

+ See also: requests_f_and_g() + */ + bool requests_diag() const { return requests_diag_; } + + //! Number of iterations so far. + /*! Note that one iteration may involve multiple evaluations + of the objective function. +

+ See also: nfun() + */ + SizeType iter() const { return iter_; } + + //! Total number of evaluations of the objective function so far. + /*! The total number of function evaluations increases by the + number of evaluations required for the line search. The total + is only increased after a successful line search. +

+ See also: iter() + */ + SizeType nfun() const { return nfun_; } + + //! Norm of gradient given gradient array of length n(). + FloatType euclidean_norm(const FloatType* a) const { + return std::sqrt(detail::ddot(n_, a, a)); + } + + //! Current stepsize. + FloatType stp() const { return stp_; } + + //! Execution of one step of the minimization. + /*! @param x On initial entry this must be set by the user to + the values of the initial estimate of the solution vector. + + @param f Before initial entry or on re-entry under the + control of requests_f_and_g(), f must be set + by the user to contain the value of the objective function + at the current point x. + + @param g Before initial entry or on re-entry under the + control of requests_f_and_g(), g must be set + by the user to contain the components of the gradient at + the current point x. + + The return value is true if either + requests_f_and_g() or requests_diag() is true. + Otherwise the user should check for convergence + (e.g. using class traditional_convergence_test) and + call the run() function again to continue the minimization. + If the return value is false the user + should not update f, g or + diag (other overload) before calling + the run() function again. + + Note that x is always modified by the run() + function. Depending on the situation it can therefore be + necessary to evaluate the objective function one more time + after the minimization is terminated. + */ + bool run( + FloatType* x, + FloatType f, + const FloatType* g) + { + return generic_run(x, f, g, false, 0); + } + + //! Execution of one step of the minimization. + /*! @param x See other overload. + + @param f See other overload. + + @param g See other overload. + + @param diag On initial entry or on re-entry under the + control of requests_diag(), diag must be set by + the user to contain the values of the diagonal matrix Hk0. + The routine will return at each iteration of the algorithm + with requests_diag() set to true. +

+ Restriction: all elements of diag must be + positive. + */ + bool run( + FloatType* x, + FloatType f, + const FloatType* g, + const FloatType* diag) + { + return generic_run(x, f, g, true, diag); + } + + void serialize(std::ostream* out) const { + out->write((const char*)&n_, sizeof(n_)); // sanity check + out->write((const char*)&m_, sizeof(m_)); // sanity check + SizeType fs = sizeof(FloatType); + out->write((const char*)&fs, sizeof(fs)); // sanity check + + mcsrch_instance.serialize(out); + out->write((const char*)&iflag_, sizeof(iflag_)); + out->write((const char*)&requests_f_and_g_, sizeof(requests_f_and_g_)); + out->write((const char*)&requests_diag_, sizeof(requests_diag_)); + out->write((const char*)&iter_, sizeof(iter_)); + out->write((const char*)&nfun_, sizeof(nfun_)); + out->write((const char*)&stp_, sizeof(stp_)); + out->write((const char*)&stp1, sizeof(stp1)); + out->write((const char*)&ftol, sizeof(ftol)); + out->write((const char*)&ys, sizeof(ys)); + out->write((const char*)&point, sizeof(point)); + out->write((const char*)&npt, sizeof(npt)); + out->write((const char*)&info, sizeof(info)); + out->write((const char*)&bound, sizeof(bound)); + out->write((const char*)&nfev, sizeof(nfev)); + out->write((const char*)&w_[0], sizeof(FloatType) * w_.size()); + out->write((const char*)&scratch_array_[0], sizeof(FloatType) * scratch_array_.size()); + } + + void deserialize(std::istream* in) { + SizeType n, m, fs; + in->read((char*)&n, sizeof(n)); + in->read((char*)&m, sizeof(m)); + in->read((char*)&fs, sizeof(fs)); + assert(n == n_); + assert(m == m_); + assert(fs == sizeof(FloatType)); + + mcsrch_instance.deserialize(in); + in->read((char*)&iflag_, sizeof(iflag_)); + in->read((char*)&requests_f_and_g_, sizeof(requests_f_and_g_)); + in->read((char*)&requests_diag_, sizeof(requests_diag_)); + in->read((char*)&iter_, sizeof(iter_)); + in->read((char*)&nfun_, sizeof(nfun_)); + in->read((char*)&stp_, sizeof(stp_)); + in->read((char*)&stp1, sizeof(stp1)); + in->read((char*)&ftol, sizeof(ftol)); + in->read((char*)&ys, sizeof(ys)); + in->read((char*)&point, sizeof(point)); + in->read((char*)&npt, sizeof(npt)); + in->read((char*)&info, sizeof(info)); + in->read((char*)&bound, sizeof(bound)); + in->read((char*)&nfev, sizeof(nfev)); + in->read((char*)&w_[0], sizeof(FloatType) * w_.size()); + in->read((char*)&scratch_array_[0], sizeof(FloatType) * scratch_array_.size()); + } + + protected: + static void throw_diagonal_element_not_positive(SizeType i) { + throw error_improper_input_data( + "The " + error::itoa(i) + ". diagonal element of the" + " inverse Hessian approximation is not positive."); + } + + bool generic_run( + FloatType* x, + FloatType f, + const FloatType* g, + bool diagco, + const FloatType* diag); + + detail::mcsrch mcsrch_instance; + const SizeType n_; + const SizeType m_; + const SizeType maxfev_; + const FloatType gtol_; + const FloatType xtol_; + const FloatType stpmin_; + const FloatType stpmax_; + int iflag_; + bool requests_f_and_g_; + bool requests_diag_; + SizeType iter_; + SizeType nfun_; + FloatType stp_; + FloatType stp1; + FloatType ftol; + FloatType ys; + SizeType point; + SizeType npt; + const SizeType ispt; + const SizeType iypt; + int info; + SizeType bound; + SizeType nfev; + std::vector w_; + std::vector scratch_array_; + }; + + template + bool minimizer::generic_run( + FloatType* x, + FloatType f, + const FloatType* g, + bool diagco, + const FloatType* diag) + { + bool execute_entire_while_loop = false; + if (!(requests_f_and_g_ || requests_diag_)) { + execute_entire_while_loop = true; + } + requests_f_and_g_ = false; + requests_diag_ = false; + FloatType* w = &(*(w_.begin())); + if (iflag_ == 0) { // Initialize. + nfun_ = 1; + if (diagco) { + for (SizeType i = 0; i < n_; i++) { + if (diag[i] <= FloatType(0)) { + throw_diagonal_element_not_positive(i); + } + } + } + else { + std::fill_n(scratch_array_.begin(), n_, FloatType(1)); + diag = &(*(scratch_array_.begin())); + } + for (SizeType i = 0; i < n_; i++) { + w[ispt + i] = -g[i] * diag[i]; + } + FloatType gnorm = std::sqrt(detail::ddot(n_, g, g)); + if (gnorm == FloatType(0)) return false; + stp1 = FloatType(1) / gnorm; + execute_entire_while_loop = true; + } + if (execute_entire_while_loop) { + bound = iter_; + iter_++; + info = 0; + if (iter_ != 1) { + if (iter_ > m_) bound = m_; + ys = detail::ddot( + n_, w, iypt + npt, SizeType(1), w, ispt + npt, SizeType(1)); + if (!diagco) { + FloatType yy = detail::ddot( + n_, w, iypt + npt, SizeType(1), w, iypt + npt, SizeType(1)); + std::fill_n(scratch_array_.begin(), n_, ys / yy); + diag = &(*(scratch_array_.begin())); + } + else { + iflag_ = 2; + requests_diag_ = true; + return true; + } + } + } + if (execute_entire_while_loop || iflag_ == 2) { + if (iter_ != 1) { + if (diag == 0) { + throw error_internal_error(__FILE__, __LINE__); + } + if (diagco) { + for (SizeType i = 0; i < n_; i++) { + if (diag[i] <= FloatType(0)) { + throw_diagonal_element_not_positive(i); + } + } + } + SizeType cp = point; + if (point == 0) cp = m_; + w[n_ + cp -1] = 1 / ys; + SizeType i; + for (i = 0; i < n_; i++) { + w[i] = -g[i]; + } + cp = point; + for (i = 0; i < bound; i++) { + if (cp == 0) cp = m_; + cp--; + FloatType sq = detail::ddot( + n_, w, ispt + cp * n_, SizeType(1), w, SizeType(0), SizeType(1)); + SizeType inmc=n_+m_+cp; + SizeType iycn=iypt+cp*n_; + w[inmc] = w[n_ + cp] * sq; + detail::daxpy(n_, -w[inmc], w, iycn, w); + } + for (i = 0; i < n_; i++) { + w[i] *= diag[i]; + } + for (i = 0; i < bound; i++) { + FloatType yr = detail::ddot( + n_, w, iypt + cp * n_, SizeType(1), w, SizeType(0), SizeType(1)); + FloatType beta = w[n_ + cp] * yr; + SizeType inmc=n_+m_+cp; + beta = w[inmc] - beta; + SizeType iscn=ispt+cp*n_; + detail::daxpy(n_, beta, w, iscn, w); + cp++; + if (cp == m_) cp = 0; + } + std::copy(w, w+n_, w+(ispt + point * n_)); + } + stp_ = FloatType(1); + if (iter_ == 1) stp_ = stp1; + std::copy(g, g+n_, w); + } + mcsrch_instance.run( + gtol_, stpmin_, stpmax_, n_, x, f, g, w, ispt + point * n_, + stp_, ftol, xtol_, maxfev_, info, nfev, &(*(scratch_array_.begin()))); + if (info == -1) { + iflag_ = 1; + requests_f_and_g_ = true; + return true; + } + if (info != 1) { + throw error_internal_error(__FILE__, __LINE__); + } + nfun_ += nfev; + npt = point*n_; + for (SizeType i = 0; i < n_; i++) { + w[ispt + npt + i] = stp_ * w[ispt + npt + i]; + w[iypt + npt + i] = g[i] - w[i]; + } + point++; + if (point == m_) point = 0; + return false; + } + + //! Traditional LBFGS convergence test. + /*! This convergence test is equivalent to the test embedded + in the lbfgs.f Fortran code. The test assumes that + there is a meaningful relation between the Euclidean norm of the + parameter vector x and the norm of the gradient + vector g. Therefore this test should not be used if + this assumption is not correct for a given problem. + */ + template + class traditional_convergence_test + { + public: + //! Default constructor. + traditional_convergence_test() + : n_(0), eps_(0) + {} + + //! Constructor. + /*! @param n The number of variables in the minimization problem. + Restriction: n > 0. + + @param eps Determines the accuracy with which the solution + is to be found. + */ + explicit + traditional_convergence_test( + SizeType n, + FloatType eps = FloatType(1.e-5)) + : n_(n), eps_(eps) + { + if (n_ == 0) { + throw error_improper_input_parameter("n = 0."); + } + if (eps_ < FloatType(0)) { + throw error_improper_input_parameter("eps < 0."); + } + } + + //! Number of free parameters (as passed to the constructor). + SizeType n() const { return n_; } + + /*! \brief Accuracy with which the solution is to be found + (as passed to the constructor). + */ + FloatType eps() const { return eps_; } + + //! Execution of the convergence test for the given parameters. + /*! Returns true if + 

+            ||g|| < eps * max(1,||x||),
+
+ where ||.|| denotes the Euclidean norm. + + @param x Current solution vector. + + @param g Components of the gradient at the current + point x. + */ + bool + operator()(const FloatType* x, const FloatType* g) const + { + FloatType xnorm = std::sqrt(detail::ddot(n_, x, x)); + FloatType gnorm = std::sqrt(detail::ddot(n_, g, g)); + if (gnorm <= eps_ * std::max(FloatType(1), xnorm)) return true; + return false; + } + protected: + const SizeType n_; + const FloatType eps_; + }; + +}} // namespace scitbx::lbfgs + +template +std::ostream& operator<<(std::ostream& os, const scitbx::lbfgs::minimizer& min) { + return os << "ITER=" << min.iter() << "\tNFUN=" << min.nfun() << "\tSTP=" << min.stp() << "\tDIAG=" << min.requests_diag() << "\tF&G=" << min.requests_f_and_g(); +} + + +#endif // SCITBX_LBFGS_H diff --git a/training/lbfgs_test.cc b/training/lbfgs_test.cc new file mode 100644 index 00000000..4171c118 --- /dev/null +++ b/training/lbfgs_test.cc @@ -0,0 +1,112 @@ +#include +#include +#include +#include "lbfgs.h" +#include "sparse_vector.h" +#include "fdict.h" + +using namespace std; + +double TestOptimizer() { + cerr << "TESTING NON-PERSISTENT OPTIMIZER\n"; + + // f(x,y) = 4x1^2 + x1*x2 + x2^2 + x3^2 + 6x3 + 5 + // df/dx1 = 8*x1 + x2 + // df/dx2 = 2*x2 + x1 + // df/dx3 = 2*x3 + 6 + double x[3]; + double g[3]; + scitbx::lbfgs::minimizer opt(3); + scitbx::lbfgs::traditional_convergence_test converged(3); + x[0] = 8; + x[1] = 8; + x[2] = 8; + double obj = 0; + do { + g[0] = 8 * x[0] + x[1]; + g[1] = 2 * x[1] + x[0]; + g[2] = 2 * x[2] + 6; + obj = 4 * x[0]*x[0] + x[0] * x[1] + x[1]*x[1] + x[2]*x[2] + 6 * x[2] + 5; + opt.run(x, obj, g); + + cerr << x[0] << " " << x[1] << " " << x[2] << endl; + cerr << " obj=" << obj << "\td/dx1=" << g[0] << " d/dx2=" << g[1] << " d/dx3=" << g[2] << endl; + cerr << opt << endl; + } while (!converged(x, g)); + return obj; +} + +double TestPersistentOptimizer() { + cerr << "\nTESTING PERSISTENT OPTIMIZER\n"; + // f(x,y) = 4x1^2 + x1*x2 + x2^2 + x3^2 + 6x3 + 5 + // df/dx1 = 8*x1 + x2 + // df/dx2 = 2*x2 + x1 + // df/dx3 = 2*x3 + 6 + double x[3]; + double g[3]; + scitbx::lbfgs::traditional_convergence_test converged(3); + x[0] = 8; + x[1] = 8; + x[2] = 8; + double obj = 0; + string state; + do { + g[0] = 8 * x[0] + x[1]; + g[1] = 2 * x[1] + x[0]; + g[2] = 2 * x[2] + 6; + obj = 4 * x[0]*x[0] + x[0] * x[1] + x[1]*x[1] + x[2]*x[2] + 6 * x[2] + 5; + + { + scitbx::lbfgs::minimizer opt(3); + if (state.size() > 0) { + istringstream is(state, ios::binary); + opt.deserialize(&is); + } + opt.run(x, obj, g); + ostringstream os(ios::binary); opt.serialize(&os); state = os.str(); + } + + cerr << x[0] << " " << x[1] << " " << x[2] << endl; + cerr << " obj=" << obj << "\td/dx1=" << g[0] << " d/dx2=" << g[1] << " d/dx3=" << g[2] << endl; + } while (!converged(x, g)); + return obj; +} + +void TestSparseVector() { + cerr << "Testing SparseVector serialization.\n"; + int f1 = FD::Convert("Feature_1"); + int f2 = FD::Convert("Feature_2"); + FD::Convert("LanguageModel"); + int f4 = FD::Convert("SomeFeature"); + int f5 = FD::Convert("SomeOtherFeature"); + SparseVector g; + g.set_value(f2, log(0.5)); + g.set_value(f4, log(0.125)); + g.set_value(f1, 0); + g.set_value(f5, 23.777); + ostringstream os; + double iobj = 1.5; + B64::Encode(iobj, g, &os); + cerr << iobj << "\t" << g << endl; + string data = os.str(); + cout << data << endl; + SparseVector v; + double obj; + assert(B64::Decode(&obj, &v, &data[0], data.size())); + cerr << obj << "\t" << v << endl; + assert(obj == iobj); + assert(g.num_active() == v.num_active()); +} + +int main() { + double o1 = TestOptimizer(); + double o2 = TestPersistentOptimizer(); + if (o1 != o2) { + cerr << "OPTIMIZERS PERFORMED DIFFERENTLY!\n" << o1 << " vs. " << o2 << endl; + return 1; + } + TestSparseVector(); + cerr << "SUCCESS\n"; + return 0; +} + diff --git a/training/make-lexcrf-grammar.pl b/training/make-lexcrf-grammar.pl new file mode 100755 index 00000000..8cdf7718 --- /dev/null +++ b/training/make-lexcrf-grammar.pl @@ -0,0 +1,285 @@ +#!/usr/bin/perl -w +use utf8; +use strict; +my ($effile, $model1) = @ARGV; +die "Usage: $0 corpus.fr-en corpus.model1\n" unless $effile && -f $effile && $model1 && -f $model1; + +open EF, "<$effile" or die; +open M1, "<$model1" or die; +binmode(EF,":utf8"); +binmode(M1,":utf8"); +binmode(STDOUT,":utf8"); +my %model1; +while() { + chomp; + my ($f, $e, $lp) = split /\s+/; + $model1{$f}->{$e} = $lp; +} + +my $ADD_MODEL1 = 0; # found that model1 hurts performance +my $IS_FRENCH_F = 1; # indicates that the f language is french +my $IS_ARABIC_F = 0; # indicates that the f language is arabic +my $IS_URDU_F = 0; # indicates that the f language is arabic +my $ADD_PREFIX_ID = 0; +my $ADD_LEN = 1; +my $ADD_SIM = 1; +my $ADD_DICE = 1; +my $ADD_111 = 1; +my $ADD_ID = 1; +my $ADD_PUNC = 1; +my $ADD_NUM_MM = 1; +my $ADD_NULL = 1; +my $ADD_STEM_ID = 1; +my $BEAM_RATIO = 50; + +my %fdict; +my %fcounts; +my %ecounts; + +my %sdict; + +while() { + chomp; + my ($f, $e) = split /\s*\|\|\|\s*/; + my @es = split /\s+/, $e; + my @fs = split /\s+/, $f; + for my $ew (@es){ $ecounts{$ew}++; } + push @fs, '' if $ADD_NULL; + for my $fw (@fs){ $fcounts{$fw}++; } + for my $fw (@fs){ + for my $ew (@es){ + $fdict{$fw}->{$ew}++; + } + } +} + +print STDERR "Dice 0\n" if $ADD_DICE; +print STDERR "OneOneOne 0\nId_OneOneOne 0\n" if $ADD_111; +print STDERR "Identical 0\n" if $ADD_ID; +print STDERR "PuncMiss 0\n" if $ADD_PUNC; +print STDERR "IsNull 0\n" if $ADD_NULL; +print STDERR "Model1 0\n" if $ADD_MODEL1; +print STDERR "DLen 0\n" if $ADD_LEN; +print STDERR "NumMM 0\nNumMatch 0\n" if $ADD_NUM_MM; +print STDERR "OrthoSim 0\n" if $ADD_SIM; +print STDERR "PfxIdentical 0\n" if ($ADD_PREFIX_ID); +my $fc = 1000000; +my $sids = 1000000; +for my $f (sort keys %fdict) { + my $re = $fdict{$f}; + my $max; + for my $e (sort {$re->{$b} <=> $re->{$a}} keys %$re) { + my $efcount = $re->{$e}; + unless (defined $max) { $max = $efcount; } + my $m1 = $model1{$f}->{$e}; + unless (defined $m1) { next; } + $fc++; + my $dice = 2 * $efcount / ($ecounts{$e} + $fcounts{$f}); + my $feats = "F$fc=1"; + my $oe = $e; + my $of = $f; # normalized form + if ($IS_FRENCH_F) { + # see http://en.wikipedia.org/wiki/Use_of_the_circumflex_in_French + $of =~ s/â/as/g; + $of =~ s/ê/es/g; + $of =~ s/î/is/g; + $of =~ s/ô/os/g; + $of =~ s/û/us/g; + } elsif ($IS_ARABIC_F) { + if (length($of) > 1 && !($of =~ /\d/)) { + $of =~ s/\$/sh/g; + } + } elsif ($IS_URDU_F) { + if (length($of) > 1 && !($of =~ /\d/)) { + $of =~ s/\$/sh/g; + } + $oe =~ s/^-e-//; + $oe =~ s/^al-/al/; + $of =~ s/([a-z])\~/$1$1/g; + $of =~ s/E/'/g; + $of =~ s/^Aw/o/g; + $of =~ s/\|/a/g; + $of =~ s/@/h/g; + $of =~ s/c/ch/g; + $of =~ s/x/kh/g; + $of =~ s/\*/dh/g; + $of =~ s/w/o/g; + $of =~ s/Z/dh/g; + $of =~ s/y/i/g; + $of =~ s/Y/a/g; + $of = lc $of; + } + my $len_e = length($oe); + my $len_f = length($of); + $feats .= " Model1=$m1" if ($ADD_MODEL1); + $feats .= " Dice=$dice" if $ADD_DICE; + my $is_null = undef; + if ($ADD_NULL && $f eq '') { + $feats .= " IsNull=1"; + $is_null = 1; + } + if ($ADD_LEN) { + if (!$is_null) { + my $dlen = abs($len_e - $len_f); + $feats .= " DLen=$dlen"; + } + } + my $f_num = ($of =~ /^-?\d[0-9\.\,]+%?$/ && (length($of) > 3)); + my $e_num = ($oe =~ /^-?\d[0-9\.\,]+%?$/ && (length($oe) > 3)); + my $both_non_numeric = (!$e_num && !$f_num); + if ($ADD_NUM_MM && (($f_num && !$e_num) || ($e_num && !$f_num))) { + $feats .= " NumMM=1"; + } + if ($ADD_NUM_MM && ($f_num && $e_num) && ($oe eq $of)) { + $feats .= " NumMatch=1"; + } + if ($ADD_STEM_ID) { + my $el = 4; + my $fl = 4; + if ($oe =~ /^al|re|co/) { $el++; } + if ($of =~ /^al|re|co/) { $fl++; } + if ($oe =~ /^trans|inter/) { $el+=2; } + if ($of =~ /^trans|inter/) { $fl+=2; } + if ($fl > length($of)) { $fl = length($of); } + if ($el > length($oe)) { $el = length($oe); } + my $sf = substr $of, 0, $fl; + my $se = substr $oe, 0, $el; + my $id = $sdict{$sf}->{$se}; + if (!$id) { + $sids++; + $sdict{$sf}->{$se} = $sids; + $id = $sids; + print STDERR "S$sids 0\n" + } + $feats .= " S$id=1"; + } + if ($ADD_PREFIX_ID) { + if ($len_e > 3 && $len_f > 3 && $both_non_numeric) { + my $pe = substr $oe, 0, 3; + my $pf = substr $of, 0, 3; + if ($pe eq $pf) { $feats .= " PfxIdentical=1"; } + } + } + if ($ADD_SIM) { + my $ld = 0; + my $eff = $len_e; + if ($eff < $len_f) { $eff = $len_f; } + if (!$is_null) { + $ld = ($eff - levenshtein($oe, $of)) / sqrt($eff); + } + $feats .= " OrthoSim=$ld"; + } + my $ident = ($e eq $f); + if ($ident && $ADD_ID) { $feats .= " Identical=1"; } + if ($ADD_111 && ($efcount == 1 && $ecounts{$e} == 1 && $fcounts{$f} == 1)) { + if ($ident && $ADD_ID) { + $feats .= " Id_OneOneOne=1"; + } + $feats .= " OneOneOne=1"; + } + if ($ADD_PUNC) { + if (($f =~ /^[0-9!\$%,\-\/"':;=+?.()«»]+$/ && $e =~ /[a-z]+/) || + ($e =~ /^[0-9!\$%,\-\/"':;=+?.()«»]+$/ && $f =~ /[a-z]+/)) { + $feats .= " PuncMiss=1"; + } + } + my $r = (0.5 - rand)/5; + print STDERR "F$fc $r\n"; + print "$f ||| $e ||| $feats\n"; + } +} + +sub levenshtein +{ + # $s1 and $s2 are the two strings + # $len1 and $len2 are their respective lengths + # + my ($s1, $s2) = @_; + my ($len1, $len2) = (length $s1, length $s2); + + # If one of the strings is empty, the distance is the length + # of the other string + # + return $len2 if ($len1 == 0); + return $len1 if ($len2 == 0); + + my %mat; + + # Init the distance matrix + # + # The first row to 0..$len1 + # The first column to 0..$len2 + # The rest to 0 + # + # The first row and column are initialized so to denote distance + # from the empty string + # + for (my $i = 0; $i <= $len1; ++$i) + { + for (my $j = 0; $j <= $len2; ++$j) + { + $mat{$i}{$j} = 0; + $mat{0}{$j} = $j; + } + + $mat{$i}{0} = $i; + } + + # Some char-by-char processing is ahead, so prepare + # array of chars from the strings + # + my @ar1 = split(//, $s1); + my @ar2 = split(//, $s2); + + for (my $i = 1; $i <= $len1; ++$i) + { + for (my $j = 1; $j <= $len2; ++$j) + { + # Set the cost to 1 iff the ith char of $s1 + # equals the jth of $s2 + # + # Denotes a substitution cost. When the char are equal + # there is no need to substitute, so the cost is 0 + # + my $cost = ($ar1[$i-1] eq $ar2[$j-1]) ? 0 : 1; + + # Cell $mat{$i}{$j} equals the minimum of: + # + # - The cell immediately above plus 1 + # - The cell immediately to the left plus 1 + # - The cell diagonally above and to the left plus the cost + # + # We can either insert a new char, delete a char or + # substitute an existing char (with an associated cost) + # + $mat{$i}{$j} = min([$mat{$i-1}{$j} + 1, + $mat{$i}{$j-1} + 1, + $mat{$i-1}{$j-1} + $cost]); + } + } + + # Finally, the Levenshtein distance equals the rightmost bottom cell + # of the matrix + # + # Note that $mat{$x}{$y} denotes the distance between the substrings + # 1..$x and 1..$y + # + return $mat{$len1}{$len2}; +} + + +# minimal element of a list +# +sub min +{ + my @list = @{$_[0]}; + my $min = $list[0]; + + foreach my $i (@list) + { + $min = $i if ($i < $min); + } + + return $min; +} + diff --git a/training/model1.cc b/training/model1.cc new file mode 100644 index 00000000..f571700f --- /dev/null +++ b/training/model1.cc @@ -0,0 +1,103 @@ +#include + +#include "lattice.h" +#include "stringlib.h" +#include "filelib.h" +#include "ttables.h" +#include "tdict.h" + +using namespace std; + +int main(int argc, char** argv) { + if (argc != 2) { + cerr << "Usage: " << argv[0] << " corpus.fr-en\n"; + return 1; + } + const int ITERATIONS = 5; + const prob_t BEAM_THRESHOLD(0.0001); + TTable tt; + const WordID kNULL = TD::Convert(""); + bool use_null = true; + TTable::Word2Word2Double was_viterbi; + for (int iter = 0; iter < ITERATIONS; ++iter) { + const bool final_iteration = (iter == (ITERATIONS - 1)); + cerr << "ITERATION " << (iter + 1) << (final_iteration ? " (FINAL)" : "") << endl; + ReadFile rf(argv[1]); + istream& in = *rf.stream(); + prob_t likelihood = prob_t::One(); + double denom = 0.0; + int lc = 0; + bool flag = false; + while(true) { + string line; + getline(in, line); + if (!in) break; + ++lc; + if (lc % 1000 == 0) { cerr << '.'; flag = true; } + if (lc %50000 == 0) { cerr << " [" << lc << "]\n" << flush; flag = false; } + string ssrc, strg; + ParseTranslatorInput(line, &ssrc, &strg); + Lattice src, trg; + LatticeTools::ConvertTextToLattice(ssrc, &src); + LatticeTools::ConvertTextToLattice(strg, &trg); + assert(src.size() > 0); + assert(trg.size() > 0); + denom += 1.0; + vector probs(src.size() + 1); + for (int j = 0; j < trg.size(); ++j) { + const WordID& f_j = trg[j][0].label; + prob_t sum = prob_t::Zero(); + if (use_null) { + probs[0] = tt.prob(kNULL, f_j); + sum += probs[0]; + } + for (int i = 1; i <= src.size(); ++i) { + probs[i] = tt.prob(src[i-1][0].label, f_j); + sum += probs[i]; + } + if (final_iteration) { + WordID max_i = 0; + prob_t max_p = prob_t::Zero(); + if (use_null) { + max_i = kNULL; + max_p = probs[0]; + } + for (int i = 1; i <= src.size(); ++i) { + if (probs[i] > max_p) { + max_p = probs[i]; + max_i = src[i-1][0].label; + } + } + was_viterbi[max_i][f_j] = 1.0; + } else { + if (use_null) + tt.Increment(kNULL, f_j, probs[0] / sum); + for (int i = 1; i <= src.size(); ++i) + tt.Increment(src[i-1][0].label, f_j, probs[i] / sum); + } + likelihood *= sum; + } + } + if (flag) { cerr << endl; } + cerr << " log likelihood: " << log(likelihood) << endl; + cerr << " cross entopy: " << (-log(likelihood) / denom) << endl; + cerr << " perplexity: " << pow(2.0, -log(likelihood) / denom) << endl; + if (!final_iteration) tt.Normalize(); + } + for (TTable::Word2Word2Double::iterator ei = tt.ttable.begin(); ei != tt.ttable.end(); ++ei) { + const TTable::Word2Double& cpd = ei->second; + const TTable::Word2Double& vit = was_viterbi[ei->first]; + const string& esym = TD::Convert(ei->first); + prob_t max_p = prob_t::Zero(); + for (TTable::Word2Double::const_iterator fi = cpd.begin(); fi != cpd.end(); ++fi) + if (fi->second > max_p) max_p = prob_t(fi->second); + const prob_t threshold = max_p * BEAM_THRESHOLD; + for (TTable::Word2Double::const_iterator fi = cpd.begin(); fi != cpd.end(); ++fi) { + if (fi->second > threshold || (vit.count(fi->first) > 0)) { + cout << esym << ' ' << TD::Convert(fi->first) << ' ' << log(fi->second) << endl; + } + } + } + return 0; +} + diff --git a/training/mr_em_adapted_reduce.cc b/training/mr_em_adapted_reduce.cc new file mode 100644 index 00000000..52387e7f --- /dev/null +++ b/training/mr_em_adapted_reduce.cc @@ -0,0 +1,194 @@ +#include +#include +#include +#include + +#include +#include + +#include "config.h" +#ifdef HAVE_BOOST_DIGAMMA +#include +using boost::math::digamma; +#endif + +#include "filelib.h" +#include "fdict.h" +#include "weights.h" +#include "sparse_vector.h" + +using namespace std; +namespace po = boost::program_options; + +#ifndef HAVE_BOOST_DIGAMMA +#warning Using Mark Johnsons digamma() +double digamma(double x) { + double result = 0, xx, xx2, xx4; + assert(x > 0); + for ( ; x < 7; ++x) + result -= 1/x; + x -= 1.0/2.0; + xx = 1.0/x; + xx2 = xx*xx; + xx4 = xx2*xx2; + result += log(x)+(1./24.)*xx2-(7.0/960.0)*xx4+(31.0/8064.0)*xx4*xx2-(127.0/30720.0)*xx4*xx4; + return result; +} +#endif + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("optimization_method,m", po::value()->default_value("em"), "Optimization method (em, vb)") + ("input_format,f",po::value()->default_value("b64"),"Encoding of the input (b64 or text)"); + po::options_description clo("Command line options"); + clo.add_options() + ("config", po::value(), "Configuration file") + ("help,h", "Print this help message and exit"); + po::options_description dconfig_options, dcmdline_options; + dconfig_options.add(opts); + dcmdline_options.add(opts).add(clo); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + if (conf->count("config")) { + ifstream config((*conf)["config"].as().c_str()); + po::store(po::parse_config_file(config, dconfig_options), *conf); + } + po::notify(*conf); + + if (conf->count("help")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +double NoZero(const double& x) { + if (x) return x; + return 1e-35; +} + +void Maximize(const bool use_vb, + const double& alpha, + const int total_event_types, + SparseVector* pc) { + const SparseVector& counts = *pc; + + if (use_vb) + assert(total_event_types >= counts.num_active()); + + double tot = 0; + for (SparseVector::const_iterator it = counts.begin(); + it != counts.end(); ++it) + tot += it->second; +// cerr << " = " << tot << endl; + assert(tot > 0.0); + double ltot = log(tot); + if (use_vb) + ltot = digamma(tot + total_event_types * alpha); + for (SparseVector::const_iterator it = counts.begin(); + it != counts.end(); ++it) { + if (use_vb) { + pc->set_value(it->first, NoZero(digamma(it->second + alpha) - ltot)); + } else { + pc->set_value(it->first, NoZero(log(it->second) - ltot)); + } + } +#if 0 + if (counts.num_active() < 50) { + for (SparseVector::const_iterator it = counts.begin(); + it != counts.end(); ++it) { + cerr << " p(" << FD::Convert(it->first) << ")=" << exp(it->second); + } + cerr << endl; + } +#endif +} + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + + const bool use_b64 = conf["input_format"].as() == "b64"; + const bool use_vb = conf["optimization_method"].as() == "vb"; + const double alpha = 1e-09; + if (use_vb) + cerr << "Using variational Bayes, make sure alphas are set\n"; + + const string s_obj = "**OBJ**"; + // E-step + string cur_key = ""; + SparseVector acc; + double logprob = 0; + while(cin) { + string line; + getline(cin, line); + if (line.empty()) continue; + int feat; + double val; + size_t i = line.find("\t"); + const string key = line.substr(0, i); + assert(i != string::npos); + ++i; + if (key != cur_key) { + if (cur_key.size() > 0) { + // TODO shouldn't be num_active, should be total number + // of events + Maximize(use_vb, alpha, acc.num_active(), &acc); + cout << cur_key << '\t'; + if (use_b64) + B64::Encode(0.0, acc, &cout); + else + cout << acc; + cout << endl; + acc.clear(); + } + cur_key = key; + } + if (use_b64) { + SparseVector g; + double obj; + if (!B64::Decode(&obj, &g, &line[i], line.size() - i)) { + cerr << "B64 decoder returned error, skipping!\n"; + continue; + } + logprob += obj; + acc += g; + } else { // text encoding - your counts will not be accurate! + while (i < line.size()) { + size_t start = i; + while (line[i] != '=' && i < line.size()) ++i; + if (i == line.size()) { cerr << "FORMAT ERROR\n"; break; } + string fname = line.substr(start, i - start); + if (fname == s_obj) { + feat = -1; + } else { + feat = FD::Convert(line.substr(start, i - start)); + } + ++i; + start = i; + while (line[i] != ';' && i < line.size()) ++i; + if (i - start == 0) continue; + val = atof(line.substr(start, i - start).c_str()); + ++i; + if (feat == -1) { + logprob += val; + } else { + acc.add_value(feat, val); + } + } + } + } + // TODO shouldn't be num_active, should be total number + // of events + Maximize(use_vb, alpha, acc.num_active(), &acc); + cout << cur_key << '\t'; + if (use_b64) + B64::Encode(0.0, acc, &cout); + else + cout << acc; + cout << endl << flush; + + cerr << "LOGPROB: " << logprob << endl; + + return 0; +} diff --git a/training/mr_em_map_adapter.cc b/training/mr_em_map_adapter.cc new file mode 100644 index 00000000..a98e1b77 --- /dev/null +++ b/training/mr_em_map_adapter.cc @@ -0,0 +1,160 @@ +#include +#include +#include +#include + +#include +#include +#include +#include "boost/tuple/tuple.hpp" + +#include "fdict.h" +#include "sparse_vector.h" + +using namespace std; +namespace po = boost::program_options; + +// useful for EM models parameterized by a bunch of multinomials +// this converts event counts (returned from cdec as feature expectations) +// into different keys and values (which are lists of all the events, +// conditioned on the key) for summing and normalization by a reducer + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("buffer_size,b", po::value()->default_value(1), "Buffer size (in # of counts) before emitting counts") + ("format,f",po::value()->default_value("b64"), "Encoding of the input (b64 or text)"); + po::options_description clo("Command line options"); + clo.add_options() + ("config", po::value(), "Configuration file") + ("help,h", "Print this help message and exit"); + po::options_description dconfig_options, dcmdline_options; + dconfig_options.add(opts); + dcmdline_options.add(opts).add(clo); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + if (conf->count("config")) { + ifstream config((*conf)["config"].as().c_str()); + po::store(po::parse_config_file(config, dconfig_options), *conf); + } + po::notify(*conf); + + if (conf->count("help")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +struct EventMapper { + int Map(int fid) { + int& cv = map_[fid]; + if (!cv) { + cv = GetConditioningVariable(fid); + } + return cv; + } + void Clear() { map_.clear(); } + protected: + virtual int GetConditioningVariable(int fid) const = 0; + private: + map map_; +}; + +struct LexAlignEventMapper : public EventMapper { + protected: + virtual int GetConditioningVariable(int fid) const { + const string& str = FD::Convert(fid); + size_t pos = str.rfind("_"); + if (pos == string::npos || pos == 0 || pos >= str.size() - 1) { + cerr << "Bad feature for EM adapter: " << str << endl; + abort(); + } + return FD::Convert(str.substr(0, pos)); + } +}; + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + + const bool use_b64 = conf["format"].as() == "b64"; + const int buffer_size = conf["buffer_size"].as(); + + const string s_obj = "**OBJ**"; + // 0**OBJ**=12.2;Feat1=2.3;Feat2=-0.2; + // 0**OBJ**=1.1;Feat1=1.0; + + EventMapper* event_mapper = new LexAlignEventMapper; + map > counts; + size_t total = 0; + while(cin) { + string line; + getline(cin, line); + if (line.empty()) continue; + int feat; + double val; + size_t i = line.find("\t"); + assert(i != string::npos); + ++i; + SparseVector g; + double obj = 0; + if (use_b64) { + if (!B64::Decode(&obj, &g, &line[i], line.size() - i)) { + cerr << "B64 decoder returned error, skipping!\n"; + continue; + } + } else { // text encoding - your counts will not be accurate! + while (i < line.size()) { + size_t start = i; + while (line[i] != '=' && i < line.size()) ++i; + if (i == line.size()) { cerr << "FORMAT ERROR\n"; break; } + string fname = line.substr(start, i - start); + if (fname == s_obj) { + feat = -1; + } else { + feat = FD::Convert(line.substr(start, i - start)); + } + ++i; + start = i; + while (line[i] != ';' && i < line.size()) ++i; + if (i - start == 0) continue; + val = atof(line.substr(start, i - start).c_str()); + ++i; + if (feat == -1) { + obj = val; + } else { + g.set_value(feat, val); + } + } + } + //cerr << "OBJ: " << obj << endl; + const SparseVector& cg = g; + for (SparseVector::const_iterator it = cg.begin(); it != cg.end(); ++it) { + const int cond_var = event_mapper->Map(it->first); + SparseVector& cond_counts = counts[cond_var]; + int delta = cond_counts.num_active(); + cond_counts.add_value(it->first, it->second); + delta = cond_counts.num_active() - delta; + total += delta; + } + if (total > buffer_size) { + for (map >::iterator it = counts.begin(); + it != counts.end(); ++it) { + const SparseVector& cc = it->second; + cout << FD::Convert(it->first) << '\t'; + if (use_b64) { + B64::Encode(0.0, cc, &cout); + } else { + abort(); + } + cout << endl; + } + cout << flush; + total = 0; + counts.clear(); + } + } + + return 0; +} + diff --git a/training/mr_optimize_reduce.cc b/training/mr_optimize_reduce.cc new file mode 100644 index 00000000..42727ecb --- /dev/null +++ b/training/mr_optimize_reduce.cc @@ -0,0 +1,243 @@ +#include +#include +#include +#include +#include +#include + +#include +#include +#include + +#include "optimize.h" +#include "fdict.h" +#include "weights.h" +#include "sparse_vector.h" + +using namespace std; +using boost::shared_ptr; +namespace po = boost::program_options; + +void SanityCheck(const vector& w) { + for (int i = 0; i < w.size(); ++i) { + assert(!isnan(w[i])); + assert(!isinf(w[i])); + } +} + +struct FComp { + const vector& w_; + FComp(const vector& w) : w_(w) {} + bool operator()(int a, int b) const { + return fabs(w_[a]) > fabs(w_[b]); + } +}; + +void ShowLargestFeatures(const vector& w) { + vector fnums(w.size()); + for (int i = 0; i < w.size(); ++i) + fnums[i] = i; + vector::iterator mid = fnums.begin(); + mid += (w.size() > 10 ? 10 : w.size()); + partial_sort(fnums.begin(), mid, fnums.end(), FComp(w)); + cerr << "TOP FEATURES:"; + for (vector::iterator i = fnums.begin(); i != mid; ++i) { + cerr << ' ' << FD::Convert(*i) << '=' << w[*i]; + } + cerr << endl; +} + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("input_weights,i",po::value(),"Input feature weights file") + ("output_weights,o",po::value()->default_value("-"),"Output feature weights file") + ("optimization_method,m", po::value()->default_value("lbfgs"), "Optimization method (sgd, lbfgs, rprop)") + ("state,s",po::value(),"Read (and write if output_state is not set) optimizer state from this state file. In the first iteration, the file should not exist.") + ("input_format,f",po::value()->default_value("b64"),"Encoding of the input (b64 or text)") + ("output_state,S", po::value(), "Output state file (optional override)") + ("correction_buffers,M", po::value()->default_value(10), "Number of gradients for LBFGS to maintain in memory") + ("eta,e", po::value()->default_value(0.1), "Learning rate for SGD (eta)") + ("gaussian_prior,p","Use a Gaussian prior on the weights") + ("means,u", po::value(), "File containing the means for Gaussian prior") + ("sigma_squared", po::value()->default_value(1.0), "Sigma squared term for spherical Gaussian prior"); + po::options_description clo("Command line options"); + clo.add_options() + ("config", po::value(), "Configuration file") + ("help,h", "Print this help message and exit"); + po::options_description dconfig_options, dcmdline_options; + dconfig_options.add(opts); + dcmdline_options.add(opts).add(clo); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + if (conf->count("config")) { + ifstream config((*conf)["config"].as().c_str()); + po::store(po::parse_config_file(config, dconfig_options), *conf); + } + po::notify(*conf); + + if (conf->count("help") || !conf->count("input_weights") || !conf->count("state")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + + const bool use_b64 = conf["input_format"].as() == "b64"; + + Weights weights; + weights.InitFromFile(conf["input_weights"].as()); + const string s_obj = "**OBJ**"; + int num_feats = FD::NumFeats(); + cerr << "Number of features: " << num_feats << endl; + const bool gaussian_prior = conf.count("gaussian_prior"); + vector means(num_feats, 0); + if (conf.count("means")) { + if (!gaussian_prior) { + cerr << "Don't use --means without --gaussian_prior!\n"; + exit(1); + } + Weights wm; + wm.InitFromFile(conf["means"].as()); + if (num_feats != FD::NumFeats()) { + cerr << "[ERROR] Means file had unexpected features!\n"; + exit(1); + } + wm.InitVector(&means); + } + shared_ptr o; + const string omethod = conf["optimization_method"].as(); + if (omethod == "sgd") + o.reset(new SGDOptimizer(conf["eta"].as())); + else if (omethod == "rprop") + o.reset(new RPropOptimizer(num_feats)); // TODO add configuration + else + o.reset(new LBFGSOptimizer(num_feats, conf["correction_buffers"].as())); + cerr << "Optimizer: " << o->Name() << endl; + string state_file = conf["state"].as(); + { + ifstream in(state_file.c_str(), ios::binary); + if (in) + o->Load(&in); + else + cerr << "No state file found, assuming ITERATION 1\n"; + } + + vector lambdas(num_feats, 0); + weights.InitVector(&lambdas); + double objective = 0; + vector gradient(num_feats, 0); + // 0**OBJ**=12.2;Feat1=2.3;Feat2=-0.2; + // 0**OBJ**=1.1;Feat1=1.0; + int total_lines = 0; // TODO - this should be a count of the + // training instances!! + while(cin) { + string line; + getline(cin, line); + if (line.empty()) continue; + ++total_lines; + int feat; + double val; + size_t i = line.find("\t"); + assert(i != string::npos); + ++i; + if (use_b64) { + SparseVector g; + double obj; + if (!B64::Decode(&obj, &g, &line[i], line.size() - i)) { + cerr << "B64 decoder returned error, skipping gradient!\n"; + cerr << " START: " << line.substr(0,line.size() > 200 ? 200 : line.size()) << endl; + if (line.size() > 200) + cerr << " END: " << line.substr(line.size() - 200, 200) << endl; + cout << "-1\tRESTART\n"; + exit(99); + } + objective += obj; + const SparseVector& cg = g; + for (SparseVector::const_iterator it = cg.begin(); it != cg.end(); ++it) { + if (it->first >= num_feats) { + cerr << "Unexpected feature in gradient: " << FD::Convert(it->first) << endl; + abort(); + } + gradient[it->first] -= it->second; + } + } else { // text encoding - your gradients will not be accurate! + while (i < line.size()) { + size_t start = i; + while (line[i] != '=' && i < line.size()) ++i; + if (i == line.size()) { cerr << "FORMAT ERROR\n"; break; } + string fname = line.substr(start, i - start); + if (fname == s_obj) { + feat = -1; + } else { + feat = FD::Convert(line.substr(start, i - start)); + if (feat >= num_feats) { + cerr << "Unexpected feature in gradient: " << line.substr(start, i - start) << endl; + abort(); + } + } + ++i; + start = i; + while (line[i] != ';' && i < line.size()) ++i; + if (i - start == 0) continue; + val = atof(line.substr(start, i - start).c_str()); + ++i; + if (feat == -1) { + objective += val; + } else { + gradient[feat] -= val; + } + } + } + } + + if (gaussian_prior) { + const double sigsq = conf["sigma_squared"].as(); + double norm = 0; + for (int k = 1; k < lambdas.size(); ++k) { + const double& lambda_k = lambdas[k]; + if (lambda_k) { + const double param = (lambda_k - means[k]); + norm += param * param; + gradient[k] += param / sigsq; + } + } + const double reg = norm / (2.0 * sigsq); + cerr << "REGULARIZATION TERM: " << reg << endl; + objective += reg; + } + cerr << "EVALUATION #" << o->EvaluationCount() << " OBJECTIVE: " << objective << endl; + double gnorm = 0; + for (int i = 0; i < gradient.size(); ++i) + gnorm += gradient[i] * gradient[i]; + cerr << " GNORM=" << sqrt(gnorm) << endl; + vector old = lambdas; + int c = 0; + while (old == lambdas) { + ++c; + if (c > 1) { cerr << "Same lambdas, repeating optimization\n"; } + o->Optimize(objective, gradient, &lambdas); + assert(c < 5); + } + old.clear(); + SanityCheck(lambdas); + ShowLargestFeatures(lambdas); + weights.InitFromVector(lambdas); + weights.WriteToFile(conf["output_weights"].as(), false); + + const bool conv = o->HasConverged(); + if (conv) { cerr << "OPTIMIZER REPORTS CONVERGENCE!\n"; } + + if (conf.count("output_state")) + state_file = conf["output_state"].as(); + ofstream out(state_file.c_str(), ios::binary); + cerr << "Writing state to: " << state_file << endl; + o->Save(&out); + out.close(); + + cout << o->EvaluationCount() << "\t" << conv << endl; + return 0; +} diff --git a/training/mr_reduce_to_weights.cc b/training/mr_reduce_to_weights.cc new file mode 100644 index 00000000..16b47720 --- /dev/null +++ b/training/mr_reduce_to_weights.cc @@ -0,0 +1,109 @@ +#include +#include +#include +#include + +#include +#include + +#include "filelib.h" +#include "fdict.h" +#include "weights.h" +#include "sparse_vector.h" + +using namespace std; +namespace po = boost::program_options; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("input_format,f",po::value()->default_value("b64"),"Encoding of the input (b64 or text)") + ("input,i",po::value()->default_value("-"),"Read file from") + ("output,o",po::value()->default_value("-"),"Write weights to"); + po::options_description clo("Command line options"); + clo.add_options() + ("config", po::value(), "Configuration file") + ("help,h", "Print this help message and exit"); + po::options_description dconfig_options, dcmdline_options; + dconfig_options.add(opts); + dcmdline_options.add(opts).add(clo); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + if (conf->count("config")) { + ifstream config((*conf)["config"].as().c_str()); + po::store(po::parse_config_file(config, dconfig_options), *conf); + } + po::notify(*conf); + + if (conf->count("help")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +void WriteWeights(const SparseVector& weights, ostream* out) { + for (SparseVector::const_iterator it = weights.begin(); + it != weights.end(); ++it) { + (*out) << FD::Convert(it->first) << " " << it->second << endl; + } +} + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + + const bool use_b64 = conf["input_format"].as() == "b64"; + + const string s_obj = "**OBJ**"; + // E-step + ReadFile rf(conf["input"].as()); + istream* in = rf.stream(); + assert(*in); + WriteFile wf(conf["output"].as()); + ostream* out = wf.stream(); + out->precision(17); + while(*in) { + string line; + getline(*in, line); + if (line.empty()) continue; + int feat; + double val; + size_t i = line.find("\t"); + assert(i != string::npos); + ++i; + if (use_b64) { + SparseVector g; + double obj; + if (!B64::Decode(&obj, &g, &line[i], line.size() - i)) { + cerr << "B64 decoder returned error, skipping!\n"; + continue; + } + WriteWeights(g, out); + } else { // text encoding - your counts will not be accurate! + SparseVector weights; + while (i < line.size()) { + size_t start = i; + while (line[i] != '=' && i < line.size()) ++i; + if (i == line.size()) { cerr << "FORMAT ERROR\n"; break; } + string fname = line.substr(start, i - start); + if (fname == s_obj) { + feat = -1; + } else { + feat = FD::Convert(line.substr(start, i - start)); + } + ++i; + start = i; + while (line[i] != ';' && i < line.size()) ++i; + if (i - start == 0) continue; + val = atof(line.substr(start, i - start).c_str()); + ++i; + if (feat != -1) { + weights.set_value(feat, val); + } + } + WriteWeights(weights, out); + } + } + + return 0; +} diff --git a/training/optimize.cc b/training/optimize.cc new file mode 100644 index 00000000..5194752e --- /dev/null +++ b/training/optimize.cc @@ -0,0 +1,114 @@ +#include "optimize.h" + +#include +#include + +#include "lbfgs.h" + +using namespace std; + +Optimizer::~Optimizer() {} + +void Optimizer::Save(ostream* out) const { + out->write((const char*)&eval_, sizeof(eval_)); + out->write((const char*)&has_converged_, sizeof(has_converged_)); + SaveImpl(out); + unsigned int magic = 0xABCDDCBA; // should be uint32_t + out->write((const char*)&magic, sizeof(magic)); +} + +void Optimizer::Load(istream* in) { + in->read((char*)&eval_, sizeof(eval_)); + ++eval_; + in->read((char*)&has_converged_, sizeof(has_converged_)); + LoadImpl(in); + unsigned int magic = 0; // should be uint32_t + in->read((char*)&magic, sizeof(magic)); + assert(magic == 0xABCDDCBA); + cerr << Name() << " EVALUATION #" << eval_ << endl; +} + +void Optimizer::SaveImpl(ostream* out) const { + (void)out; +} + +void Optimizer::LoadImpl(istream* in) { + (void)in; +} + +string RPropOptimizer::Name() const { + return "RPropOptimizer"; +} + +void RPropOptimizer::OptimizeImpl(const double& obj, + const vector& g, + vector* x) { + for (int i = 0; i < g.size(); ++i) { + const double g_i = g[i]; + const double sign_i = (signbit(g_i) ? -1.0 : 1.0); + const double prod = g_i * prev_g_[i]; + if (prod > 0.0) { + const double dij = min(delta_ij_[i] * eta_plus_, delta_max_); + (*x)[i] -= dij * sign_i; + delta_ij_[i] = dij; + prev_g_[i] = g_i; + } else if (prod < 0.0) { + delta_ij_[i] = max(delta_ij_[i] * eta_minus_, delta_min_); + prev_g_[i] = 0.0; + } else { + (*x)[i] -= delta_ij_[i] * sign_i; + prev_g_[i] = g_i; + } + } +} + +void RPropOptimizer::SaveImpl(ostream* out) const { + const size_t n = prev_g_.size(); + out->write((const char*)&n, sizeof(n)); + out->write((const char*)&prev_g_[0], sizeof(double) * n); + out->write((const char*)&delta_ij_[0], sizeof(double) * n); +} + +void RPropOptimizer::LoadImpl(istream* in) { + size_t n; + in->read((char*)&n, sizeof(n)); + assert(n == prev_g_.size()); + assert(n == delta_ij_.size()); + in->read((char*)&prev_g_[0], sizeof(double) * n); + in->read((char*)&delta_ij_[0], sizeof(double) * n); +} + +string SGDOptimizer::Name() const { + return "SGDOptimizer"; +} + +void SGDOptimizer::OptimizeImpl(const double& obj, + const vector& g, + vector* x) { + (void)obj; + for (int i = 0; i < g.size(); ++i) + (*x)[i] -= g[i] * eta_; +} + +string LBFGSOptimizer::Name() const { + return "LBFGSOptimizer"; +} + +LBFGSOptimizer::LBFGSOptimizer(int num_feats, int memory_buffers) : + opt_(num_feats, memory_buffers) {} + +void LBFGSOptimizer::SaveImpl(ostream* out) const { + opt_.serialize(out); +} + +void LBFGSOptimizer::LoadImpl(istream* in) { + opt_.deserialize(in); +} + +void LBFGSOptimizer::OptimizeImpl(const double& obj, + const vector& g, + vector* x) { + opt_.run(&(*x)[0], obj, &g[0]); + cerr << opt_ << endl; +} + diff --git a/training/optimize.h b/training/optimize.h new file mode 100644 index 00000000..eddceaad --- /dev/null +++ b/training/optimize.h @@ -0,0 +1,104 @@ +#ifndef _OPTIMIZE_H_ +#define _OPTIMIZE_H_ + +#include +#include +#include +#include + +#include "lbfgs.h" + +// abstract base class for first order optimizers +// order of invocation: new, Load(), Optimize(), Save(), delete +class Optimizer { + public: + Optimizer() : eval_(1), has_converged_(false) {} + virtual ~Optimizer(); + virtual std::string Name() const = 0; + int EvaluationCount() const { return eval_; } + bool HasConverged() const { return has_converged_; } + + void Optimize(const double& obj, + const std::vector& g, + std::vector* x) { + assert(g.size() == x->size()); + OptimizeImpl(obj, g, x); + scitbx::lbfgs::traditional_convergence_test converged(g.size()); + has_converged_ = converged(&(*x)[0], &g[0]); + } + + void Save(std::ostream* out) const; + void Load(std::istream* in); + protected: + virtual void SaveImpl(std::ostream* out) const; + virtual void LoadImpl(std::istream* in); + virtual void OptimizeImpl(const double& obj, + const std::vector& g, + std::vector* x) = 0; + + int eval_; + private: + bool has_converged_; +}; + +class RPropOptimizer : public Optimizer { + public: + explicit RPropOptimizer(int num_vars, + double eta_plus = 1.2, + double eta_minus = 0.5, + double delta_0 = 0.1, + double delta_max = 50.0, + double delta_min = 1e-6) : + prev_g_(num_vars, 0.0), + delta_ij_(num_vars, delta_0), + eta_plus_(eta_plus), + eta_minus_(eta_minus), + delta_max_(delta_max), + delta_min_(delta_min) { + assert(eta_plus > 1.0); + assert(eta_minus > 0.0 && eta_minus < 1.0); + assert(delta_max > 0.0); + assert(delta_min > 0.0); + } + std::string Name() const; + void OptimizeImpl(const double& obj, + const std::vector& g, + std::vector* x); + void SaveImpl(std::ostream* out) const; + void LoadImpl(std::istream* in); + private: + std::vector prev_g_; + std::vector delta_ij_; + const double eta_plus_; + const double eta_minus_; + const double delta_max_; + const double delta_min_; +}; + +class SGDOptimizer : public Optimizer { + public: + explicit SGDOptimizer(int num_vars, double eta = 0.1) : eta_(eta) { + (void) num_vars; + } + std::string Name() const; + void OptimizeImpl(const double& obj, + const std::vector& g, + std::vector* x); + private: + const double eta_; +}; + +class LBFGSOptimizer : public Optimizer { + public: + explicit LBFGSOptimizer(int num_vars, int memory_buffers = 10); + std::string Name() const; + void SaveImpl(std::ostream* out) const; + void LoadImpl(std::istream* in); + void OptimizeImpl(const double& obj, + const std::vector& g, + std::vector* x); + private: + scitbx::lbfgs::minimizer opt_; +}; + +#endif diff --git a/training/optimize_test.cc b/training/optimize_test.cc new file mode 100644 index 00000000..0ada7cbb --- /dev/null +++ b/training/optimize_test.cc @@ -0,0 +1,105 @@ +#include +#include +#include +#include +#include "optimize.h" +#include "sparse_vector.h" +#include "fdict.h" + +using namespace std; + +double TestOptimizer(Optimizer* opt) { + cerr << "TESTING NON-PERSISTENT OPTIMIZER\n"; + + // f(x,y) = 4x1^2 + x1*x2 + x2^2 + x3^2 + 6x3 + 5 + // df/dx1 = 8*x1 + x2 + // df/dx2 = 2*x2 + x1 + // df/dx3 = 2*x3 + 6 + vector x(3); + vector g(3); + x[0] = 8; + x[1] = 8; + x[2] = 8; + double obj = 0; + do { + g[0] = 8 * x[0] + x[1]; + g[1] = 2 * x[1] + x[0]; + g[2] = 2 * x[2] + 6; + obj = 4 * x[0]*x[0] + x[0] * x[1] + x[1]*x[1] + x[2]*x[2] + 6 * x[2] + 5; + opt->Optimize(obj, g, &x); + + cerr << x[0] << " " << x[1] << " " << x[2] << endl; + cerr << " obj=" << obj << "\td/dx1=" << g[0] << " d/dx2=" << g[1] << " d/dx3=" << g[2] << endl; + } while (!opt->HasConverged()); + return obj; +} + +double TestPersistentOptimizer(Optimizer* opt) { + cerr << "\nTESTING PERSISTENT OPTIMIZER\n"; + // f(x,y) = 4x1^2 + x1*x2 + x2^2 + x3^2 + 6x3 + 5 + // df/dx1 = 8*x1 + x2 + // df/dx2 = 2*x2 + x1 + // df/dx3 = 2*x3 + 6 + vector x(3); + vector g(3); + x[0] = 8; + x[1] = 8; + x[2] = 8; + double obj = 0; + string state; + bool converged = false; + while (!converged) { + g[0] = 8 * x[0] + x[1]; + g[1] = 2 * x[1] + x[0]; + g[2] = 2 * x[2] + 6; + obj = 4 * x[0]*x[0] + x[0] * x[1] + x[1]*x[1] + x[2]*x[2] + 6 * x[2] + 5; + + { + if (state.size() > 0) { + istringstream is(state, ios::binary); + opt->Load(&is); + } + opt->Optimize(obj, g, &x); + ostringstream os(ios::binary); opt->Save(&os); state = os.str(); + + } + + cerr << x[0] << " " << x[1] << " " << x[2] << endl; + cerr << " obj=" << obj << "\td/dx1=" << g[0] << " d/dx2=" << g[1] << " d/dx3=" << g[2] << endl; + converged = opt->HasConverged(); + if (!converged) { + // now screw up the state (should be undone by Load) + obj += 2.0; + g[1] = -g[2]; + vector x2 = x; + try { + opt->Optimize(obj, g, &x2); + } catch (...) { } + } + } + return obj; +} + +template +void TestOptimizerVariants(int num_vars) { + O oa(num_vars); + cerr << "-------------------------------------------------------------------------\n"; + cerr << "TESTING: " << oa.Name() << endl; + double o1 = TestOptimizer(&oa); + O ob(num_vars); + double o2 = TestPersistentOptimizer(&ob); + if (o1 != o2) { + cerr << oa.Name() << " VARIANTS PERFORMED DIFFERENTLY!\n" << o1 << " vs. " << o2 << endl; + exit(1); + } + cerr << oa.Name() << " SUCCESS\n"; +} + +int main() { + int n = 3; + TestOptimizerVariants(n); + TestOptimizerVariants(n); + TestOptimizerVariants(n); + return 0; +} + diff --git a/training/plftools.cc b/training/plftools.cc new file mode 100644 index 00000000..903ec54f --- /dev/null +++ b/training/plftools.cc @@ -0,0 +1,93 @@ +#include +#include +#include + +#include +#include + +#include "filelib.h" +#include "tdict.h" +#include "prob.h" +#include "hg.h" +#include "hg_io.h" +#include "viterbi.h" +#include "kbest.h" + +namespace po = boost::program_options; +using namespace std; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("input,i", po::value(), "REQ. Lattice input file (PLF), - for STDIN") + ("prior_scale,p", po::value()->default_value(1.0), "Scale path probabilities by this amount < 1 flattens, > 1 sharpens") + ("weight,w", po::value >(), "Weight(s) for arc features") + ("output,o", po::value()->default_value("plf"), "Output format (text, plf)") + ("command,c", po::value()->default_value("push"), "Operation to perform: push, graphviz, 1best, 2best ...") + ("help,h", "Print this help message and exit"); + po::options_description clo("Command line options"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + po::notify(*conf); + + if (conf->count("help") || conf->count("input") == 0) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +int main(int argc, char **argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + string infile = conf["input"].as(); + ReadFile rf(infile); + istream* in = rf.stream(); + assert(*in); + SparseVector wts; + vector wv; + if (conf.count("weight") > 0) wv = conf["weight"].as >(); + if (wv.empty()) wv.push_back(1.0); + for (int i = 0; i < wv.size(); ++i) { + const string fname = "Feature_" + boost::lexical_cast(i); + cerr << "[INFO] Arc weight " << (i+1) << " = " << wv[i] << endl; + wts.set_value(FD::Convert(fname), wv[i]); + } + const string cmd = conf["command"].as(); + const bool push_weights = cmd == "push"; + const bool output_plf = cmd == "plf"; + const bool graphviz = cmd == "graphviz"; + const bool kbest = cmd.rfind("best") == (cmd.size() - 4) && cmd.size() > 4; + int k = 1; + if (kbest) { + k = boost::lexical_cast(cmd.substr(0, cmd.size() - 4)); + cerr << "KBEST = " << k << endl; + } + const double scale = conf["prior_scale"].as(); + int lc = 0; + while(*in) { + ++lc; + string plf; + getline(*in, plf); + if (plf.empty()) continue; + Hypergraph hg; + HypergraphIO::ReadFromPLF(plf, &hg); + hg.Reweight(wts); + if (graphviz) hg.PrintGraphviz(); + if (push_weights) hg.PushWeightsToSource(scale); + if (output_plf) { + cout << HypergraphIO::AsPLF(hg) << endl; + } else { + KBest::KBestDerivations, ESentenceTraversal> kbest(hg, k); + for (int i = 0; i < k; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest.LazyKthBest(hg.nodes_.size() - 1, i); + if (!d) break; + cout << lc << " ||| " << TD::GetString(d->yield) << " ||| " << d->score << endl; + } + } + } + return 0; +} + diff --git a/vest/Makefile.am b/vest/Makefile.am new file mode 100644 index 00000000..6815ae75 --- /dev/null +++ b/vest/Makefile.am @@ -0,0 +1,35 @@ +bin_PROGRAMS = \ + mbr_kbest \ + mr_vest_map \ + mr_vest_reduce \ + mr_vest_generate_mapper_input \ + fast_score + +if HAVE_GTEST +noinst_PROGRAMS = \ + scorer_test \ + lo_test +endif + +mbr_kbest_SOURCES = mbr_kbest.cc ter.cc comb_scorer.cc aer_scorer.cc scorer.cc viterbi_envelope.cc +mbr_kbest_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +fast_score_SOURCES = fast_score.cc ter.cc comb_scorer.cc aer_scorer.cc scorer.cc viterbi_envelope.cc +fast_score_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +mr_vest_generate_mapper_input_SOURCES = mr_vest_generate_mapper_input.cc line_optimizer.cc +mr_vest_generate_mapper_input_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +mr_vest_map_SOURCES = viterbi_envelope.cc error_surface.cc aer_scorer.cc mr_vest_map.cc scorer.cc ter.cc comb_scorer.cc line_optimizer.cc +mr_vest_map_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +mr_vest_reduce_SOURCES = error_surface.cc aer_scorer.cc mr_vest_reduce.cc scorer.cc ter.cc comb_scorer.cc line_optimizer.cc viterbi_envelope.cc +mr_vest_reduce_LDADD = $(top_srcdir)/decoder/libcdec.a -lz + +scorer_test_SOURCES = aer_scorer.cc scorer_test.cc scorer.cc ter.cc comb_scorer.cc viterbi_envelope.cc +scorer_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) $(top_srcdir)/decoder/libcdec.a -lz + +lo_test_SOURCES = lo_test.cc scorer.cc ter.cc aer_scorer.cc comb_scorer.cc viterbi_envelope.cc error_surface.cc line_optimizer.cc +lo_test_LDADD = $(GTEST_LDFLAGS) $(GTEST_LIBS) $(top_srcdir)/decoder/libcdec.a -lz + +AM_CPPFLAGS = -W -Wall -Wno-sign-compare $(GTEST_CPPFLAGS) -I$(top_srcdir)/decoder diff --git a/vest/aer_scorer.cc b/vest/aer_scorer.cc new file mode 100644 index 00000000..9c8a783a --- /dev/null +++ b/vest/aer_scorer.cc @@ -0,0 +1,118 @@ +#include "aer_scorer.h" + +#include +#include +#include + +#include "tdict.h" +#include "aligner.h" + +using namespace std; + +class AERScore : public Score { + friend class AERScorer; + public: + AERScore() : num_matches(), num_predicted(), num_in_ref() {} + AERScore(int m, int p, int r) : + num_matches(m), num_predicted(p), num_in_ref(r) {} + virtual void PlusEquals(const Score& delta) { + const AERScore& other = static_cast(delta); + num_matches += other.num_matches; + num_predicted += other.num_predicted; + num_in_ref += other.num_in_ref; + } + virtual Score* GetZero() const { + return new AERScore; + } + virtual void Subtract(const Score& rhs, Score* out) const { + AERScore* res = static_cast(out); + const AERScore& other = static_cast(rhs); + res->num_matches = num_matches - other.num_matches; + res->num_predicted = num_predicted - other.num_predicted; + res->num_in_ref = num_in_ref - other.num_in_ref; + } + float Precision() const { + return static_cast(num_matches) / num_predicted; + } + float Recall() const { + return static_cast(num_matches) / num_in_ref; + } + virtual float ComputeScore() const { + const float prec = Precision(); + const float rec = Recall(); + const float f = (2.0 * prec * rec) / (rec + prec); + if (isnan(f)) return 1.0f; + return 1.0f - f; + } + virtual bool IsAdditiveIdentity() const { + return (num_matches == 0) && (num_predicted == 0) && (num_in_ref == 0); + } + virtual void ScoreDetails(std::string* out) const { + ostringstream os; + os << "AER=" << (ComputeScore() * 100.0) + << " F=" << (100 - ComputeScore() * 100.0) + << " P=" << (Precision() * 100.0) << " R=" << (Recall() * 100.0) + << " [" << num_matches << " " << num_predicted << " " << num_in_ref << "]"; + *out = os.str(); + } + virtual void Encode(std::string*out) const { + out->resize(sizeof(int) * 3); + *(int *)&(*out)[sizeof(int) * 0] = num_matches; + *(int *)&(*out)[sizeof(int) * 1] = num_predicted; + *(int *)&(*out)[sizeof(int) * 2] = num_in_ref; + } + private: + int num_matches; + int num_predicted; + int num_in_ref; +}; + +AERScorer::AERScorer(const vector >& refs, const string& src) : src_(src) { + if (refs.size() != 1) { + cerr << "AERScorer can only take a single reference!\n"; + abort(); + } + ref_ = AlignerTools::ReadPharaohAlignmentGrid(TD::GetString(refs.front())); +} + +static inline bool Safe(const Array2D& a, int i, int j) { + if (i >= 0 && j >= 0 && i < a.width() && j < a.height()) + return a(i,j); + else + return false; +} + +Score* AERScorer::ScoreCandidate(const vector& shyp) const { + boost::shared_ptr > hyp = + AlignerTools::ReadPharaohAlignmentGrid(TD::GetString(shyp)); + + int m = 0; + int r = 0; + int p = 0; + int i_len = ref_->width(); + int j_len = ref_->height(); + for (int i = 0; i < i_len; ++i) { + for (int j = 0; j < j_len; ++j) { + if ((*ref_)(i,j)) { + ++r; + if (Safe(*hyp, i, j)) ++m; + } + } + } + for (int i = 0; i < hyp->width(); ++i) + for (int j = 0; j < hyp->height(); ++j) + if ((*hyp)(i,j)) ++p; + + return new AERScore(m,p,r); +} + +Score* AERScorer::ScoreFromString(const string& in) { + AERScore* res = new AERScore; + res->num_matches = *(const int *)&in[sizeof(int) * 0]; + res->num_predicted = *(const int *)&in[sizeof(int) * 1]; + res->num_in_ref = *(const int *)&in[sizeof(int) * 2]; + return res; +} + +const std::string* AERScorer::GetSource() const { return &src_; } + diff --git a/vest/aer_scorer.h b/vest/aer_scorer.h new file mode 100644 index 00000000..a0afea3b --- /dev/null +++ b/vest/aer_scorer.h @@ -0,0 +1,22 @@ +#ifndef _AER_SCORER_ +#define _AER_SCORER_ + +#include + +#include "scorer.h" +#include "array2d.h" + +class AERScorer : public SentenceScorer { + public: + // when constructing alignment strings from a hypergraph, the source + // is necessary. + AERScorer(const std::vector >& refs, const std::string& src = ""); + Score* ScoreCandidate(const std::vector& hyp) const; + static Score* ScoreFromString(const std::string& in); + const std::string* GetSource() const; + private: + std::string src_; + boost::shared_ptr > ref_; +}; + +#endif diff --git a/vest/comb_scorer.cc b/vest/comb_scorer.cc new file mode 100644 index 00000000..7b2187f4 --- /dev/null +++ b/vest/comb_scorer.cc @@ -0,0 +1,81 @@ +#include "comb_scorer.h" + +#include + +using namespace std; + +class BLEUTERCombinationScore : public Score { + friend class BLEUTERCombinationScorer; + public: + ~BLEUTERCombinationScore(); + float ComputeScore() const { + return (bleu->ComputeScore() - ter->ComputeScore()) / 2.0f; + } + void ScoreDetails(string* details) const { + char buf[160]; + sprintf(buf, "Combi = %.2f, BLEU = %.2f, TER = %.2f", + ComputeScore()*100.0f, bleu->ComputeScore()*100.0f, ter->ComputeScore()*100.0f); + *details = buf; + } + void PlusEquals(const Score& delta) { + bleu->PlusEquals(*static_cast(delta).bleu); + ter->PlusEquals(*static_cast(delta).ter); + } + Score* GetZero() const { + BLEUTERCombinationScore* res = new BLEUTERCombinationScore; + res->bleu = bleu->GetZero(); + res->ter = ter->GetZero(); + return res; + } + void Subtract(const Score& rhs, Score* res) const { + bleu->Subtract(*static_cast(rhs).bleu, + static_cast(res)->bleu); + ter->Subtract(*static_cast(rhs).ter, + static_cast(res)->ter); + } + void Encode(std::string* out) const { + string bs, ts; + bleu->Encode(&bs); + ter->Encode(&ts); + out->clear(); + (*out) += static_cast(bs.size()); + (*out) += bs; + (*out) += ts; + } + bool IsAdditiveIdentity() const { + return bleu->IsAdditiveIdentity() && ter->IsAdditiveIdentity(); + } + private: + Score* bleu; + Score* ter; +}; + +BLEUTERCombinationScore::~BLEUTERCombinationScore() { + delete bleu; + delete ter; +} + +BLEUTERCombinationScorer::BLEUTERCombinationScorer(const vector >& refs) { + bleu_ = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs); + ter_ = SentenceScorer::CreateSentenceScorer(TER, refs); +} + +BLEUTERCombinationScorer::~BLEUTERCombinationScorer() { + delete bleu_; + delete ter_; +} + +Score* BLEUTERCombinationScorer::ScoreCandidate(const std::vector& hyp) const { + BLEUTERCombinationScore* res = new BLEUTERCombinationScore; + res->bleu = bleu_->ScoreCandidate(hyp); + res->ter = ter_->ScoreCandidate(hyp); + return res; +} + +Score* BLEUTERCombinationScorer::ScoreFromString(const std::string& in) { + int bss = in[0]; + BLEUTERCombinationScore* r = new BLEUTERCombinationScore; + r->bleu = SentenceScorer::CreateScoreFromString(IBM_BLEU, in.substr(1, bss)); + r->ter = SentenceScorer::CreateScoreFromString(TER, in.substr(1 + bss)); + return r; +} diff --git a/vest/comb_scorer.h b/vest/comb_scorer.h new file mode 100644 index 00000000..70b1ec75 --- /dev/null +++ b/vest/comb_scorer.h @@ -0,0 +1,17 @@ +#ifndef _COMB_SCORER_ +#define _COMB_SCORER_ + +#include "scorer.h" + +class BLEUTERCombinationScorer : public SentenceScorer { + public: + BLEUTERCombinationScorer(const std::vector >& refs); + ~BLEUTERCombinationScorer(); + Score* ScoreCandidate(const std::vector& hyp) const; + static Score* ScoreFromString(const std::string& in); + private: + SentenceScorer* bleu_; + SentenceScorer* ter_; +}; + +#endif diff --git a/vest/dist-vest.pl b/vest/dist-vest.pl new file mode 100755 index 00000000..dca2f06b --- /dev/null +++ b/vest/dist-vest.pl @@ -0,0 +1,619 @@ +#!/usr/bin/env perl + +use strict; +my $SCRIPT_DIR; BEGIN { use Cwd qw/ abs_path /; use File::Basename; $SCRIPT_DIR = dirname(abs_path($0)); push @INC, $SCRIPT_DIR; } +use Getopt::Long; +use IPC::Open2; +use strict; +use POSIX ":sys_wait_h"; + +# Default settings +my $srcFile; +my $refFiles; +my $bin_dir = $SCRIPT_DIR; +die "Bin directory $bin_dir missing/inaccessible" unless -d $bin_dir; +my $FAST_SCORE="$bin_dir/fast_score"; +die "Can't execute $FAST_SCORE" unless -x $FAST_SCORE; +my $MAPINPUT = "$bin_dir/mr_vest_generate_mapper_input"; +my $MAPPER = "$bin_dir/mr_vest_map"; +my $REDUCER = "$bin_dir/mr_vest_reduce"; +my $SCORER = $FAST_SCORE; +die "Can't find $MAPPER" unless -x $MAPPER; +my $cdec = "$bin_dir/../decoder/cdec"; +die "Can't find decoder in $cdec" unless -x $cdec; +my $decoder = $cdec; +my $DISCARD_FORESTS = 0; +my $lines_per_mapper = 400; +my $rand_directions = 15; +my $iteration = 1; +my $run_local = 0; +my $best_weights; +my $max_iterations = 15; +my $optimization_iters = 6; +my $num_rand_points = 20; +my $mert_nodes = join(" ", grep(/^c\d\d$/, split(/\n/, `pbsnodes -a`))); # "1 1 1 1 1" fails due to file staging conflicts +my $decode_nodes = "1 1 1 1 1 1 1 1 1 1 1 1 1 1 1"; # start 15 jobs +my $pmem = "3g"; +my $disable_clean = 0; +my %seen_weights; +my $normalize; +my $help = 0; +my $epsilon = 0.0001; +my $interval = 5; +my $dryrun = 0; +my $ranges; +my $last_score = -10000000; +my $restart = 0; +my $metric = "ibm_bleu"; +my $dir; +my $iniFile; +my $weights; +my $initialWeights; +my $decoderOpt; + +# Process command-line options +Getopt::Long::Configure("no_auto_abbrev"); +if (GetOptions( + "decoder=s" => \$decoderOpt, + "decode-nodes=s" => \$decode_nodes, + "dont-clean" => \$disable_clean, + "dry-run" => \$dryrun, + "epsilon" => \$epsilon, + "help" => \$help, + "interval" => \$interval, + "iteration=i" => \$iteration, + "local" => \$run_local, + "max-iterations=i" => \$max_iterations, + "mert-nodes=s" => \$mert_nodes, + "normalize=s" => \$normalize, + "pmem=s" => \$pmem, + "ranges=s" => \$ranges, + "rand-directions=i" => \$rand_directions, + "ref-files=s" => \$refFiles, + "metric=s" => \$metric, + "restart" => \$restart, + "source-file=s" => \$srcFile, + "weights=s" => \$initialWeights, + "workdir=s" => \$dir +) == 0 || @ARGV!=1 || $help) { + print_help(); + exit; +} + +if ($metric =~ /^(combi|ter)$/i) { + $lines_per_mapper = 40; +} + +($iniFile) = @ARGV; + + +sub write_config; +sub enseg; +sub print_help; + +my $nodelist; +my $host =`hostname`; chomp $host; +my $bleu; +my $interval_count = 0; +my $logfile; +my $projected_score; + +# used in sorting scores +my $DIR_FLAG = '-r'; +if ($metric =~ /^ter$|^aer$/i) { + $DIR_FLAG = ''; +} + +my $refs_comma_sep = get_comma_sep_refs($refFiles); + +unless ($dir){ + $dir = "vest"; +} +unless ($dir =~ /^\//){ # convert relative path to absolute path + my $basedir = `pwd`; + chomp $basedir; + $dir = "$basedir/$dir"; +} +if ($restart){ + $iniFile = `ls $dir/*.ini`; chomp $iniFile; + unless (-e $iniFile){ + die "ERROR: Could not find ini file in $dir to restart\n"; + } + $logfile = "$dir/mert.log"; + open(LOGFILE, ">>$logfile"); + print LOGFILE "RESTARTING STOPPED OPTIMIZATION\n\n"; + + # figure out best weights so far and iteration number + open(LOG, "$dir/mert.log"); + my $wi = 0; + while (my $line = ){ + chomp $line; + if ($line =~ /ITERATION (\d+)/) { + $iteration = $1; + } + } + + $iteration = $wi + 1; +} + +if ($decoderOpt){ $decoder = $decoderOpt; } + + +# Initializations and helper functions +srand; + +my @childpids = (); +my @cleanupcmds = (); + +sub cleanup { + print STDERR "Cleanup...\n"; + for my $pid (@childpids){ `kill $pid`; } + for my $cmd (@cleanupcmds){`$cmd`; } + exit 1; +}; +$SIG{INT} = "cleanup"; +$SIG{TERM} = "cleanup"; +$SIG{HUP} = "cleanup"; + +my $decoderBase = `basename $decoder`; chomp $decoderBase; +my $newIniFile = "$dir/$decoderBase.ini"; +my $parallelize = '/chomes/redpony/svn-trunk/sa-utils/parallelize.pl'; +my $inputFileName = "$dir/input"; +my $user = $ENV{"USER"}; + +# process ini file +-e $iniFile || die "Error: could not open $iniFile for reading\n"; +open(INI, $iniFile); + +if ($dryrun){ + write_config(*STDERR); + exit 0; +} else { + if (-e $dir){ + unless($restart){ + die "ERROR: working dir $dir already exists\n\n"; + } + } else { + mkdir $dir; + mkdir "$dir/hgs"; + unless (-e $initialWeights) { + print STDERR "Please specify an initial weights file with --initial-weights\n"; + print_help(); + exit; + } + `cp $initialWeights $dir/weights.0`; + die "Can't find weights.0" unless (-e "$dir/weights.0"); + } + unless($restart){ + $logfile = "$dir/mert.log"; + open(LOGFILE, ">$logfile"); + } + write_config(*LOGFILE); +} + + +# Generate initial files and values +unless ($restart){ `cp $iniFile $newIniFile`; } +$iniFile = $newIniFile; + +my $newsrc = "$dir/dev.input"; +unless($restart){ enseg($srcFile, $newsrc); } +$srcFile = $newsrc; +my $devSize = 0; +open F, "<$srcFile" or die "Can't read $srcFile: $!"; +while() { $devSize++; } +close F; + +unless($best_weights){ $best_weights = $weights; } +unless($projected_score){ $projected_score = 0.0; } +$seen_weights{$weights} = 1; + +my $random_seed = int(time / 1000); +my $lastWeightsFile; +my $lastPScore = 0; +# main optimization loop +while (1){ + print LOGFILE "\n\nITERATION $iteration\n==========\n"; + + # iteration-specific files + my $runFile="$dir/run.raw.$iteration"; + my $onebestFile="$dir/1best.$iteration"; + my $logdir="$dir/logs.$iteration"; + my $decoderLog="$logdir/decoder.sentserver.log.$iteration"; + my $scorerLog="$logdir/scorer.log.$iteration"; + `mkdir -p $logdir`; + + #decode + print LOGFILE "DECODE\n"; + print LOGFILE `date`; + my $im1 = $iteration - 1; + my $weightsFile="$dir/weights.$im1"; + my $decoder_cmd = "$decoder -c $iniFile -w $weightsFile -O $dir/hgs"; + my $pcmd = "cat $srcFile | $parallelize -p $pmem -e $logdir -n \"$decode_nodes\" -- "; + if ($run_local) { $pcmd = "cat $srcFile |"; } + my $cmd = $pcmd . "$decoder_cmd 2> $decoderLog 1> $runFile"; + print LOGFILE "COMMAND:\n$cmd\n"; + my $result = 0; + $result = system($cmd); + unless ($result == 0){ + cleanup(); + print LOGFILE "ERROR: Parallel decoder returned non-zero exit code $result\n"; + die; + } + my $dec_score = `cat $runFile | $SCORER $refs_comma_sep -l $metric`; + chomp $dec_score; + print LOGFILE "DECODER SCORE: $dec_score\n"; + + # save space + `gzip $runFile`; + `gzip $decoderLog`; + + if ($iteration > $max_iterations){ + print LOGFILE "\nREACHED STOPPING CRITERION: Maximum iterations\n"; + last; + } + + # run optimizer + print LOGFILE "\nUNION FORESTS\n"; + print LOGFILE `date`; + my $mergeLog="$logdir/prune-merge.log.$iteration"; + if ($DISCARD_FORESTS) { + `rm -f $dir/hgs/*gz`; + } + + my $score = 0; + my $icc = 0; + my $inweights="$dir/weights.$im1"; + for (my $opt_iter=1; $opt_iter<$optimization_iters; $opt_iter++) { + print LOGFILE "\nGENERATE OPTIMIZATION STRATEGY (OPT-ITERATION $opt_iter/$optimization_iters)\n"; + print LOGFILE `date`; + $icc++; + $cmd="$MAPINPUT -w $inweights -r $dir/hgs -s $devSize -d $rand_directions > $dir/agenda.$im1-$opt_iter"; + print LOGFILE "COMMAND:\n$cmd\n"; + $result = system($cmd); + unless ($result == 0){ + cleanup(); + print LOGFILE "ERROR: mapinput command returned non-zero exit code $result\n"; + die; + } + + `mkdir $dir/splag.$im1`; + $cmd="split -a 3 -l $lines_per_mapper $dir/agenda.$im1-$opt_iter $dir/splag.$im1/mapinput."; + print LOGFILE "COMMAND:\n$cmd\n"; + $result = system($cmd); + unless ($result == 0){ + cleanup(); + print LOGFILE "ERROR: split command returned non-zero exit code $result\n"; + die; + } + opendir(DIR, "$dir/splag.$im1") or die "Can't open directory: $!"; + my @shards = grep { /^mapinput\./ } readdir(DIR); + closedir DIR; + die "No shards!" unless scalar @shards > 0; + my $joblist = ""; + my $nmappers = 0; + my @mapoutputs = (); + @cleanupcmds = (); + my %o2i = (); + my $first_shard = 1; + for my $shard (@shards) { + my $mapoutput = $shard; + my $client_name = $shard; + $client_name =~ s/mapinput.//; + $client_name = "vest.$client_name"; + $mapoutput =~ s/mapinput/mapoutput/; + push @mapoutputs, "$dir/splag.$im1/$mapoutput"; + $o2i{"$dir/splag.$im1/$mapoutput"} = "$dir/splag.$im1/$shard"; + my $script = "$MAPPER -s $srcFile -l $metric $refs_comma_sep < $dir/splag.$im1/$shard | sort -t \$'\\t' -k 1 > $dir/splag.$im1/$mapoutput"; + if ($run_local) { + print LOGFILE "COMMAND:\n$script\n"; + $result = system($script); + unless ($result == 0){ + cleanup(); + print LOGFILE "ERROR: mapper returned non-zero exit code $result\n"; + die; + } + } else { + my $todo = "qsub -q batch -l pmem=3000mb,walltime=5:00:00 -N $client_name -o /dev/null -e $logdir/$client_name.ER"; + local(*QOUT, *QIN); + open2(\*QOUT, \*QIN, $todo); + print QIN $script; + if ($first_shard) { print LOGFILE "$script\n"; $first_shard=0; } + close QIN; + $nmappers++; + while (my $jobid=){ + chomp $jobid; + push(@cleanupcmds, "`qdel $jobid 2> /dev/null`"); + $jobid =~ s/^(\d+)(.*?)$/\1/g; + print STDERR "short job id $jobid\n"; + if ($joblist == "") { $joblist = $jobid; } + else {$joblist = $joblist . "\|" . $jobid; } + } + close QOUT; + } + } + if ($run_local) { + } else { + print LOGFILE "Launched $nmappers mappers.\n"; + print LOGFILE "Waiting for mappers to complete...\n"; + while ($nmappers > 0) { + sleep 5; + my @livejobs = grep(/$joblist/, split(/\n/, `qstat`)); + $nmappers = scalar @livejobs; + } + print LOGFILE "All mappers complete.\n"; + } + my $tol = 0; + my $til = 0; + for my $mo (@mapoutputs) { + my $olines = get_lines($mo); + my $ilines = get_lines($o2i{$mo}); + $tol += $olines; + $til += $ilines; + die "$mo: output lines ($olines) doesn't match input lines ($ilines)" unless $olines==$ilines; + } + print LOGFILE "Results for $tol/$til lines\n"; + print LOGFILE "\nSORTING AND RUNNING FMERT REDUCER\n"; + print LOGFILE `date`; + $cmd="sort -t \$'\\t' -k 1 @mapoutputs | $REDUCER -l $metric > $dir/redoutput.$im1"; + print LOGFILE "COMMAND:\n$cmd\n"; + $result = system($cmd); + unless ($result == 0){ + cleanup(); + print LOGFILE "ERROR: reducer command returned non-zero exit code $result\n"; + die; + } + $cmd="sort -nk3 $DIR_FLAG '-t|' $dir/redoutput.$im1 | head -1"; + my $best=`$cmd`; chomp $best; + print LOGFILE "$best\n"; + my ($oa, $x, $xscore) = split /\|/, $best; + $score = $xscore; + print LOGFILE "PROJECTED SCORE: $score\n"; + if (abs($x) < $epsilon) { + print LOGFILE "\nOPTIMIZER: no score improvement: abs($x) < $epsilon\n"; + last; + } + my $psd = $score - $last_score; + $last_score = $score; + if (abs($psd) < $epsilon) { + print LOGFILE "\nOPTIMIZER: no score improvement: abs($psd) < $epsilon\n"; + last; + } + my ($origin, $axis) = split /\s+/, $oa; + + my %ori = convert($origin); + my %axi = convert($axis); + + my $finalFile="$dir/weights.$im1-$opt_iter"; + open W, ">$finalFile" or die "Can't write: $finalFile: $!"; + my $norm = 0; + for my $k (sort keys %ori) { + my $dd = $ori{$k} + $axi{$k} * $x; + $norm += $dd * $dd; + } + $norm = sqrt($norm); + $norm = 1; + for my $k (sort keys %ori) { + my $v = ($ori{$k} + $axi{$k} * $x) / $norm; + print W "$k $v\n"; + } + `rm -rf $dir/splag.$im1`; + $inweights = $finalFile; + } + $lastWeightsFile = "$dir/weights.$iteration"; + `cp $inweights $lastWeightsFile`; + if ($icc < 2) { + print LOGFILE "\nREACHED STOPPING CRITERION: score change too little\n"; + last; + } + $lastPScore = $score; + $iteration++; + print LOGFILE "\n==========\n"; +} + +print LOGFILE "\nFINAL WEIGHTS: $dir/$lastWeightsFile\n(Use -w with hiero)\n\n"; + +sub normalize_weights { + my ($rfn, $rpts, $feat) = @_; + my @feat_names = @$rfn; + my @pts = @$rpts; + my $z = 1.0; + for (my $i=0; $i < scalar @feat_names; $i++) { + if ($feat_names[$i] eq $feat) { + $z = $pts[$i]; + last; + } + } + for (my $i=0; $i < scalar @feat_names; $i++) { + $pts[$i] /= $z; + } + print LOGFILE " NORM WEIGHTS: @pts\n"; + return @pts; +} + +sub get_lines { + my $fn = shift @_; + open FL, "<$fn" or die "Couldn't read $fn: $!"; + my $lc = 0; + while() { $lc++; } + return $lc; +} + +sub get_comma_sep_refs { + my ($p) = @_; + my $o = `echo $p`; + chomp $o; + my @files = split /\s+/, $o; + return "-r " . join(' -r ', @files); +} + +sub read_weights_file { + my ($file) = @_; + open F, "<$file" or die "Couldn't read $file: $!"; + my @r = (); + my $pm = -1; + while() { + next if /^#/; + next if /^\s*$/; + chomp; + if (/^(.+)\s+(.+)$/) { + my $m = $1; + my $w = $2; + die "Weights out of order: $m <= $pm" unless $m > $pm; + push @r, $w; + } else { + warn "Unexpected feature name in weight file: $_"; + } + } + close F; + return join ' ', @r; +} + +# subs +sub write_config { + my $fh = shift; + my $cleanup = "yes"; + if ($disable_clean) {$cleanup = "no";} + + print $fh "\n"; + print $fh "DECODER: $decoder\n"; + print $fh "INI FILE: $iniFile\n"; + print $fh "WORKING DIR: $dir\n"; + print $fh "SOURCE (DEV): $srcFile\n"; + print $fh "REFS (DEV): $refFiles\n"; + print $fh "EVAL METRIC: $metric\n"; + print $fh "START ITERATION: $iteration\n"; + print $fh "MAX ITERATIONS: $max_iterations\n"; + print $fh "MERT NODES: $mert_nodes\n"; + print $fh "DECODE NODES: $decode_nodes\n"; + print $fh "HEAD NODE: $host\n"; + print $fh "PMEM (DECODING): $pmem\n"; + print $fh "CLEANUP: $cleanup\n"; + print $fh "INITIAL WEIGHTS: $initialWeights\n"; + + if ($restart){ + print $fh "PROJECTED BLEU: $projected_score\n"; + print $fh "BEST WEIGHTS: $best_weights\n"; + } +} + +sub update_weights_file { + my ($neww, $rfn, $rpts) = @_; + my @feats = @$rfn; + my @pts = @$rpts; + my $num_feats = scalar @feats; + my $num_pts = scalar @pts; + die "$num_feats (num_feats) != $num_pts (num_pts)" unless $num_feats == $num_pts; + open G, ">$neww" or die; + for (my $i = 0; $i < $num_feats; $i++) { + my $f = $feats[$i]; + my $lambda = $pts[$i]; + print G "$f $lambda\n"; + } + close G; +} + +sub enseg { + my $src = shift; + my $newsrc = shift; + open(SRC, $src); + open(NEWSRC, ">$newsrc"); + my $i=0; + while (my $line=){ + chomp $line; + print NEWSRC "$line\n"; + $i++; + } + close SRC; + close NEWSRC; +} + +sub print_help { + + my $executable = `basename $0`; chomp $executable; + print << "Help"; + +Usage: $executable [options] + $executable --restart + + $executable [options] + Runs a complete MERT optimization and test set decoding, using + the decoder configuration in ini file. Note that many of the + options have default values that are inferred automatically + based on certain conventions. For details, refer to descriptions + of the options --decoder, --weights, and --workdir. + + $executable --restart + Continues an optimization run that was stopped for some reason, + using configuration information found in the working directory + left behind by the stopped run. + +Options: + + --local + Run the decoder and optimizer locally. + + --decoder + Decoder binary to use. + + --help + Print this message and exit. + + --iteration + Starting iteration number. If not specified, defaults to 1. + + --max-iterations + Maximum number of iterations to run. If not specified, defaults + to 10. + + --pmem + Amount of physical memory requested for parallel decoding jobs. + + --ref-files + Dev set ref files. This option takes only a single string argument. + To use multiple files (including file globbing), this argument should + be quoted. + + --metric + Metric to optimize. + Example values: IBM_BLEU, NIST_BLEU, Koehn_BLEU, TER, Combi + + --normalize + After each iteration, rescale all feature weights such that feature- + name has a weight of 1.0. + + --rand-directions + MERT will attempt to optimize along all of the principle directions, + set this parameter to explore other directions. Defaults to 5. + + --source-file + Dev set source file. + + --weights + A file specifying initial feature weights. The format is + FeatureName_1 value1 + FeatureName_2 value2 + + --workdir + Directory for intermediate and output files. If not specified, the + name is derived from the ini filename. Assuming that the ini + filename begins with the decoder name and ends with ini, the default + name of the working directory is inferred from the middle part of + the filename. E.g. an ini file named decoder.foo.ini would have + a default working directory name foo. + +Help +} + +sub convert { + my ($str) = @_; + my @ps = split /;/, $str; + my %dict = (); + for my $p (@ps) { + my ($k, $v) = split /=/, $p; + $dict{$k} = $v; + } + return %dict; +} + + diff --git a/vest/error_surface.cc b/vest/error_surface.cc new file mode 100644 index 00000000..4e0af35c --- /dev/null +++ b/vest/error_surface.cc @@ -0,0 +1,46 @@ +#include "error_surface.h" + +#include +#include + +using namespace std; + +ErrorSurface::~ErrorSurface() { + for (ErrorSurface::iterator i = begin(); i != end(); ++i) + //delete i->delta; + ; +} + +void ErrorSurface::Serialize(std::string* out) const { + const int segments = this->size(); + ostringstream os(ios::binary); + os.write((const char*)&segments,sizeof(segments)); + for (int i = 0; i < segments; ++i) { + const ErrorSegment& cur = (*this)[i]; + string senc; + cur.delta->Encode(&senc); + assert(senc.size() < 256); + unsigned char len = senc.size(); + os.write((const char*)&cur.x, sizeof(cur.x)); + os.write((const char*)&len, sizeof(len)); + os.write((const char*)&senc[0], len); + } + *out = os.str(); +} + +void ErrorSurface::Deserialize(ScoreType type, const std::string& in) { + istringstream is(in, ios::binary); + int segments; + is.read((char*)&segments, sizeof(segments)); + this->resize(segments); + for (int i = 0; i < segments; ++i) { + ErrorSegment& cur = (*this)[i]; + unsigned char len; + is.read((char*)&cur.x, sizeof(cur.x)); + is.read((char*)&len, sizeof(len)); + string senc(len, '\0'); assert(senc.size() == len); + is.read((char*)&senc[0], len); + cur.delta = SentenceScorer::CreateScoreFromString(type, senc); + } +} + diff --git a/vest/error_surface.h b/vest/error_surface.h new file mode 100644 index 00000000..a8734f54 --- /dev/null +++ b/vest/error_surface.h @@ -0,0 +1,24 @@ +#ifndef _ERROR_SURFACE_H_ +#define _ERROR_SURFACE_H_ + +#include +#include + +#include "scorer.h" + +class Score; + +struct ErrorSegment { + double x; + Score* delta; + ErrorSegment() : x(0), delta(NULL) {} +}; + +class ErrorSurface : public std::vector { + public: + ~ErrorSurface(); + void Serialize(std::string* out) const; + void Deserialize(ScoreType type, const std::string& in); +}; + +#endif diff --git a/vest/fast_score.cc b/vest/fast_score.cc new file mode 100644 index 00000000..cf743b4f --- /dev/null +++ b/vest/fast_score.cc @@ -0,0 +1,74 @@ +#include +#include + +#include +#include + +#include "filelib.h" +#include "tdict.h" +#include "scorer.h" + +using namespace std; +namespace po = boost::program_options; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("reference,r",po::value >(), "[REQD] Reference translation(s) (tokenized text file)") + ("loss_function,l",po::value()->default_value("ibm_bleu"), "Scoring metric (ibm_bleu, nist_bleu, koehn_bleu, ter, combi)") + ("in_file,i", po::value()->default_value("-"), "Input file") + ("help,h", "Help"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + bool flag = false; + if (!conf->count("reference")) { + cerr << "Please specify one or more references using -r -r ...\n"; + flag = true; + } + if (flag || conf->count("help")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + const string loss_function = conf["loss_function"].as(); + ScoreType type = ScoreTypeFromString(loss_function); + DocScorer ds(type, conf["reference"].as >(), ""); + cerr << "Loaded " << ds.size() << " references for scoring with " << loss_function << endl; + + ReadFile rf(conf["in_file"].as()); + Score* acc = NULL; + istream& in = *rf.stream(); + int lc = 0; + while(in) { + string line; + getline(in, line); + if (line.empty()) continue; + vector sent; + TD::ConvertSentence(line, &sent); + Score* sentscore = ds[lc]->ScoreCandidate(sent); + if (!acc) { acc = sentscore->GetZero(); } + acc->PlusEquals(*sentscore); + delete sentscore; + ++lc; + } + assert(lc > 0); + if (lc > ds.size()) { + cerr << "Too many (" << lc << ") translations in input, expected " << ds.size() << endl; + return 1; + } + if (lc != ds.size()) + cerr << "Fewer sentences in hyp (" << lc << ") than refs (" + << ds.size() << "): scoring partial set!\n"; + float score = acc->ComputeScore(); + string details; + acc->ScoreDetails(&details); + delete acc; + cerr << details << endl; + cout << score << endl; + return 0; +} diff --git a/vest/line_optimizer.cc b/vest/line_optimizer.cc new file mode 100644 index 00000000..b6410c35 --- /dev/null +++ b/vest/line_optimizer.cc @@ -0,0 +1,103 @@ +#include "line_optimizer.h" + +#include +#include + +#include "sparse_vector.h" +#include "scorer.h" + +using namespace std; + +typedef ErrorSurface::const_iterator ErrorIter; + +// sort by increasing x-ints +struct IntervalComp { + bool operator() (const ErrorIter& a, const ErrorIter& b) const { + return a->x < b->x; + } +}; + +double LineOptimizer::LineOptimize( + const vector& surfaces, + const LineOptimizer::ScoreType type, + float* best_score, + const double epsilon) { + // cerr << "MIN=" << MINIMIZE_SCORE << " MAX=" << MAXIMIZE_SCORE << " MINE=" << type << endl; + vector all_ints; + for (vector::const_iterator i = surfaces.begin(); + i != surfaces.end(); ++i) { + const ErrorSurface& surface = *i; + for (ErrorIter j = surface.begin(); j != surface.end(); ++j) + all_ints.push_back(j); + } + sort(all_ints.begin(), all_ints.end(), IntervalComp()); + double last_boundary = all_ints.front()->x; + Score* acc = all_ints.front()->delta->GetZero(); + float& cur_best_score = *best_score; + cur_best_score = (type == MAXIMIZE_SCORE ? + -numeric_limits::max() : numeric_limits::max()); + bool left_edge = true; + double pos = numeric_limits::quiet_NaN(); + for (vector::iterator i = all_ints.begin(); + i != all_ints.end(); ++i) { + const ErrorSegment& seg = **i; + assert(seg.delta); + if (seg.x - last_boundary > epsilon) { + float sco = acc->ComputeScore(); + if ((type == MAXIMIZE_SCORE && sco > cur_best_score) || + (type == MINIMIZE_SCORE && sco < cur_best_score) ) { + cur_best_score = sco; + if (left_edge) { + pos = seg.x - 0.1; + left_edge = false; + } else { + pos = last_boundary + (seg.x - last_boundary) / 2; + } + // cerr << "NEW BEST: " << pos << " (score=" << cur_best_score << ")\n"; + } + // string xx; acc->ScoreDetails(&xx); cerr << "---- " << xx; + // cerr << "---- s=" << sco << "\n"; + last_boundary = seg.x; + } + // cerr << "x-boundary=" << seg.x << "\n"; + acc->PlusEquals(*seg.delta); + } + float sco = acc->ComputeScore(); + if ((type == MAXIMIZE_SCORE && sco > cur_best_score) || + (type == MINIMIZE_SCORE && sco < cur_best_score) ) { + cur_best_score = sco; + if (left_edge) { + pos = 0; + } else { + pos = last_boundary + 1000.0; + } + } + delete acc; + return pos; +} + +void LineOptimizer::RandomUnitVector(const vector& features_to_optimize, + SparseVector* axis, + RandomNumberGenerator* rng) { + axis->clear(); + for (int i = 0; i < features_to_optimize.size(); ++i) + axis->set_value(features_to_optimize[i], rng->next() - 0.5); + (*axis) /= axis->l2norm(); +} + +void LineOptimizer::CreateOptimizationDirections( + const vector& features_to_optimize, + int additional_random_directions, + RandomNumberGenerator* rng, + vector >* dirs) { + const int num_directions = features_to_optimize.size() + additional_random_directions; + dirs->resize(num_directions); + for (int i = 0; i < num_directions; ++i) { + SparseVector& axis = (*dirs)[i]; + if (i < features_to_optimize.size()) + axis.set_value(features_to_optimize[i], 1.0); + else + RandomUnitVector(features_to_optimize, &axis, rng); + } + cerr << "Generated " << num_directions << " total axes to optimize along.\n"; +} diff --git a/vest/line_optimizer.h b/vest/line_optimizer.h new file mode 100644 index 00000000..43164360 --- /dev/null +++ b/vest/line_optimizer.h @@ -0,0 +1,44 @@ +#ifndef LINE_OPTIMIZER_H_ +#define LINE_OPTIMIZER_H_ + +#include + +#include "error_surface.h" +#include "sampler.h" + +template class SparseVector; +class Weights; + +struct LineOptimizer { + + // use MINIMIZE_SCORE for things like TER, WER + // MAXIMIZE_SCORE for things like BLEU + enum ScoreType { MAXIMIZE_SCORE, MINIMIZE_SCORE }; + + // merge all the error surfaces together into a global + // error surface and find (the middle of) the best segment + static double LineOptimize( + const std::vector& envs, + const LineOptimizer::ScoreType type, + float* best_score, + const double epsilon = 1.0/65536.0); + + // return a random vector of length 1 where all dimensions + // not listed in dimensions will be 0. + static void RandomUnitVector(const std::vector& dimensions, + SparseVector* axis, + RandomNumberGenerator* rng); + + // generate a list of directions to optimize; the list will + // contain the orthogonal vectors corresponding to the dimensions in + // primary and then additional_random_directions directions in those + // dimensions as well. All vectors will be length 1. + static void CreateOptimizationDirections( + const std::vector& primary, + int additional_random_directions, + RandomNumberGenerator* rng, + std::vector >* dirs); + +}; + +#endif diff --git a/vest/lo_test.cc b/vest/lo_test.cc new file mode 100644 index 00000000..f937daac --- /dev/null +++ b/vest/lo_test.cc @@ -0,0 +1,201 @@ +#include +#include +#include + +#include +#include + +#include "fdict.h" +#include "hg.h" +#include "kbest.h" +#include "hg_io.h" +#include "filelib.h" +#include "inside_outside.h" +#include "viterbi.h" +#include "viterbi_envelope.h" +#include "line_optimizer.h" +#include "scorer.h" + +using namespace std; +using boost::shared_ptr; + +class OptTest : public testing::Test { + protected: + virtual void SetUp() { } + virtual void TearDown() { } +}; + +const char* ref11 = "australia reopens embassy in manila"; +const char* ref12 = "( afp , manila , january 2 ) australia reopened its embassy in the philippines today , which was shut down about seven weeks ago due to what was described as a specific threat of a terrorist attack ."; +const char* ref21 = "australia reopened manila embassy"; +const char* ref22 = "( agence france-presse , manila , 2nd ) - australia reopened its embassy in the philippines today . the embassy was closed seven weeks ago after what was described as a specific threat of a terrorist attack ."; +const char* ref31 = "australia to reopen embassy in manila"; +const char* ref32 = "( afp report from manila , january 2 ) australia reopened its embassy in the philippines today . seven weeks ago , the embassy was shut down due to so - called confirmed terrorist attack threats ."; +const char* ref41 = "australia to re - open its embassy to manila"; +const char* ref42 = "( afp , manila , thursday ) australia reopens its embassy to manila , which was closed for the so - called \" clear \" threat of terrorist attack 7 weeks ago ."; + +TEST_F(OptTest, TestCheckNaN) { + double x = 0; + double y = 0; + double z = x / y; + EXPECT_EQ(true, isnan(z)); +} + +TEST_F(OptTest,TestViterbiEnvelope) { + shared_ptr a1(new Segment(-1, 0)); + shared_ptr b1(new Segment(1, 0)); + shared_ptr a2(new Segment(-1, 1)); + shared_ptr b2(new Segment(1, -1)); + vector > sa; sa.push_back(a1); sa.push_back(b1); + vector > sb; sb.push_back(a2); sb.push_back(b2); + ViterbiEnvelope a(sa); + cerr << a << endl; + ViterbiEnvelope b(sb); + ViterbiEnvelope c = a; + c *= b; + cerr << a << " (*) " << b << " = " << c << endl; + EXPECT_EQ(3, c.size()); +} + +TEST_F(OptTest,TestViterbiEnvelopeInside) { + const string json = "{\"rules\":[1,\"[X] ||| a\",2,\"[X] ||| A [1]\",3,\"[X] ||| c\",4,\"[X] ||| C [1]\",5,\"[X] ||| [1] B [2]\",6,\"[X] ||| [1] b [2]\",7,\"[X] ||| X [1]\",8,\"[X] ||| Z [1]\"],\"features\":[\"f1\",\"f2\",\"Feature_1\",\"Feature_0\",\"Model_0\",\"Model_1\",\"Model_2\",\"Model_3\",\"Model_4\",\"Model_5\",\"Model_6\",\"Model_7\"],\"edges\":[{\"tail\":[],\"feats\":[],\"rule\":1}],\"node\":{\"in_edges\":[0]},\"edges\":[{\"tail\":[0],\"feats\":[0,-0.8,1,-0.1],\"rule\":2}],\"node\":{\"in_edges\":[1]},\"edges\":[{\"tail\":[],\"feats\":[1,-1],\"rule\":3}],\"node\":{\"in_edges\":[2]},\"edges\":[{\"tail\":[2],\"feats\":[0,-0.2,1,-0.1],\"rule\":4}],\"node\":{\"in_edges\":[3]},\"edges\":[{\"tail\":[1,3],\"feats\":[0,-1.2,1,-0.2],\"rule\":5},{\"tail\":[1,3],\"feats\":[0,-0.5,1,-1.3],\"rule\":6}],\"node\":{\"in_edges\":[4,5]},\"edges\":[{\"tail\":[4],\"feats\":[0,-0.5,1,-0.8],\"rule\":7},{\"tail\":[4],\"feats\":[0,-0.7,1,-0.9],\"rule\":8}],\"node\":{\"in_edges\":[6,7]}}"; + Hypergraph hg; + istringstream instr(json); + HypergraphIO::ReadFromJSON(&instr, &hg); + SparseVector wts; + wts.set_value(FD::Convert("f1"), 0.4); + wts.set_value(FD::Convert("f2"), 1.0); + hg.Reweight(wts); + vector, prob_t> > list; + std::vector > features; + KBest::KBestDerivations, ESentenceTraversal> kbest(hg, 10); + for (int i = 0; i < 10; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest.LazyKthBest(hg.nodes_.size() - 1, i); + if (!d) break; + cerr << log(d->score) << " ||| " << TD::GetString(d->yield) << " ||| " << d->feature_values << endl; + } + SparseVector dir; dir.set_value(FD::Convert("f1"), 1.0); + ViterbiEnvelopeWeightFunction wf(wts, dir); + ViterbiEnvelope env = Inside(hg, NULL, wf); + cerr << env << endl; + const vector >& segs = env.GetSortedSegs(); + dir *= segs[1]->x; + wts += dir; + hg.Reweight(wts); + KBest::KBestDerivations, ESentenceTraversal> kbest2(hg, 10); + for (int i = 0; i < 10; ++i) { + const KBest::KBestDerivations, ESentenceTraversal>::Derivation* d = + kbest2.LazyKthBest(hg.nodes_.size() - 1, i); + if (!d) break; + cerr << log(d->score) << " ||| " << TD::GetString(d->yield) << " ||| " << d->feature_values << endl; + } + for (int i = 0; i < segs.size(); ++i) { + cerr << "seg=" << i << endl; + vector trans; + segs[i]->ConstructTranslation(&trans); + cerr << TD::GetString(trans) << endl; + } +} + +TEST_F(OptTest, TestS1) { + int fPhraseModel_0 = FD::Convert("PhraseModel_0"); + int fPhraseModel_1 = FD::Convert("PhraseModel_1"); + int fPhraseModel_2 = FD::Convert("PhraseModel_2"); + int fLanguageModel = FD::Convert("LanguageModel"); + int fWordPenalty = FD::Convert("WordPenalty"); + int fPassThrough = FD::Convert("PassThrough"); + SparseVector wts; + wts.set_value(fWordPenalty, 4.25); + wts.set_value(fLanguageModel, -1.1165); + wts.set_value(fPhraseModel_0, -0.96); + wts.set_value(fPhraseModel_1, -0.65); + wts.set_value(fPhraseModel_2, -0.77); + wts.set_value(fPassThrough, -10.0); + + vector to_optimize; + to_optimize.push_back(fWordPenalty); + to_optimize.push_back(fLanguageModel); + to_optimize.push_back(fPhraseModel_0); + to_optimize.push_back(fPhraseModel_1); + to_optimize.push_back(fPhraseModel_2); + + Hypergraph hg; + ReadFile rf("./test_data/0.json.gz"); + HypergraphIO::ReadFromJSON(rf.stream(), &hg); + hg.Reweight(wts); + + Hypergraph hg2; + ReadFile rf2("./test_data/1.json.gz"); + HypergraphIO::ReadFromJSON(rf2.stream(), &hg2); + hg2.Reweight(wts); + + vector > refs1(4); + TD::ConvertSentence(ref11, &refs1[0]); + TD::ConvertSentence(ref21, &refs1[1]); + TD::ConvertSentence(ref31, &refs1[2]); + TD::ConvertSentence(ref41, &refs1[3]); + vector > refs2(4); + TD::ConvertSentence(ref12, &refs2[0]); + TD::ConvertSentence(ref22, &refs2[1]); + TD::ConvertSentence(ref32, &refs2[2]); + TD::ConvertSentence(ref42, &refs2[3]); + ScoreType type = ScoreTypeFromString("ibm_bleu"); + SentenceScorer* scorer1 = SentenceScorer::CreateSentenceScorer(type, refs1); + SentenceScorer* scorer2 = SentenceScorer::CreateSentenceScorer(type, refs2); + vector envs(2); + + RandomNumberGenerator rng; + + vector > axes; + LineOptimizer::CreateOptimizationDirections( + to_optimize, + 10, + &rng, + &axes); + assert(axes.size() == 10 + to_optimize.size()); + for (int i = 0; i < axes.size(); ++i) + cerr << axes[i] << endl; + const SparseVector& axis = axes[0]; + + cerr << "Computing Viterbi envelope using inside algorithm...\n"; + cerr << "axis: " << axis << endl; + clock_t t_start=clock(); + ViterbiEnvelopeWeightFunction wf(wts, axis); + envs[0] = Inside(hg, NULL, wf); + envs[1] = Inside(hg2, NULL, wf); + + vector es(2); + scorer1->ComputeErrorSurface(envs[0], &es[0], IBM_BLEU, hg); + scorer2->ComputeErrorSurface(envs[1], &es[1], IBM_BLEU, hg2); + cerr << envs[0].size() << " " << envs[1].size() << endl; + cerr << es[0].size() << " " << es[1].size() << endl; + envs.clear(); + clock_t t_env=clock(); + float score; + double m = LineOptimizer::LineOptimize(es, LineOptimizer::MAXIMIZE_SCORE, &score); + clock_t t_opt=clock(); + cerr << "line optimizer returned: " << m << " (SCORE=" << score << ")\n"; + EXPECT_FLOAT_EQ(0.48719698, score); + SparseVector res = axis; + res *= m; + res += wts; + cerr << "res: " << res << endl; + cerr << "ENVELOPE PROCESSING=" << (static_cast(t_env - t_start) / 1000.0) << endl; + cerr << " LINE OPTIMIZATION=" << (static_cast(t_opt - t_env) / 1000.0) << endl; + hg.Reweight(res); + hg2.Reweight(res); + vector t1,t2; + ViterbiESentence(hg, &t1); + ViterbiESentence(hg2, &t2); + cerr << TD::GetString(t1) << endl; + cerr << TD::GetString(t2) << endl; + delete scorer1; + delete scorer2; +} + +int main(int argc, char **argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} + diff --git a/vest/mbr_kbest.cc b/vest/mbr_kbest.cc new file mode 100644 index 00000000..5d70b4e2 --- /dev/null +++ b/vest/mbr_kbest.cc @@ -0,0 +1,140 @@ +#include +#include + +#include + +#include "prob.h" +#include "tdict.h" +#include "scorer.h" +#include "filelib.h" +#include "stringlib.h" + +using namespace std; + +namespace po = boost::program_options; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("scale,a",po::value()->default_value(1.0), "Posterior scaling factor (alpha)") + ("loss_function,l",po::value()->default_value("bleu"), "Loss function") + ("input,i",po::value()->default_value("-"), "File to read k-best lists from") + ("output_list,L", "Show reranked list as output") + ("help,h", "Help"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + bool flag = false; + if (flag || conf->count("help")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +struct LossComparer { + bool operator()(const pair, double>& a, const pair, double>& b) const { + return a.second < b.second; + } +}; + +bool ReadKBestList(istream* in, string* sent_id, vector, prob_t> >* list) { + static string cache_id; + static pair, prob_t> cache_pair; + list->clear(); + string cur_id; + if (cache_pair.first.size() > 0) { + list->push_back(cache_pair); + cur_id = cache_id; + cache_pair.first.clear(); + } + string line; + string tstr; + while(*in) { + getline(*in, line); + if (line.empty()) continue; + size_t p1 = line.find(" ||| "); + if (p1 == string::npos) { cerr << "Bad format: " << line << endl; abort(); } + size_t p2 = line.find(" ||| ", p1 + 4); + if (p2 == string::npos) { cerr << "Bad format: " << line << endl; abort(); } + size_t p3 = line.rfind(" ||| "); + cache_id = line.substr(0, p1); + tstr = line.substr(p1 + 5, p2 - p1 - 5); + double val = strtod(line.substr(p3 + 5).c_str(), NULL); + TD::ConvertSentence(tstr, &cache_pair.first); + cache_pair.second.logeq(val); + if (cur_id.empty()) cur_id = cache_id; + if (cur_id == cache_id) { + list->push_back(cache_pair); + *sent_id = cur_id; + cache_pair.first.clear(); + } else { break; } + } + return !list->empty(); +} + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + const string metric = conf["loss_function"].as(); + const bool output_list = conf.count("output_list") > 0; + const string file = conf["input"].as(); + const double mbr_scale = conf["scale"].as(); + cerr << "Posterior scaling factor (alpha) = " << mbr_scale << endl; + + ScoreType type = ScoreTypeFromString(metric); + vector, prob_t> > list; + ReadFile rf(file); + string sent_id; + while(ReadKBestList(rf.stream(), &sent_id, &list)) { + vector joints(list.size()); + const prob_t max_score = pow(list.front().second, mbr_scale); + prob_t marginal = prob_t::Zero(); + for (int i = 0 ; i < list.size(); ++i) { + const prob_t joint = pow(list[i].second, mbr_scale) / max_score; + joints[i] = joint; + // cerr << "list[" << i << "] joint=" << log(joint) << endl; + marginal += joint; + } + int mbr_idx = -1; + vector mbr_scores(output_list ? list.size() : 0); + double mbr_loss = numeric_limits::max(); + for (int i = 0 ; i < list.size(); ++i) { + vector > refs(1, list[i].first); + //cerr << i << ": " << list[i].second <<"\t" << TD::GetString(list[i].first) << endl; + SentenceScorer* scorer = SentenceScorer::CreateSentenceScorer(type, refs); + double wl_acc = 0; + for (int j = 0; j < list.size(); ++j) { + if (i != j) { + Score* s = scorer->ScoreCandidate(list[j].first); + double loss = 1.0 - s->ComputeScore(); + if (type == TER || type == AER) loss = 1.0 - loss; + delete s; + double weighted_loss = loss * (joints[j] / marginal); + wl_acc += weighted_loss; + if ((!output_list) && wl_acc > mbr_loss) break; + } + } + if (output_list) mbr_scores[i] = wl_acc; + if (wl_acc < mbr_loss) { + mbr_loss = wl_acc; + mbr_idx = i; + } + delete scorer; + } + // cerr << "ML translation: " << TD::GetString(list[0].first) << endl; + cerr << "MBR Best idx: " << mbr_idx << endl; + if (output_list) { + for (int i = 0; i < list.size(); ++i) + list[i].second.logeq(mbr_scores[i]); + sort(list.begin(), list.end(), LossComparer()); + for (int i = 0; i < list.size(); ++i) + cout << sent_id << " ||| " + << TD::GetString(list[i].first) << " ||| " + << log(list[i].second) << endl; + } else { + cout << TD::GetString(list[mbr_idx].first) << endl; + } + } + return 0; +} + diff --git a/vest/mr_vest_generate_mapper_input.cc b/vest/mr_vest_generate_mapper_input.cc new file mode 100644 index 00000000..c96a61e4 --- /dev/null +++ b/vest/mr_vest_generate_mapper_input.cc @@ -0,0 +1,72 @@ +#include +#include + +#include +#include + +#include "filelib.h" +#include "weights.h" +#include "line_optimizer.h" + +using namespace std; +namespace po = boost::program_options; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("dev_set_size,s",po::value(),"[REQD] Development set size (# of parallel sentences)") + ("forest_repository,r",po::value(),"[REQD] Path to forest repository") + ("weights,w",po::value(),"[REQD] Current feature weights file") + ("optimize_feature,o",po::value >(), "Feature to optimize (if none specified, all weights listed in the weights file will be optimized)") + ("random_directions,d",po::value()->default_value(20),"Number of random directions to run the line optimizer in") + ("help,h", "Help"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + bool flag = false; + if (conf->count("dev_set_size") == 0) { + cerr << "Please specify the size of the development set using -d N\n"; + flag = true; + } + if (conf->count("weights") == 0) { + cerr << "Please specify the starting-point weights using -w \n"; + flag = true; + } + if (conf->count("forest_repository") == 0) { + cerr << "Please specify the forest repository location using -r \n"; + flag = true; + } + if (flag || conf->count("help")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +int main(int argc, char** argv) { + RandomNumberGenerator rng; + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + Weights weights; + vector features; + weights.InitFromFile(conf["weights"].as(), &features); + const string forest_repository = conf["forest_repository"].as(); + assert(DirectoryExists(forest_repository)); + SparseVector origin; + weights.InitSparseVector(&origin); + if (conf.count("optimize_feature") > 0) + features=conf["optimize_feature"].as >(); + vector > axes; + vector fids(features.size()); + for (int i = 0; i < features.size(); ++i) + fids[i] = FD::Convert(features[i]); + LineOptimizer::CreateOptimizationDirections( + fids, + conf["random_directions"].as(), + &rng, + &axes); + int dev_set_size = conf["dev_set_size"].as(); + for (int i = 0; i < dev_set_size; ++i) + for (int j = 0; j < axes.size(); ++j) + cout << forest_repository << '/' << i << ".json.gz " << i << ' ' << origin << ' ' << axes[j] << endl; + return 0; +} diff --git a/vest/mr_vest_map.cc b/vest/mr_vest_map.cc new file mode 100644 index 00000000..d1ba159f --- /dev/null +++ b/vest/mr_vest_map.cc @@ -0,0 +1,99 @@ +#include +#include +#include +#include + +#include +#include + +#include "filelib.h" +#include "stringlib.h" +#include "sparse_vector.h" +#include "scorer.h" +#include "viterbi_envelope.h" +#include "inside_outside.h" +#include "error_surface.h" +#include "hg.h" +#include "hg_io.h" + +using namespace std; +namespace po = boost::program_options; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("reference,r",po::value >(), "[REQD] Reference translation (tokenized text)") + ("source,s",po::value(), "Source file (ignored, except for AER)") + ("loss_function,l",po::value()->default_value("ibm_bleu"), "Loss function being optimized") + ("help,h", "Help"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + bool flag = false; + if (!conf->count("reference")) { + cerr << "Please specify one or more references using -r \n"; + flag = true; + } + if (flag || conf->count("help")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +bool ReadSparseVectorString(const string& s, SparseVector* v) { + vector fields; + Tokenize(s, ';', &fields); + if (fields.empty()) return false; + for (int i = 0; i < fields.size(); ++i) { + vector pair(2); + Tokenize(fields[i], '=', &pair); + if (pair.size() != 2) { + cerr << "Error parsing vector string: " << fields[i] << endl; + return false; + } + v->set_value(FD::Convert(pair[0]), atof(pair[1].c_str())); + } + return true; +} + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + const string loss_function = conf["loss_function"].as(); + ScoreType type = ScoreTypeFromString(loss_function); + DocScorer ds(type, conf["reference"].as >(), conf["source"].as()); + cerr << "Loaded " << ds.size() << " references for scoring with " << loss_function << endl; + Hypergraph hg; + string last_file; + while(cin) { + string line; + getline(cin, line); + if (line.empty()) continue; + istringstream is(line); + int sent_id; + string file, s_origin, s_axis; + is >> file >> sent_id >> s_origin >> s_axis; + SparseVector origin; + assert(ReadSparseVectorString(s_origin, &origin)); + SparseVector axis; + assert(ReadSparseVectorString(s_axis, &axis)); + // cerr << "File: " << file << "\nAxis: " << axis << "\n X: " << origin << endl; + if (last_file != file) { + last_file = file; + ReadFile rf(file); + HypergraphIO::ReadFromJSON(rf.stream(), &hg); + } + ViterbiEnvelopeWeightFunction wf(origin, axis); + ViterbiEnvelope ve = Inside(hg, NULL, wf); + ErrorSurface es; + ds[sent_id]->ComputeErrorSurface(ve, &es, type, hg); + //cerr << "Viterbi envelope has " << ve.size() << " segments\n"; + // cerr << "Error surface has " << es.size() << " segments\n"; + string val; + es.Serialize(&val); + cout << 'M' << ' ' << s_origin << ' ' << s_axis << '\t'; + B64::b64encode(val.c_str(), val.size(), &cout); + cout << endl; + } + return 0; +} diff --git a/vest/mr_vest_reduce.cc b/vest/mr_vest_reduce.cc new file mode 100644 index 00000000..5efcc19a --- /dev/null +++ b/vest/mr_vest_reduce.cc @@ -0,0 +1,81 @@ +#include +#include +#include +#include + +#include +#include + +#include "sparse_vector.h" +#include "error_surface.h" +#include "line_optimizer.h" +#include "hg_io.h" + +using namespace std; +namespace po = boost::program_options; + +void InitCommandLine(int argc, char** argv, po::variables_map* conf) { + po::options_description opts("Configuration options"); + opts.add_options() + ("loss_function,l",po::value(), "Loss function being optimized") + ("help,h", "Help"); + po::options_description dcmdline_options; + dcmdline_options.add(opts); + po::store(parse_command_line(argc, argv, dcmdline_options), *conf); + bool flag = conf->count("loss_function") == 0; + if (flag || conf->count("help")) { + cerr << dcmdline_options << endl; + exit(1); + } +} + +int main(int argc, char** argv) { + po::variables_map conf; + InitCommandLine(argc, argv, &conf); + const string loss_function = conf["loss_function"].as(); + ScoreType type = ScoreTypeFromString(loss_function); + LineOptimizer::ScoreType opt_type = LineOptimizer::MAXIMIZE_SCORE; + if (type == TER || type == AER) { + opt_type = LineOptimizer::MINIMIZE_SCORE; + } + string last_key; + vector esv; + while(cin) { + string line; + getline(cin, line); + if (line.empty()) continue; + size_t ks = line.find("\t"); + assert(string::npos != ks); + assert(ks > 2); + string key = line.substr(2, ks - 2); + string val = line.substr(ks + 1); + if (key != last_key) { + if (!last_key.empty()) { + float score; + double x = LineOptimizer::LineOptimize(esv, opt_type, &score); + cout << last_key << "|" << x << "|" << score << endl; + } + last_key = key; + esv.clear(); + } + if (val.size() % 4 != 0) { + cerr << "B64 encoding error 1! Skipping.\n"; + continue; + } + string encoded(val.size() / 4 * 3, '\0'); + if (!B64::b64decode(reinterpret_cast(&val[0]), val.size(), &encoded[0], encoded.size())) { + cerr << "B64 encoding error 2! Skipping.\n"; + continue; + } + esv.push_back(ErrorSurface()); + esv.back().Deserialize(type, encoded); + } + if (!esv.empty()) { + // cerr << "ESV=" << esv.size() << endl; + // for (int i = 0; i < esv.size(); ++i) { cerr << esv[i].size() << endl; } + float score; + double x = LineOptimizer::LineOptimize(esv, opt_type, &score); + cout << last_key << "|" << x << "|" << score << endl; + } + return 0; +} diff --git a/vest/scorer.cc b/vest/scorer.cc new file mode 100644 index 00000000..53a17917 --- /dev/null +++ b/vest/scorer.cc @@ -0,0 +1,534 @@ +#include "scorer.h" + +#include +#include +#include +#include +#include +#include + +#include + +#include "filelib.h" +#include "aligner.h" +#include "viterbi_envelope.h" +#include "error_surface.h" +#include "ter.h" +#include "aer_scorer.h" +#include "comb_scorer.h" +#include "tdict.h" +#include "stringlib.h" +#include "lattice.h" + +using boost::shared_ptr; +using namespace std; + +const bool minimize_segments = true; // if adjacent segments have equal scores, merge them + +ScoreType ScoreTypeFromString(const string& st) { + const string sl = LowercaseString(st); + if (sl == "ser") + return SER; + if (sl == "ter") + return TER; + if (sl == "aer") + return AER; + if (sl == "bleu" || sl == "ibm_bleu") + return IBM_BLEU; + if (sl == "nist_bleu") + return NIST_BLEU; + if (sl == "koehn_bleu") + return Koehn_BLEU; + if (sl == "combi") + return BLEU_minus_TER_over_2; + cerr << "Don't understand score type '" << sl << "', defaulting to ibm_bleu.\n"; + return IBM_BLEU; +} + +Score::~Score() {} +SentenceScorer::~SentenceScorer() {} +const std::string* SentenceScorer::GetSource() const { return NULL; } + +class SERScore : public Score { + friend class SERScorer; + public: + SERScore() : correct(0), total(0) {} + float ComputeScore() const { + return static_cast(correct) / static_cast(total); + } + void ScoreDetails(string* details) const { + ostringstream os; + os << "SER= " << ComputeScore() << " (" << correct << '/' << total << ')'; + *details = os.str(); + } + void PlusEquals(const Score& delta) { + correct += static_cast(delta).correct; + total += static_cast(delta).total; + } + Score* GetZero() const { return new SERScore; } + void Subtract(const Score& rhs, Score* res) const { + SERScore* r = static_cast(res); + r->correct = correct - static_cast(rhs).correct; + r->total = total - static_cast(rhs).total; + } + void Encode(string* out) const { + assert(!"not implemented"); + } + bool IsAdditiveIdentity() const { + return (total == 0 && correct == 0); // correct is always 0 <= n <= total + } + private: + int correct, total; +}; + +class SERScorer : public SentenceScorer { + public: + SERScorer(const vector >& references) : refs_(references) {} + Score* ScoreCandidate(const vector& hyp) const { + SERScore* res = new SERScore; + res->total = 1; + for (int i = 0; i < refs_.size(); ++i) + if (refs_[i] == hyp) res->correct = 1; + return res; + } + static Score* ScoreFromString(const string& data) { + assert(!"Not implemented"); + } + private: + vector > refs_; +}; + +class BLEUScore : public Score { + friend class BLEUScorerBase; + public: + BLEUScore(int n) : correct_ngram_hit_counts(0,n), hyp_ngram_counts(0,n) { + ref_len = 0; + hyp_len = 0; } + float ComputeScore() const; + void ScoreDetails(string* details) const; + void PlusEquals(const Score& delta); + Score* GetZero() const; + void Subtract(const Score& rhs, Score* res) const; + void Encode(string* out) const; + bool IsAdditiveIdentity() const { + if (fabs(ref_len) > 0.1f || hyp_len != 0) return false; + for (int i = 0; i < correct_ngram_hit_counts.size(); ++i) + if (hyp_ngram_counts[i] != 0 || + correct_ngram_hit_counts[i] != 0) return false; + return true; + } + private: + float ComputeScore(vector* precs, float* bp) const; + valarray correct_ngram_hit_counts; + valarray hyp_ngram_counts; + float ref_len; + int hyp_len; +}; + +class BLEUScorerBase : public SentenceScorer { + public: + BLEUScorerBase(const vector >& references, + int n + ); + Score* ScoreCandidate(const vector& hyp) const; + static Score* ScoreFromString(const string& in); + + protected: + virtual float ComputeRefLength(const vector& hyp) const = 0; + private: + struct NGramCompare { + int operator() (const vector& a, const vector& b) { + size_t as = a.size(); + size_t bs = b.size(); + const size_t s = (as < bs ? as : bs); + for (size_t i = 0; i < s; ++i) { + int d = a[i] - b[i]; + if (d < 0) return true; + if (d > 0) return false; + } + return as < bs; + } + }; + typedef map, pair, NGramCompare> NGramCountMap; + void CountRef(const vector& ref) { + NGramCountMap tc; + vector ngram(n_); + int s = ref.size(); + for (int j=0; j& p = ngrams_[i->first]; + if (p.first < i->second.first) + p = i->second; + } + } + + void ComputeNgramStats(const vector& sent, + valarray* correct, + valarray* hyp) const { + assert(correct->size() == n_); + assert(hyp->size() == n_); + vector ngram(n_); + (*correct) *= 0; + (*hyp) *= 0; + int s = sent.size(); + for (int j=0; j& p = ngrams_[ngram]; + if (p.second < p.first) { + ++p.second; + (*correct)[i-1]++; + } + // if the 1 gram isn't found, don't try to match don't need to match any 2- 3- .. grams: + if (!p.first) { + for (; i<=k; ++i) + (*hyp)[i-1]++; + } else { + (*hyp)[i-1]++; + } + } + } + } + + mutable NGramCountMap ngrams_; + int n_; + vector lengths_; +}; + +Score* BLEUScorerBase::ScoreFromString(const string& in) { + istringstream is(in); + int n; + is >> n; + BLEUScore* r = new BLEUScore(n); + is >> r->ref_len >> r->hyp_len; + + for (int i = 0; i < n; ++i) { + is >> r->correct_ngram_hit_counts[i]; + is >> r->hyp_ngram_counts[i]; + } + return r; +} + +class IBM_BLEUScorer : public BLEUScorerBase { + public: + IBM_BLEUScorer(const vector >& references, + int n=4) : BLEUScorerBase(references, n), lengths_(references.size()) { + for (int i=0; i < references.size(); ++i) + lengths_[i] = references[i].size(); + } + protected: + float ComputeRefLength(const vector& hyp) const { + if (lengths_.size() == 1) return lengths_[0]; + int bestd = 2000000; + int hl = hyp.size(); + int bl = -1; + for (vector::const_iterator ci = lengths_.begin(); ci != lengths_.end(); ++ci) { + int cl = *ci; + if (abs(cl - hl) < bestd) { + bestd = abs(cl - hl); + bl = cl; + } + } + return bl; + } + private: + vector lengths_; +}; + +class NIST_BLEUScorer : public BLEUScorerBase { + public: + NIST_BLEUScorer(const vector >& references, + int n=4) : BLEUScorerBase(references, n), + shortest_(references[0].size()) { + for (int i=1; i < references.size(); ++i) + if (references[i].size() < shortest_) + shortest_ = references[i].size(); + } + protected: + float ComputeRefLength(const vector& hyp) const { + return shortest_; + } + private: + float shortest_; +}; + +class Koehn_BLEUScorer : public BLEUScorerBase { + public: + Koehn_BLEUScorer(const vector >& references, + int n=4) : BLEUScorerBase(references, n), + avg_(0) { + for (int i=0; i < references.size(); ++i) + avg_ += references[i].size(); + avg_ /= references.size(); + } + protected: + float ComputeRefLength(const vector& hyp) const { + return avg_; + } + private: + float avg_; +}; + +SentenceScorer* SentenceScorer::CreateSentenceScorer(const ScoreType type, + const vector >& refs, + const string& src) { + switch (type) { + case IBM_BLEU: return new IBM_BLEUScorer(refs, 4); + case NIST_BLEU: return new NIST_BLEUScorer(refs, 4); + case Koehn_BLEU: return new Koehn_BLEUScorer(refs, 4); + case AER: return new AERScorer(refs, src); + case TER: return new TERScorer(refs); + case SER: return new SERScorer(refs); + case BLEU_minus_TER_over_2: return new BLEUTERCombinationScorer(refs); + default: + assert(!"Not implemented!"); + } +} + +Score* SentenceScorer::CreateScoreFromString(const ScoreType type, const string& in) { + switch (type) { + case IBM_BLEU: + case NIST_BLEU: + case Koehn_BLEU: + return BLEUScorerBase::ScoreFromString(in); + case TER: + return TERScorer::ScoreFromString(in); + case AER: + return AERScorer::ScoreFromString(in); + case SER: + return SERScorer::ScoreFromString(in); + case BLEU_minus_TER_over_2: + return BLEUTERCombinationScorer::ScoreFromString(in); + default: + assert(!"Not implemented!"); + } +} + +void SentenceScorer::ComputeErrorSurface(const ViterbiEnvelope& ve, ErrorSurface* env, const ScoreType type, const Hypergraph& hg) const { + vector prev_trans; + const vector >& ienv = ve.GetSortedSegs(); + env->resize(ienv.size()); + Score* prev_score = NULL; + int j = 0; + for (int i = 0; i < ienv.size(); ++i) { + const Segment& seg = *ienv[i]; + vector trans; + if (type == AER) { + vector edges(hg.edges_.size(), false); + seg.CollectEdgesUsed(&edges); // get the set of edges in the viterbi + // alignment + ostringstream os; + const string* psrc = this->GetSource(); + if (psrc == NULL) { + cerr << "AER scoring in VEST requires source, but it is missing!\n"; + abort(); + } + size_t pos = psrc->rfind(" ||| "); + if (pos == string::npos) { + cerr << "Malformed source for AER: expected |||\nINPUT: " << *psrc << endl; + abort(); + } + Lattice src; + Lattice ref; + LatticeTools::ConvertTextOrPLF(psrc->substr(0, pos), &src); + LatticeTools::ConvertTextOrPLF(psrc->substr(pos + 5), &ref); + AlignerTools::WriteAlignment(src, ref, hg, &os, true, &edges); + string tstr = os.str(); + TD::ConvertSentence(tstr.substr(tstr.rfind(" ||| ") + 5), &trans); + } else { + seg.ConstructTranslation(&trans); + } + // cerr << "Scoring: " << TD::GetString(trans) << endl; + if (trans == prev_trans) { + if (!minimize_segments) { + assert(prev_score); // if this fails, it means + // the decoder can generate null translations + ErrorSegment& out = (*env)[j]; + out.delta = prev_score->GetZero(); + out.x = seg.x; + ++j; + } + // cerr << "Identical translation, skipping scoring\n"; + } else { + Score* score = ScoreCandidate(trans); + // cerr << "score= " << score->ComputeScore() << "\n"; + Score* cur_delta = score->GetZero(); + // just record the score diffs + if (!prev_score) + prev_score = score->GetZero(); + + score->Subtract(*prev_score, cur_delta); + delete prev_score; + prev_trans.swap(trans); + prev_score = score; + if ((!minimize_segments) || (!cur_delta->IsAdditiveIdentity())) { + ErrorSegment& out = (*env)[j]; + out.delta = cur_delta; + out.x = seg.x; + ++j; + } + } + } + delete prev_score; + // cerr << " In segments: " << ienv.size() << endl; + // cerr << "Out segments: " << j << endl; + assert(j > 0); + env->resize(j); +} + +void BLEUScore::ScoreDetails(string* details) const { + char buf[2000]; + vector precs(4); + float bp; + float bleu = ComputeScore(&precs, &bp); + sprintf(buf, "BLEU = %.2f, %.1f|%.1f|%.1f|%.1f (brev=%.3f)", + bleu*100.0, + precs[0]*100.0, + precs[1]*100.0, + precs[2]*100.0, + precs[3]*100.0, + bp); + *details = buf; +} + +float BLEUScore::ComputeScore(vector* precs, float* bp) const { + float log_bleu = 0; + if (precs) precs->clear(); + int count = 0; + for (int i = 0; i < hyp_ngram_counts.size(); ++i) { + if (hyp_ngram_counts[i] > 0) { + float lprec = log(correct_ngram_hit_counts[i]) - log(hyp_ngram_counts[i]); + if (precs) precs->push_back(exp(lprec)); + log_bleu += lprec; + ++count; + } + } + log_bleu /= static_cast(count); + float lbp = 0.0; + if (hyp_len < ref_len) + lbp = (hyp_len - ref_len) / hyp_len; + log_bleu += lbp; + if (bp) *bp = exp(lbp); + return exp(log_bleu); +} + +float BLEUScore::ComputeScore() const { + return ComputeScore(NULL, NULL); +} + +void BLEUScore::Subtract(const Score& rhs, Score* res) const { + const BLEUScore& d = static_cast(rhs); + BLEUScore* o = static_cast(res); + o->ref_len = ref_len - d.ref_len; + o->hyp_len = hyp_len - d.hyp_len; + o->correct_ngram_hit_counts = correct_ngram_hit_counts - d.correct_ngram_hit_counts; + o->hyp_ngram_counts = hyp_ngram_counts - d.hyp_ngram_counts; +} + +void BLEUScore::PlusEquals(const Score& delta) { + const BLEUScore& d = static_cast(delta); + correct_ngram_hit_counts += d.correct_ngram_hit_counts; + hyp_ngram_counts += d.hyp_ngram_counts; + ref_len += d.ref_len; + hyp_len += d.hyp_len; +} + +Score* BLEUScore::GetZero() const { + return new BLEUScore(hyp_ngram_counts.size()); +} + +void BLEUScore::Encode(string* out) const { + ostringstream os; + const int n = correct_ngram_hit_counts.size(); + os << n << ' ' << ref_len << ' ' << hyp_len; + for (int i = 0; i < n; ++i) + os << ' ' << correct_ngram_hit_counts[i] << ' ' << hyp_ngram_counts[i]; + *out = os.str(); +} + +BLEUScorerBase::BLEUScorerBase(const vector >& references, + int n) : n_(n) { + for (vector >::const_iterator ci = references.begin(); + ci != references.end(); ++ci) { + lengths_.push_back(ci->size()); + CountRef(*ci); + } +} + +Score* BLEUScorerBase::ScoreCandidate(const vector& hyp) const { + BLEUScore* bs = new BLEUScore(n_); + for (NGramCountMap::iterator i=ngrams_.begin(); i != ngrams_.end(); ++i) + i->second.second = 0; + ComputeNgramStats(hyp, &bs->correct_ngram_hit_counts, &bs->hyp_ngram_counts); + bs->ref_len = ComputeRefLength(hyp); + bs->hyp_len = hyp.size(); + return bs; +} + +DocScorer::~DocScorer() { + for (int i=0; i < scorers_.size(); ++i) + delete scorers_[i]; +} + +DocScorer::DocScorer( + const ScoreType type, + const vector& ref_files, + const string& src_file) { + // TODO stop using valarray, start using ReadFile + cerr << "Loading references (" << ref_files.size() << " files)\n"; + shared_ptr srcrf; + if (type == AER && src_file.size() > 0) { + cerr << " (source=" << src_file << ")\n"; + srcrf.reset(new ReadFile(src_file)); + } + valarray ifs(ref_files.size()); + for (int i=0; i < ref_files.size(); ++i) { + ifs[i].open(ref_files[i].c_str()); + assert(ifs[i].good()); + } + char buf[64000]; + bool expect_eof = false; + while (!ifs[0].eof()) { + vector > refs(ref_files.size()); + for (int i=0; i < ref_files.size(); ++i) { + if (ifs[i].eof()) break; + ifs[i].getline(buf, 64000); + refs[i].clear(); + if (strlen(buf) == 0) { + if (ifs[i].eof()) { + if (!expect_eof) { + assert(i == 0); + expect_eof = true; + } + break; + } + } else { + TD::ConvertSentence(buf, &refs[i]); + assert(!refs[i].empty()); + } + assert(!expect_eof); + } + if (!expect_eof) { + string src_line; + if (srcrf) { + getline(*srcrf->stream(), src_line); + map dummy; + ProcessAndStripSGML(&src_line, &dummy); + } + scorers_.push_back(SentenceScorer::CreateSentenceScorer(type, refs, src_line)); + } + } + cerr << "Loaded reference translations for " << scorers_.size() << " sentences.\n"; +} + diff --git a/vest/scorer.h b/vest/scorer.h new file mode 100644 index 00000000..83d4db4c --- /dev/null +++ b/vest/scorer.h @@ -0,0 +1,55 @@ +#ifndef SCORER_H_ +#define SCORER_H_ + +#include +#include + +#include "wordid.h" + +class ViterbiEnvelope; +class ErrorSurface; +class Hypergraph; // needed for alignment + +enum ScoreType { IBM_BLEU, NIST_BLEU, Koehn_BLEU, TER, BLEU_minus_TER_over_2, SER, AER }; +ScoreType ScoreTypeFromString(const std::string& st); + +class Score { + public: + virtual ~Score(); + virtual float ComputeScore() const = 0; + virtual void ScoreDetails(std::string* details) const = 0; + virtual void PlusEquals(const Score& rhs) = 0; + virtual void Subtract(const Score& rhs, Score* res) const = 0; + virtual Score* GetZero() const = 0; + virtual bool IsAdditiveIdentity() const = 0; // returns true if adding this delta + // to another score results in no score change + // under any circumstances + virtual void Encode(std::string* out) const = 0; +}; + +class SentenceScorer { + public: + virtual ~SentenceScorer(); + void ComputeErrorSurface(const ViterbiEnvelope& ve, ErrorSurface* es, const ScoreType type, const Hypergraph& hg) const; + virtual Score* ScoreCandidate(const std::vector& hyp) const = 0; + virtual const std::string* GetSource() const; + static Score* CreateScoreFromString(const ScoreType type, const std::string& in); + static SentenceScorer* CreateSentenceScorer(const ScoreType type, + const std::vector >& refs, + const std::string& src = ""); +}; + +class DocScorer { + public: + ~DocScorer(); + DocScorer( + const ScoreType type, + const std::vector& ref_files, + const std::string& src_file = ""); + int size() const { return scorers_.size(); } + const SentenceScorer* operator[](size_t i) const { return scorers_[i]; } + private: + std::vector scorers_; +}; + +#endif diff --git a/vest/scorer_test.cc b/vest/scorer_test.cc new file mode 100644 index 00000000..74875ab8 --- /dev/null +++ b/vest/scorer_test.cc @@ -0,0 +1,203 @@ +#include +#include +#include +#include + +#include "tdict.h" +#include "scorer.h" +#include "aer_scorer.h" + +using namespace std; + +class ScorerTest : public testing::Test { + protected: + virtual void SetUp() { + refs0.resize(4); + refs1.resize(4); + TD::ConvertSentence("export of high-tech products in guangdong in first two months this year reached 3.76 billion us dollars", &refs0[0]); + TD::ConvertSentence("guangdong's export of new high technology products amounts to us $ 3.76 billion in first two months of this year", &refs0[1]); + TD::ConvertSentence("guangdong exports us $ 3.76 billion worth of high technology products in the first two months of this year", &refs0[2]); + TD::ConvertSentence("in the first 2 months this year , the export volume of new hi-tech products in guangdong province reached 3.76 billion us dollars .", &refs0[3]); + TD::ConvertSentence("xinhua news agency , guangzhou , march 16 ( reporter chen ji ) the latest statistics show that from january through february this year , the export of high-tech products in guangdong province reached 3.76 billion us dollars , up 34.8 \% over the same period last year and accounted for 25.5 \% of the total export in the province .", &refs1[0]); + TD::ConvertSentence("xinhua news agency , guangzhou , march 16 ( reporter : chen ji ) -- latest statistic indicates that guangdong's export of new high technology products amounts to us $ 3.76 billion , up 34.8 \% over corresponding period and accounts for 25.5 \% of the total exports of the province .", &refs1[1]); + TD::ConvertSentence("xinhua news agency report of march 16 from guangzhou ( by staff reporter chen ji ) - latest statistics indicate guangdong province exported us $ 3.76 billion worth of high technology products , up 34.8 percent from the same period last year , which account for 25.5 percent of the total exports of the province .", &refs1[2]); + TD::ConvertSentence("guangdong , march 16 , ( xinhua ) -- ( chen ji reports ) as the newest statistics shows , in january and feberuary this year , the export volume of new hi-tech products in guangdong province reached 3.76 billion us dollars , up 34.8 \% than last year , making up 25.5 \% of the province's total .", &refs1[3]); + TD::ConvertSentence("one guangdong province will next export us $ 3.76 high-tech product two months first this year 3.76 billion us dollars", &hyp1); + TD::ConvertSentence("xinhua news agency , guangzhou , 16th of march ( reporter chen ) -- latest statistics suggest that guangdong exports new advanced technology product totals $ 3.76 million , 34.8 percent last corresponding period and accounts for 25.5 percent of the total export province .", &hyp2); + } + + virtual void TearDown() { } + + vector > refs0; + vector > refs1; + vector hyp1; + vector hyp2; +}; + +TEST_F(ScorerTest, TestCreateFromFiles) { + vector files; + files.push_back("test_data/re.txt.0"); + files.push_back("test_data/re.txt.1"); + files.push_back("test_data/re.txt.2"); + files.push_back("test_data/re.txt.3"); + DocScorer ds(IBM_BLEU, files); +} + +TEST_F(ScorerTest, TestBLEUScorer) { + SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs0); + SentenceScorer* s2 = SentenceScorer::CreateSentenceScorer(IBM_BLEU, refs1); + Score* b1 = s1->ScoreCandidate(hyp1); + EXPECT_FLOAT_EQ(0.23185077, b1->ComputeScore()); + Score* b2 = s2->ScoreCandidate(hyp2); + EXPECT_FLOAT_EQ(0.38101241, b2->ComputeScore()); + b1->PlusEquals(*b2); + EXPECT_FLOAT_EQ(0.348854, b1->ComputeScore()); + EXPECT_FALSE(b1->IsAdditiveIdentity()); + string details; + b1->ScoreDetails(&details); + EXPECT_EQ("BLEU = 34.89, 81.5|50.8|29.5|18.6 (brev=0.898)", details); + cerr << details << endl; + string enc; + b1->Encode(&enc); + Score* b3 = SentenceScorer::CreateScoreFromString(IBM_BLEU, enc); + details.clear(); + cerr << "Encoded BLEU score size: " << enc.size() << endl; + b3->ScoreDetails(&details); + cerr << details << endl; + EXPECT_FALSE(b3->IsAdditiveIdentity()); + EXPECT_EQ("BLEU = 34.89, 81.5|50.8|29.5|18.6 (brev=0.898)", details); + Score* bz = b3->GetZero(); + EXPECT_TRUE(bz->IsAdditiveIdentity()); + delete bz; + delete b1; + delete s1; + delete b2; + delete s2; +} + +TEST_F(ScorerTest, TestTERScorer) { + SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(TER, refs0); + SentenceScorer* s2 = SentenceScorer::CreateSentenceScorer(TER, refs1); + string details; + Score* t1 = s1->ScoreCandidate(hyp1); + t1->ScoreDetails(&details); + cerr << "DETAILS: " << details << endl; + cerr << t1->ComputeScore() << endl; + Score* t2 = s2->ScoreCandidate(hyp2); + t2->ScoreDetails(&details); + cerr << "DETAILS: " << details << endl; + cerr << t2->ComputeScore() << endl; + t1->PlusEquals(*t2); + cerr << t1->ComputeScore() << endl; + t1->ScoreDetails(&details); + cerr << "DETAILS: " << details << endl; + EXPECT_EQ("TER = 44.16, 4| 8| 16| 6 (len=77)", details); + string enc; + t1->Encode(&enc); + Score* t3 = SentenceScorer::CreateScoreFromString(TER, enc); + details.clear(); + t3->ScoreDetails(&details); + EXPECT_EQ("TER = 44.16, 4| 8| 16| 6 (len=77)", details); + EXPECT_FALSE(t3->IsAdditiveIdentity()); + Score* tz = t3->GetZero(); + EXPECT_TRUE(tz->IsAdditiveIdentity()); + delete tz; + delete t3; + delete t1; + delete s1; + delete t2; + delete s2; +} + +TEST_F(ScorerTest, TestTERScorerSimple) { + vector > ref(1); + TD::ConvertSentence("1 2 3 A B", &ref[0]); + vector hyp; + TD::ConvertSentence("A B 1 2 3", &hyp); + SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(TER, ref); + string details; + Score* t1 = s1->ScoreCandidate(hyp); + t1->ScoreDetails(&details); + cerr << "DETAILS: " << details << endl; + delete t1; + delete s1; +} + +TEST_F(ScorerTest, TestSERScorerSimple) { + vector > ref(1); + TD::ConvertSentence("A B C D", &ref[0]); + vector hyp1; + TD::ConvertSentence("A B C", &hyp1); + vector hyp2; + TD::ConvertSentence("A B C D", &hyp2); + SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(SER, ref); + string details; + Score* t1 = s1->ScoreCandidate(hyp1); + t1->ScoreDetails(&details); + cerr << "DETAILS: " << details << endl; + Score* t2 = s1->ScoreCandidate(hyp2); + t2->ScoreDetails(&details); + cerr << "DETAILS: " << details << endl; + t2->PlusEquals(*t1); + t2->ScoreDetails(&details); + cerr << "DETAILS: " << details << endl; + delete t1; + delete t2; + delete s1; +} + +TEST_F(ScorerTest, TestCombiScorer) { + SentenceScorer* s1 = SentenceScorer::CreateSentenceScorer(BLEU_minus_TER_over_2, refs0); + string details; + Score* t1 = s1->ScoreCandidate(hyp1); + t1->ScoreDetails(&details); + cerr << "DETAILS: " << details << endl; + cerr << t1->ComputeScore() << endl; + string enc; + t1->Encode(&enc); + Score* t2 = SentenceScorer::CreateScoreFromString(BLEU_minus_TER_over_2, enc); + details.clear(); + t2->ScoreDetails(&details); + cerr << "DETAILS: " << details << endl; + Score* cz = t2->GetZero(); + EXPECT_FALSE(t2->IsAdditiveIdentity()); + EXPECT_TRUE(cz->IsAdditiveIdentity()); + cz->PlusEquals(*t2); + EXPECT_FALSE(cz->IsAdditiveIdentity()); + string d2; + cz->ScoreDetails(&d2); + EXPECT_EQ(d2, details); + delete cz; + delete t2; + delete t1; +} + +TEST_F(ScorerTest, AERTest) { + vector > refs0(1); + TD::ConvertSentence("0-0 2-1 1-2 3-3", &refs0[0]); + + vector hyp; + TD::ConvertSentence("0-0 1-1", &hyp); + AERScorer* as = new AERScorer(refs0); + Score* x = as->ScoreCandidate(hyp); + string details; + x->ScoreDetails(&details); + cerr << details << endl; + string enc; + x->Encode(&enc); + delete x; + delete as; + cerr << "ENC size: " << enc.size() << endl; + Score* y = SentenceScorer::CreateScoreFromString(AER, enc); + string d2; + y->ScoreDetails(&d2); + cerr << d2 << endl; + delete y; + EXPECT_EQ(d2, details); +} + +int main(int argc, char **argv) { + testing::InitGoogleTest(&argc, argv); + return RUN_ALL_TESTS(); +} + diff --git a/vest/ter.cc b/vest/ter.cc new file mode 100644 index 00000000..ef66f3b7 --- /dev/null +++ b/vest/ter.cc @@ -0,0 +1,518 @@ +#include "ter.h" + +#include +#include +#include +#include +#include +#include +#include +#include +#include + +#include "tdict.h" + +const bool ter_use_average_ref_len = true; +const int ter_short_circuit_long_sentences = -1; + +using namespace std; +using namespace std::tr1; + +struct COSTS { + static const float substitution; + static const float deletion; + static const float insertion; + static const float shift; +}; +const float COSTS::substitution = 1.0f; +const float COSTS::deletion = 1.0f; +const float COSTS::insertion = 1.0f; +const float COSTS::shift = 1.0f; + +static const int MAX_SHIFT_SIZE = 10; +static const int MAX_SHIFT_DIST = 50; + +struct Shift { + unsigned int d_; + Shift() : d_() {} + Shift(int b, int e, int m) : d_() { + begin(b); + end(e); + moveto(m); + } + inline int begin() const { + return d_ & 0x3ff; + } + inline int end() const { + return (d_ >> 10) & 0x3ff; + } + inline int moveto() const { + int m = (d_ >> 20) & 0x7ff; + if (m > 1024) { m -= 1024; m *= -1; } + return m; + } + inline void begin(int b) { + d_ &= 0xfffffc00u; + d_ |= (b & 0x3ff); + } + inline void end(int e) { + d_ &= 0xfff003ffu; + d_ |= (e & 0x3ff) << 10; + } + inline void moveto(int m) { + bool neg = (m < 0); + if (neg) { m *= -1; m += 1024; } + d_ &= 0xfffff; + d_ |= (m & 0x7ff) << 20; + } +}; + +class TERScorerImpl { + + public: + enum TransType { MATCH, SUBSTITUTION, INSERTION, DELETION }; + + explicit TERScorerImpl(const vector& ref) : ref_(ref) { + for (int i = 0; i < ref.size(); ++i) + rwexists_.insert(ref[i]); + } + + float Calculate(const vector& hyp, int* subs, int* ins, int* dels, int* shifts) const { + return CalculateAllShifts(hyp, subs, ins, dels, shifts); + } + + inline int GetRefLength() const { + return ref_.size(); + } + + private: + vector ref_; + set rwexists_; + + typedef unordered_map, set, boost::hash > > NgramToIntsMap; + mutable NgramToIntsMap nmap_; + + static float MinimumEditDistance( + const vector& hyp, + const vector& ref, + vector* path) { + vector > bmat(hyp.size() + 1, vector(ref.size() + 1, MATCH)); + vector > cmat(hyp.size() + 1, vector(ref.size() + 1, 0)); + for (int i = 0; i <= hyp.size(); ++i) + cmat[i][0] = i; + for (int j = 0; j <= ref.size(); ++j) + cmat[0][j] = j; + for (int i = 1; i <= hyp.size(); ++i) { + const WordID& hw = hyp[i-1]; + for (int j = 1; j <= ref.size(); ++j) { + const WordID& rw = ref[j-1]; + float& cur_c = cmat[i][j]; + TransType& cur_b = bmat[i][j]; + + if (rw == hw) { + cur_c = cmat[i-1][j-1]; + cur_b = MATCH; + } else { + cur_c = cmat[i-1][j-1] + COSTS::substitution; + cur_b = SUBSTITUTION; + } + float cwoi = cmat[i-1][j]; + if (cur_c > cwoi + COSTS::insertion) { + cur_c = cwoi + COSTS::insertion; + cur_b = INSERTION; + } + float cwod = cmat[i][j-1]; + if (cur_c > cwod + COSTS::deletion) { + cur_c = cwod + COSTS::deletion; + cur_b = DELETION; + } + } + } + + // trace back along the best path and record the transition types + path->clear(); + int i = hyp.size(); + int j = ref.size(); + while (i > 0 || j > 0) { + if (j == 0) { + --i; + path->push_back(INSERTION); + } else if (i == 0) { + --j; + path->push_back(DELETION); + } else { + TransType t = bmat[i][j]; + path->push_back(t); + switch (t) { + case SUBSTITUTION: + case MATCH: + --i; --j; break; + case INSERTION: + --i; break; + case DELETION: + --j; break; + } + } + } + reverse(path->begin(), path->end()); + return cmat[hyp.size()][ref.size()]; + } + + void BuildWordMatches(const vector& hyp, NgramToIntsMap* nmap) const { + nmap->clear(); + set exists_both; + for (int i = 0; i < hyp.size(); ++i) + if (rwexists_.find(hyp[i]) != rwexists_.end()) + exists_both.insert(hyp[i]); + for (int start=0; start cp; + int mlen = min(MAX_SHIFT_SIZE, static_cast(ref_.size() - start)); + for (int len=0; len& in, + int start, int end, int moveto, vector* out) { + // cerr << "ps: " << start << " " << end << " " << moveto << endl; + out->clear(); + if (moveto == -1) { + for (int i = start; i <= end; ++i) + out->push_back(in[i]); + for (int i = 0; i < start; ++i) + out->push_back(in[i]); + for (int i = end+1; i < in.size(); ++i) + out->push_back(in[i]); + } else if (moveto < start) { + for (int i = 0; i <= moveto; ++i) + out->push_back(in[i]); + for (int i = start; i <= end; ++i) + out->push_back(in[i]); + for (int i = moveto+1; i < start; ++i) + out->push_back(in[i]); + for (int i = end+1; i < in.size(); ++i) + out->push_back(in[i]); + } else if (moveto > end) { + for (int i = 0; i < start; ++i) + out->push_back(in[i]); + for (int i = end+1; i <= moveto; ++i) + out->push_back(in[i]); + for (int i = start; i <= end; ++i) + out->push_back(in[i]); + for (int i = moveto+1; i < in.size(); ++i) + out->push_back(in[i]); + } else { + for (int i = 0; i < start; ++i) + out->push_back(in[i]); + for (int i = end+1; (i < in.size()) && (i <= end + (moveto - start)); ++i) + out->push_back(in[i]); + for (int i = start; i <= end; ++i) + out->push_back(in[i]); + for (int i = (end + (moveto - start))+1; i < in.size(); ++i) + out->push_back(in[i]); + } + if (out->size() != in.size()) { + cerr << "ps: " << start << " " << end << " " << moveto << endl; + cerr << "in=" << TD::GetString(in) << endl; + cerr << "out=" << TD::GetString(*out) << endl; + } + assert(out->size() == in.size()); + // cerr << "ps: " << TD::GetString(*out) << endl; + } + + void GetAllPossibleShifts(const vector& hyp, + const vector& ralign, + const vector& herr, + const vector& rerr, + const int min_size, + vector >* shifts) const { + for (int start = 0; start < hyp.size(); ++start) { + vector cp(1, hyp[start]); + NgramToIntsMap::iterator niter = nmap_.find(cp); + if (niter == nmap_.end()) continue; + bool ok = false; + int moveto; + for (set::iterator i = niter->second.begin(); i != niter->second.end(); ++i) { + moveto = *i; + int rm = ralign[moveto]; + ok = (start != rm && + (rm - start) < MAX_SHIFT_DIST && + (start - rm - 1) < MAX_SHIFT_DIST); + if (ok) break; + } + if (!ok) continue; + cp.clear(); + for (int end = start + min_size - 1; + ok && end < hyp.size() && end < (start + MAX_SHIFT_SIZE); ++end) { + cp.push_back(hyp[end]); + vector& sshifts = (*shifts)[end - start]; + ok = false; + NgramToIntsMap::iterator niter = nmap_.find(cp); + if (niter == nmap_.end()) break; + bool any_herr = false; + for (int i = start; i <= end && !any_herr; ++i) + any_herr = herr[i]; + if (!any_herr) { + ok = true; + continue; + } + for (set::iterator mi = niter->second.begin(); + mi != niter->second.end(); ++mi) { + int moveto = *mi; + int rm = ralign[moveto]; + if (! ((rm != start) && + ((rm < start) || (rm > end)) && + (rm - start <= MAX_SHIFT_DIST) && + ((start - rm - 1) <= MAX_SHIFT_DIST))) continue; + ok = true; + bool any_rerr = false; + for (int i = 0; (i <= end - start) && (!any_rerr); ++i) + any_rerr = rerr[moveto+i]; + if (!any_rerr) continue; + for (int roff = 0; roff <= (end - start); ++roff) { + int rmr = ralign[moveto+roff]; + if ((start != rmr) && ((roff == 0) || (rmr != ralign[moveto]))) + sshifts.push_back(Shift(start, end, moveto + roff)); + } + } + } + } + } + + bool CalculateBestShift(const vector& cur, + const vector& hyp, + float curerr, + const vector& path, + vector* new_hyp, + float* newerr, + vector* new_path) const { + vector herr, rerr; + vector ralign; + int hpos = -1; + for (int i = 0; i < path.size(); ++i) { + switch (path[i]) { + case MATCH: + ++hpos; + herr.push_back(false); + rerr.push_back(false); + ralign.push_back(hpos); + break; + case SUBSTITUTION: + ++hpos; + herr.push_back(true); + rerr.push_back(true); + ralign.push_back(hpos); + break; + case INSERTION: + ++hpos; + herr.push_back(true); + break; + case DELETION: + rerr.push_back(true); + ralign.push_back(hpos); + break; + } + } +#if 0 + cerr << "RALIGN: "; + for (int i = 0; i < rerr.size(); ++i) + cerr << ralign[i] << " "; + cerr << endl; + cerr << "RERR: "; + for (int i = 0; i < rerr.size(); ++i) + cerr << (bool)rerr[i] << " "; + cerr << endl; + cerr << "HERR: "; + for (int i = 0; i < herr.size(); ++i) + cerr << (bool)herr[i] << " "; + cerr << endl; +#endif + + vector > shifts(MAX_SHIFT_SIZE + 1); + GetAllPossibleShifts(cur, ralign, herr, rerr, 1, &shifts); + float cur_best_shift_cost = 0; + *newerr = curerr; + vector cur_best_path; + vector cur_best_hyp; + + bool res = false; + for (int i = shifts.size() - 1; i >=0; --i) { + float curfix = curerr - (cur_best_shift_cost + *newerr); + float maxfix = 2.0f * (1 + i) - COSTS::shift; + if ((curfix > maxfix) || ((cur_best_shift_cost == 0) && (curfix == maxfix))) break; + for (int j = 0; j < shifts[i].size(); ++j) { + const Shift& s = shifts[i][j]; + curfix = curerr - (cur_best_shift_cost + *newerr); + maxfix = 2.0f * (1 + i) - COSTS::shift; // TODO remove? + if ((curfix > maxfix) || ((cur_best_shift_cost == 0) && (curfix == maxfix))) continue; + vector shifted(cur.size()); + PerformShift(cur, s.begin(), s.end(), ralign[s.moveto()], &shifted); + vector try_path; + float try_cost = MinimumEditDistance(shifted, ref_, &try_path); + float gain = (*newerr + cur_best_shift_cost) - (try_cost + COSTS::shift); + if (gain > 0.0f || ((cur_best_shift_cost == 0.0f) && (gain == 0.0f))) { + *newerr = try_cost; + cur_best_shift_cost = COSTS::shift; + new_path->swap(try_path); + new_hyp->swap(shifted); + res = true; + // cerr << "Found better shift " << s.begin() << "..." << s.end() << " moveto " << s.moveto() << endl; + } + } + } + + return res; + } + + static void GetPathStats(const vector& path, int* subs, int* ins, int* dels) { + *subs = *ins = *dels = 0; + for (int i = 0; i < path.size(); ++i) { + switch (path[i]) { + case SUBSTITUTION: + ++(*subs); + case MATCH: + break; + case INSERTION: + ++(*ins); break; + case DELETION: + ++(*dels); break; + } + } + } + + float CalculateAllShifts(const vector& hyp, + int* subs, int* ins, int* dels, int* shifts) const { + BuildWordMatches(hyp, &nmap_); + vector path; + float med_cost = MinimumEditDistance(hyp, ref_, &path); + float edits = 0; + vector cur = hyp; + *shifts = 0; + if (ter_short_circuit_long_sentences < 0 || + ref_.size() < ter_short_circuit_long_sentences) { + while (true) { + vector new_hyp; + vector new_path; + float new_med_cost; + if (!CalculateBestShift(cur, hyp, med_cost, path, &new_hyp, &new_med_cost, &new_path)) + break; + edits += COSTS::shift; + ++(*shifts); + med_cost = new_med_cost; + path.swap(new_path); + cur.swap(new_hyp); + } + } + GetPathStats(path, subs, ins, dels); + return med_cost + edits; + } +}; + +class TERScore : public Score { + friend class TERScorer; + + public: + static const unsigned kINSERTIONS = 0; + static const unsigned kDELETIONS = 1; + static const unsigned kSUBSTITUTIONS = 2; + static const unsigned kSHIFTS = 3; + static const unsigned kREF_WORDCOUNT = 4; + static const unsigned kDUMMY_LAST_ENTRY = 5; + + TERScore() : stats(0,kDUMMY_LAST_ENTRY) {} + float ComputeScore() const { + float edits = static_cast(stats[kINSERTIONS] + stats[kDELETIONS] + stats[kSUBSTITUTIONS] + stats[kSHIFTS]); + return edits / static_cast(stats[kREF_WORDCOUNT]); + } + void ScoreDetails(string* details) const; + void PlusEquals(const Score& delta) { + stats += static_cast(delta).stats; + } + Score* GetZero() const { + return new TERScore; + } + void Subtract(const Score& rhs, Score* res) const { + static_cast(res)->stats = stats - static_cast(rhs).stats; + } + void Encode(std::string* out) const { + ostringstream os; + os << stats[kINSERTIONS] << ' ' + << stats[kDELETIONS] << ' ' + << stats[kSUBSTITUTIONS] << ' ' + << stats[kSHIFTS] << ' ' + << stats[kREF_WORDCOUNT]; + *out = os.str(); + } + bool IsAdditiveIdentity() const { + for (int i = 0; i < kDUMMY_LAST_ENTRY; ++i) + if (stats[i] != 0) return false; + return true; + } + private: + valarray stats; +}; + +Score* TERScorer::ScoreFromString(const std::string& data) { + istringstream is(data); + TERScore* r = new TERScore; + is >> r->stats[TERScore::kINSERTIONS] + >> r->stats[TERScore::kDELETIONS] + >> r->stats[TERScore::kSUBSTITUTIONS] + >> r->stats[TERScore::kSHIFTS] + >> r->stats[TERScore::kREF_WORDCOUNT]; + return r; +} + +void TERScore::ScoreDetails(std::string* details) const { + char buf[200]; + sprintf(buf, "TER = %.2f, %3d|%3d|%3d|%3d (len=%d)", + ComputeScore() * 100.0f, + stats[kINSERTIONS], + stats[kDELETIONS], + stats[kSUBSTITUTIONS], + stats[kSHIFTS], + stats[kREF_WORDCOUNT]); + *details = buf; +} + +TERScorer::~TERScorer() { + for (vector::iterator i = impl_.begin(); i != impl_.end(); ++i) + delete *i; +} + +TERScorer::TERScorer(const vector >& refs) : impl_(refs.size()) { + for (int i = 0; i < refs.size(); ++i) + impl_[i] = new TERScorerImpl(refs[i]); +} + +Score* TERScorer::ScoreCandidate(const std::vector& hyp) const { + float best_score = numeric_limits::max(); + TERScore* res = new TERScore; + int avg_len = 0; + for (int i = 0; i < impl_.size(); ++i) + avg_len += impl_[i]->GetRefLength(); + avg_len /= impl_.size(); + for (int i = 0; i < impl_.size(); ++i) { + int subs, ins, dels, shifts; + float score = impl_[i]->Calculate(hyp, &subs, &ins, &dels, &shifts); + // cerr << "Component TER cost: " << score << endl; + if (score < best_score) { + res->stats[TERScore::kINSERTIONS] = ins; + res->stats[TERScore::kDELETIONS] = dels; + res->stats[TERScore::kSUBSTITUTIONS] = subs; + res->stats[TERScore::kSHIFTS] = shifts; + if (ter_use_average_ref_len) { + res->stats[TERScore::kREF_WORDCOUNT] = avg_len; + } else { + res->stats[TERScore::kREF_WORDCOUNT] = impl_[i]->GetRefLength(); + } + + best_score = score; + } + } + return res; +} diff --git a/vest/ter.h b/vest/ter.h new file mode 100644 index 00000000..fe4ba36c --- /dev/null +++ b/vest/ter.h @@ -0,0 +1,18 @@ +#ifndef _TER_H_ +#define _TER_H_ + +#include "scorer.h" + +class TERScorerImpl; + +class TERScorer : public SentenceScorer { + public: + TERScorer(const std::vector >& references); + ~TERScorer(); + Score* ScoreCandidate(const std::vector& hyp) const; + static Score* ScoreFromString(const std::string& data); + private: + std::vector impl_; +}; + +#endif diff --git a/vest/test_aer/README b/vest/test_aer/README new file mode 100644 index 00000000..819b2e32 --- /dev/null +++ b/vest/test_aer/README @@ -0,0 +1,8 @@ +To run the test: + +../dist-vest.pl --local --metric aer cdec.ini --source-file corpus.src --ref-files=ref.0 --weights weights + +This will optimize the parameters of the tiny lexical translation model +so as to minimize the AER of the Viterbi alignment on the development +set in corpus.src according to the reference alignments in ref.0. + diff --git a/vest/test_aer/cdec.ini b/vest/test_aer/cdec.ini new file mode 100644 index 00000000..08187848 --- /dev/null +++ b/vest/test_aer/cdec.ini @@ -0,0 +1,3 @@ +formalism=lextrans +grammar=grammar +aligner=true diff --git a/vest/test_aer/corpus.src b/vest/test_aer/corpus.src new file mode 100644 index 00000000..31b23971 --- /dev/null +++ b/vest/test_aer/corpus.src @@ -0,0 +1,3 @@ +el gato negro ||| the black cat +el gato ||| the cat +el libro ||| the book diff --git a/vest/test_aer/grammar b/vest/test_aer/grammar new file mode 100644 index 00000000..9d857824 --- /dev/null +++ b/vest/test_aer/grammar @@ -0,0 +1,12 @@ +el ||| cat ||| F1=1 +el ||| the ||| F2=1 +el ||| black ||| F3=1 +el ||| book ||| F11=1 +gato ||| cat ||| F4=1 NN=1 +gato ||| black ||| F5=1 +gato ||| the ||| F6=1 +negro ||| the ||| F7=1 +negro ||| cat ||| F8=1 +negro ||| black ||| F9=1 +libro ||| the ||| F10=1 +libro ||| book ||| F12=1 NN=1 diff --git a/vest/test_aer/ref.0 b/vest/test_aer/ref.0 new file mode 100644 index 00000000..734a9c5b --- /dev/null +++ b/vest/test_aer/ref.0 @@ -0,0 +1,3 @@ +0-0 1-2 2-1 +0-0 1-1 +0-0 1-1 diff --git a/vest/test_aer/weights b/vest/test_aer/weights new file mode 100644 index 00000000..afc9282e --- /dev/null +++ b/vest/test_aer/weights @@ -0,0 +1,13 @@ +F1 0.1 +F2 -.5980815 +F3 0.24235 +F4 0.625 +F5 0.4514 +F6 0.112316 +F7 -0.123415 +F8 -0.25390285 +F9 -0.23852 +F10 0.646 +F11 0.413141 +F12 0.343216 +NN -0.1215 diff --git a/vest/test_data/0.json.gz b/vest/test_data/0.json.gz new file mode 100644 index 00000000..30f8dd77 Binary files /dev/null and b/vest/test_data/0.json.gz differ diff --git a/vest/test_data/1.json.gz b/vest/test_data/1.json.gz new file mode 100644 index 00000000..c82cc179 Binary files /dev/null and b/vest/test_data/1.json.gz differ diff --git a/vest/test_data/c2e.txt.0 b/vest/test_data/c2e.txt.0 new file mode 100644 index 00000000..12c4abe9 --- /dev/null +++ b/vest/test_data/c2e.txt.0 @@ -0,0 +1,2 @@ +australia reopens embassy in manila +( afp , manila , january 2 ) australia reopened its embassy in the philippines today , which was shut down about seven weeks ago due to what was described as a specific threat of a terrorist attack . diff --git a/vest/test_data/c2e.txt.1 b/vest/test_data/c2e.txt.1 new file mode 100644 index 00000000..4ac12df1 --- /dev/null +++ b/vest/test_data/c2e.txt.1 @@ -0,0 +1,2 @@ +australia reopened manila embassy +( agence france-presse , manila , 2nd ) - australia reopened its embassy in the philippines today . the embassy was closed seven weeks ago after what was described as a specific threat of a terrorist attack . diff --git a/vest/test_data/c2e.txt.2 b/vest/test_data/c2e.txt.2 new file mode 100644 index 00000000..2f67b72f --- /dev/null +++ b/vest/test_data/c2e.txt.2 @@ -0,0 +1,2 @@ +australia to reopen embassy in manila +( afp report from manila , january 2 ) australia reopened its embassy in the philippines today . seven weeks ago , the embassy was shut down due to so-called confirmed terrorist attack threats . diff --git a/vest/test_data/c2e.txt.3 b/vest/test_data/c2e.txt.3 new file mode 100644 index 00000000..5483cef6 --- /dev/null +++ b/vest/test_data/c2e.txt.3 @@ -0,0 +1,2 @@ +australia to re - open its embassy to manila +( afp , manila , thursday ) australia reopens its embassy to manila , which was closed for the so-called " clear " threat of terrorist attack 7 weeks ago . diff --git a/vest/test_data/re.txt.0 b/vest/test_data/re.txt.0 new file mode 100644 index 00000000..86eff087 --- /dev/null +++ b/vest/test_data/re.txt.0 @@ -0,0 +1,5 @@ +erdogan states turkey to reject any pressures to urge it to recognize cyprus +ankara 12 - 1 ( afp ) - turkish prime minister recep tayyip erdogan announced today , wednesday , that ankara will reject any pressure by the european union to urge it to recognize cyprus . this comes two weeks before the summit of european union state and government heads who will decide whether or nor membership negotiations with ankara should be opened . +erdogan told " ntv " television station that " the european union cannot address us by imposing new conditions on us with regard to cyprus . +we will discuss this dossier in the course of membership negotiations . " +he added " let me be clear , i cannot sidestep turkey , this is something we cannot accept . " diff --git a/vest/test_data/re.txt.1 b/vest/test_data/re.txt.1 new file mode 100644 index 00000000..2140f198 --- /dev/null +++ b/vest/test_data/re.txt.1 @@ -0,0 +1,5 @@ +erdogan confirms turkey will resist any pressure to recognize cyprus +ankara 12 - 1 ( afp ) - the turkish head of government , recep tayyip erdogan , announced today ( wednesday ) that ankara would resist any pressure the european union might exercise in order to force it into recognizing cyprus . this comes two weeks before a summit of european union heads of state and government , who will decide whether or not to open membership negotiations with ankara . +erdogan said to the ntv television channel : " the european union cannot engage with us through imposing new conditions on us with regard to cyprus . +we shall discuss this issue in the course of the membership negotiations . " +he added : " let me be clear - i cannot confine turkey . this is something we do not accept . " diff --git a/vest/test_data/re.txt.2 b/vest/test_data/re.txt.2 new file mode 100644 index 00000000..94e46286 --- /dev/null +++ b/vest/test_data/re.txt.2 @@ -0,0 +1,5 @@ +erdogan confirms that turkey will reject any pressures to encourage it to recognize cyprus +ankara , 12 / 1 ( afp ) - the turkish prime minister recep tayyip erdogan declared today , wednesday , that ankara will reject any pressures that the european union may apply on it to encourage to recognize cyprus . this comes two weeks before a summit of the heads of countries and governments of the european union , who will decide on whether or not to start negotiations on joining with ankara . +erdogan told the ntv television station that " it is not possible for the european union to talk to us by imposing new conditions on us regarding cyprus . +we shall discuss this dossier during the negotiations on joining . " +and he added , " let me be clear . turkey's arm should not be twisted ; this is something we cannot accept . " diff --git a/vest/test_data/re.txt.3 b/vest/test_data/re.txt.3 new file mode 100644 index 00000000..f87c3308 --- /dev/null +++ b/vest/test_data/re.txt.3 @@ -0,0 +1,5 @@ +erdogan stresses that turkey will reject all pressures to force it to recognize cyprus +ankara 12 - 1 ( afp ) - turkish prime minister recep tayyip erdogan announced today , wednesday , that ankara would refuse all pressures applied on it by the european union to force it to recognize cyprus . that came two weeks before the summit of the presidents and prime ministers of the european union , who would decide on whether to open negotiations on joining with ankara or not . +erdogan said to " ntv " tv station that the " european union can not communicate with us by imposing on us new conditions related to cyprus . +we will discuss this file during the negotiations on joining . " +he added , " let me be clear . turkey's arm should not be twisted . this is unacceptable to us . " diff --git a/vest/viterbi_envelope.cc b/vest/viterbi_envelope.cc new file mode 100644 index 00000000..5c24c018 --- /dev/null +++ b/vest/viterbi_envelope.cc @@ -0,0 +1,176 @@ +#include "viterbi_envelope.h" + +#include +#include + +using namespace std; +using boost::shared_ptr; + +ostream& operator<<(ostream& os, const ViterbiEnvelope& env) { + os << '<'; + const vector >& segs = env.GetSortedSegs(); + for (int i = 0; i < segs.size(); ++i) + os << (i==0 ? "" : "|") << "x=" << segs[i]->x << ",b=" << segs[i]->b << ",m=" << segs[i]->m << ",p1=" << segs[i]->p1 << ",p2=" << segs[i]->p2; + return os << '>'; +} + +ViterbiEnvelope::ViterbiEnvelope(int i) { + if (i == 0) { + // do nothing - <> + } else if (i == 1) { + segs.push_back(shared_ptr(new Segment(0, 0, 0, shared_ptr(), shared_ptr()))); + assert(this->IsMultiplicativeIdentity()); + } else { + cerr << "Only can create ViterbiEnvelope semiring 0 and 1 with this constructor!\n"; + abort(); + } +} + +struct SlopeCompare { + bool operator() (const shared_ptr& a, const shared_ptr& b) const { + return a->m < b->m; + } +}; + +const ViterbiEnvelope& ViterbiEnvelope::operator+=(const ViterbiEnvelope& other) { + if (!other.is_sorted) other.Sort(); + if (segs.empty()) { + segs = other.segs; + return *this; + } + is_sorted = false; + int j = segs.size(); + segs.resize(segs.size() + other.segs.size()); + for (int i = 0; i < other.segs.size(); ++i) + segs[j++] = other.segs[i]; + assert(j == segs.size()); + return *this; +} + +void ViterbiEnvelope::Sort() const { + sort(segs.begin(), segs.end(), SlopeCompare()); + const int k = segs.size(); + int j = 0; + for (int i = 0; i < k; ++i) { + Segment l = *segs[i]; + l.x = kMinusInfinity; + // cerr << "m=" << l.m << endl; + if (0 < j) { + if (segs[j-1]->m == l.m) { // lines are parallel + if (l.b <= segs[j-1]->b) continue; + --j; + } + while(0 < j) { + l.x = (l.b - segs[j-1]->b) / (segs[j-1]->m - l.m); + if (segs[j-1]->x < l.x) break; + --j; + } + if (0 == j) l.x = kMinusInfinity; + } + *segs[j++] = l; + } + segs.resize(j); + is_sorted = true; +} + +const ViterbiEnvelope& ViterbiEnvelope::operator*=(const ViterbiEnvelope& other) { + if (other.IsMultiplicativeIdentity()) { return *this; } + if (this->IsMultiplicativeIdentity()) { (*this) = other; return *this; } + + if (!is_sorted) Sort(); + if (!other.is_sorted) other.Sort(); + + if (this->IsEdgeEnvelope()) { +// if (other.size() > 1) +// cerr << *this << " (TIMES) " << other << endl; + shared_ptr edge_parent = segs[0]; + const double& edge_b = edge_parent->b; + const double& edge_m = edge_parent->m; + segs.clear(); + for (int i = 0; i < other.segs.size(); ++i) { + const Segment& seg = *other.segs[i]; + const double m = seg.m + edge_m; + const double b = seg.b + edge_b; + const double& x = seg.x; // x's don't change with * + segs.push_back(shared_ptr(new Segment(x, m, b, edge_parent, other.segs[i]))); + assert(segs.back()->p1->edge); + } +// if (other.size() > 1) +// cerr << " = " << *this << endl; + } else { + vector > new_segs; + int this_i = 0; + int other_i = 0; + const int this_size = segs.size(); + const int other_size = other.segs.size(); + double cur_x = kMinusInfinity; // moves from left to right across the + // real numbers, stopping for all inter- + // sections + double this_next_val = (1 < this_size ? segs[1]->x : kPlusInfinity); + double other_next_val = (1 < other_size ? other.segs[1]->x : kPlusInfinity); + while (this_i < this_size && other_i < other_size) { + const Segment& this_seg = *segs[this_i]; + const Segment& other_seg= *other.segs[other_i]; + const double m = this_seg.m + other_seg.m; + const double b = this_seg.b + other_seg.b; + + new_segs.push_back(shared_ptr(new Segment(cur_x, m, b, segs[this_i], other.segs[other_i]))); + int comp = 0; + if (this_next_val < other_next_val) comp = -1; else + if (this_next_val > other_next_val) comp = 1; + if (0 == comp) { // the next values are equal, advance both indices + ++this_i; + ++other_i; + cur_x = this_next_val; // could be other_next_val (they're equal!) + this_next_val = (this_i+1 < this_size ? segs[this_i+1]->x : kPlusInfinity); + other_next_val = (other_i+1 < other_size ? other.segs[other_i+1]->x : kPlusInfinity); + } else { // advance the i with the lower x, update cur_x + if (-1 == comp) { + ++this_i; + cur_x = this_next_val; + this_next_val = (this_i+1 < this_size ? segs[this_i+1]->x : kPlusInfinity); + } else { + ++other_i; + cur_x = other_next_val; + other_next_val = (other_i+1 < other_size ? other.segs[other_i+1]->x : kPlusInfinity); + } + } + } + segs.swap(new_segs); + } + //cerr << "Multiply: result=" << (*this) << endl; + return *this; +} + +// recursively construct translation +void Segment::ConstructTranslation(vector* trans) const { + const Segment* cur = this; + vector > ant_trans; + while(!cur->edge) { + ant_trans.resize(ant_trans.size() + 1); + cur->p2->ConstructTranslation(&ant_trans.back()); + cur = cur->p1.get(); + } + size_t ant_size = ant_trans.size(); + vector*> pants(ant_size); + --ant_size; + for (int i = 0; i < pants.size(); ++i) pants[ant_size - i] = &ant_trans[i]; + cur->edge->rule_->ESubstitute(pants, trans); +} + +void Segment::CollectEdgesUsed(std::vector* edges_used) const { + if (edge) { + assert(edge->id_ < edges_used->size()); + (*edges_used)[edge->id_] = true; + } + if (p1) p1->CollectEdgesUsed(edges_used); + if (p2) p2->CollectEdgesUsed(edges_used); +} + +ViterbiEnvelope ViterbiEnvelopeWeightFunction::operator()(const Hypergraph::Edge& e) const { + const double m = direction.dot(e.feature_values_); + const double b = origin.dot(e.feature_values_); + Segment* seg = new Segment(m, b, e); + return ViterbiEnvelope(1, seg); +} + diff --git a/vest/viterbi_envelope.h b/vest/viterbi_envelope.h new file mode 100644 index 00000000..1689a00e --- /dev/null +++ b/vest/viterbi_envelope.h @@ -0,0 +1,81 @@ +#ifndef _VITERBI_ENVELOPE_H_ +#define _VITERBI_ENVELOPE_H_ + +#include +#include +#include + +#include "hg.h" +#include "sparse_vector.h" + +static const double kMinusInfinity = -std::numeric_limits::infinity(); +static const double kPlusInfinity = std::numeric_limits::infinity(); + +struct Segment { + Segment() : x(), m(), b(), edge() {} + Segment(double _m, double _b) : + x(kMinusInfinity), m(_m), b(_b), edge() {} + Segment(double _x, double _m, double _b, const boost::shared_ptr& p1_, const boost::shared_ptr& p2_) : + x(_x), m(_m), b(_b), p1(p1_), p2(p2_), edge() {} + Segment(double _m, double _b, const Hypergraph::Edge& edge) : + x(kMinusInfinity), m(_m), b(_b), edge(&edge) {} + + double x; // x intersection with previous segment in env, or -inf if none + double m; // this line's slope + double b; // intercept with y-axis + + // we keep a pointer to the "parents" of this segment so we can reconstruct + // the Viterbi translation corresponding to this segment + boost::shared_ptr p1; + boost::shared_ptr p2; + + // only Segments created from an edge using the ViterbiEnvelopeWeightFunction + // have rules + // TRulePtr rule; + const Hypergraph::Edge* edge; + + // recursively recover the Viterbi translation that will result from setting + // the weights to origin + axis * x, where x is any value from this->x up + // until the next largest x in the containing ViterbiEnvelope + void ConstructTranslation(std::vector* trans) const; + void CollectEdgesUsed(std::vector* edges_used) const; +}; + +// this is the semiring value type, +// it defines constructors for 0, 1, and the operations + and * +struct ViterbiEnvelope { + // create semiring zero + ViterbiEnvelope() : is_sorted(true) {} // zero + // for debugging: + ViterbiEnvelope(const std::vector >& s) : segs(s) { Sort(); } + // create semiring 1 or 0 + explicit ViterbiEnvelope(int i); + ViterbiEnvelope(int n, Segment* seg) : is_sorted(true), segs(n, boost::shared_ptr(seg)) {} + const ViterbiEnvelope& operator+=(const ViterbiEnvelope& other); + const ViterbiEnvelope& operator*=(const ViterbiEnvelope& other); + bool IsMultiplicativeIdentity() const { + return size() == 1 && (segs[0]->b == 0.0 && segs[0]->m == 0.0) && (!segs[0]->edge); } + const std::vector >& GetSortedSegs() const { + if (!is_sorted) Sort(); + return segs; + } + size_t size() const { return segs.size(); } + + private: + bool IsEdgeEnvelope() const { + return segs.size() == 1 && segs[0]->edge; } + void Sort() const; + mutable bool is_sorted; + mutable std::vector > segs; +}; +std::ostream& operator<<(std::ostream& os, const ViterbiEnvelope& env); + +struct ViterbiEnvelopeWeightFunction { + ViterbiEnvelopeWeightFunction(const SparseVector& ori, + const SparseVector& dir) : origin(ori), direction(dir) {} + ViterbiEnvelope operator()(const Hypergraph::Edge& e) const; + const SparseVector origin; + const SparseVector direction; +}; + +#endif diff --git a/word-aligner/aligner.pl b/word-aligner/aligner.pl new file mode 100755 index 00000000..7eec0e42 --- /dev/null +++ b/word-aligner/aligner.pl @@ -0,0 +1,157 @@ +#!/usr/bin/perl -w +use strict; + +my $SCRIPT_DIR; BEGIN { use Cwd qw/ abs_path getcwd /; use File::Basename; $SCRIPT_DIR = dirname(abs_path($0)); push @INC, $SCRIPT_DIR; } +use Getopt::Long; +my $training_dir = "$SCRIPT_DIR/../training"; +die "Can't find training dir: $training_dir" unless -d $training_dir; + +my $mkcls = '/Users/redpony/software/giza/giza-pp/mkcls-v2/mkcls'; +my $num_classes = 50; +my $nodes = 40; +my $pmem = "2500mb"; +my $DECODER = "cdec"; +GetOptions("cdec=s" => \$DECODER, + "jobs=i" => \$nodes, + "pmem=s" => \$pmem, + "mkcls=s" => \$mkcls, + ) or usage(); +usage() unless (scalar @ARGV == 1); +die "Cannot find mkcls (specify with --mkcls=/path/to/mkcls) at $mkcls\n" unless -f $mkcls; +die "Cannot execute mkcls at $mkcls\n" unless -x $mkcls; + +my $in_file = shift @ARGV; +die "Expected format corpus.l1-l2 where l1 & l2 are two-letter abbreviations\nfor the source and target language respectively\n" unless ($in_file =~ /^.+\.([a-z][a-z])-([a-z][a-z])$/); +my $f_lang = $1; +my $e_lang = $2; + +print STDERR "Source language: $f_lang\n"; +print STDERR "Target language: $e_lang\n"; +print STDERR " Using mkcls in: $mkcls\n\n"; +die "Don't have an orthographic normalizer for $f_lang\n" unless -f "$SCRIPT_DIR/ortho-norm/$f_lang.pl"; +die "Don't have an orthographic normalizer for $e_lang\n" unless -f "$SCRIPT_DIR/ortho-norm/$e_lang.pl"; + +my @stages = qw(nopos relpos markov); +my @directions = qw(f-e e-f); + +my $corpus = 'c'; + +my $cwd = getcwd(); +my $align_dir = "$cwd/talign"; + +mkdir $align_dir; +mkdir "$align_dir/grammars"; +open IN, "<$in_file" or die "Can't read $in_file: $!"; +open E, ">$align_dir/grammars/corpus.e" or die "Can't write: $!"; +open F, ">$align_dir/grammars/corpus.f" or die "Can't write: $!"; +while() { + chomp; + my ($f, $e) = split / \|\|\| /; + die "Bad format, excepted ||| separated line" unless defined $f && defined $e; + print F "$f\n"; + print E "$e\n"; +} +close F; +close E; +close IN; +`cp $SCRIPT_DIR/makefiles/makefile.grammars $align_dir/grammars/Makefile`; +die unless $? == 0; + +my @targets = qw(grammars); + +for my $direction (@directions) { + my $prev_stage = undef; + for my $stage (@stages) { + push @targets, "$stage-$direction"; + make_stage($stage, $direction, $prev_stage); + $prev_stage = $stage; + } +} + +open TOPLEVEL, ">$align_dir/Makefile" or die "Can't write $align_dir/Makefile: $!"; + +print TOPLEVEL <$stage_dir/cdec.ini" or die; + print CDEC <$stage_dir/Makefile" or die; + print MAKE < e.voc + $(ORTHONORM_E) < e.voc > e.ortho-voc + $(MERGE_CORPUS) e.voc e.ortho-voc > $@ + +orthonorm-dict.f: corpus.f + $(EXTRACT_VOCAB) corpus.f > f.voc + $(ORTHONORM_F) < f.voc > f.ortho-voc + $(MERGE_CORPUS) f.voc f.ortho-voc > $@ + +voc2class.e: corpus.e $(MKCLS) + $(MKCLS) -c$(NCLASSES) -n10 -pcorpus.e -Vvoc2class.e opt + +voc2class.f: corpus.f $(MKCLS) + $(MKCLS) -c$(NCLASSES) -n10 -pcorpus.f -Vvoc2class.f opt + +corpus.class.e: corpus.e voc2class.e $(CLASSIFY) + $(CLASSIFY) voc2class.e corpus.e > $@ + +corpus.class.f: corpus.f voc2class.f $(CLASSIFY) + $(CLASSIFY) voc2class.f corpus.f > $@ + +corpus.f-e: corpus.f corpus.e $(MERGE_CORPUS) + $(MERGE_CORPUS) corpus.f corpus.e > $@ + +corpus.e-f: corpus.f corpus.e $(MERGE_CORPUS) + $(MERGE_CORPUS) corpus.e corpus.f > $@ + +corpus.f-e.model1: corpus.f-e $(MODEL1) + $(MODEL1) corpus.f-e > corpus.f-e.model1 + +corpus.e-f.model1: corpus.e-f $(MODEL1) + $(MODEL1) corpus.e-f > corpus.e-f.model1 + +bidir.grammars: corpus.f-e corpus.f-e.model1 corpus.e-f.model1 orthonorm-dict.f orthonorm-dict.e voc2class.e voc2class.f + $(RM) $@ + $(MAKE_LEX_GRAMMAR) corpus.f-e corpus.f-e.model1 corpus.e-f.model1 orthonorm-dict.f orthonorm-dict.e voc2class.e voc2class.f > bidir.grammars + +corpus.f-e.lex-grammar.gz: bidir.grammars + $(EXTRACT_GRAMMAR) 1 bidir.grammars | $(GZIP) -9 > corpus.f-e.lex-grammar.gz + +corpus.e-f.lex-grammar.gz: bidir.grammars + $(EXTRACT_GRAMMAR) 2 bidir.grammars | $(GZIP) -9 > corpus.e-f.lex-grammar.gz + +weights.init.gz: bidir.grammars voc2class.f voc2class.e + $(EXTRACT_WEIGHTS) bidir.grammars > weights.init + $(SUPPLEMENT_WEIGHTS) voc2class.f > weights.dup + $(SUPPLEMENT_WEIGHTS) voc2class.e >> weights.dup + sort -u weights.dup >> weights.init + $(GZIP) -9 weights.init + diff --git a/word-aligner/ortho-norm/README b/word-aligner/ortho-norm/README new file mode 100644 index 00000000..7071798a --- /dev/null +++ b/word-aligner/ortho-norm/README @@ -0,0 +1,2 @@ +The normalizations in this directory are supposed to create forms +that are roughly comparable by string comparison between languages. diff --git a/word-aligner/ortho-norm/ar.pl b/word-aligner/ortho-norm/ar.pl new file mode 100755 index 00000000..e8bd521a --- /dev/null +++ b/word-aligner/ortho-norm/ar.pl @@ -0,0 +1,32 @@ +#!/usr/bin/perl -w +use strict; +use utf8; + +binmode(STDIN, ":utf8"); +binmode(STDOUT, ":utf8"); + +while() { + chomp; + my $len = length($_); + if ($len > 1 && !($_ =~ /\d/)) { + s/\$/sh/g; + } + s/([a-z])\~/$1$1/g; + s/E/'/g; + s/^Aw/o/g; + s/\|/a/g; + s/@/h/g; + s/c/ch/g; + s/x/kh/g; + s/\*/dh/g; + s/w/o/g; + s/v/th/g; + if ($len > 1) { s/}/'/g; } + s/Z/dh/g; + s/y/i/g; + s/Y/a/g; + if ($len > 1) { s/p$//; } + $_ = lc $_; + print "$_\n"; +} + diff --git a/word-aligner/ortho-norm/en.pl b/word-aligner/ortho-norm/en.pl new file mode 100755 index 00000000..b167803e --- /dev/null +++ b/word-aligner/ortho-norm/en.pl @@ -0,0 +1,11 @@ +#!/usr/bin/perl -w +use strict; +use utf8; + +while() { + $_ = lc $_; + s/ al-/ al/g; + s/^al-/al/; + print; +} + diff --git a/word-aligner/ortho-norm/fr.pl b/word-aligner/ortho-norm/fr.pl new file mode 100755 index 00000000..5592ab05 --- /dev/null +++ b/word-aligner/ortho-norm/fr.pl @@ -0,0 +1,22 @@ +#!/usr/bin/perl -w +use strict; +use utf8; + +binmode(STDIN, ":utf8"); +binmode(STDOUT, ":utf8"); + +while() { + $_ = lc $_; + # see http://en.wikipedia.org/wiki/Use_of_the_circumflex_in_French + s/â/as/g; + s/ê/es/g; + s/î/is/g; + s/ô/os/g; + s/û/us/g; + + s/ç/c/g; + s/é|è/e/g; + s/á/a/g; + print; +} + diff --git a/word-aligner/ortho-norm/ur.pl b/word-aligner/ortho-norm/ur.pl new file mode 100755 index 00000000..34953dd3 --- /dev/null +++ b/word-aligner/ortho-norm/ur.pl @@ -0,0 +1,34 @@ +#!/usr/bin/perl -w +use strict; +use utf8; + +binmode(STDIN, ":utf8"); +binmode(STDOUT, ":utf8"); + +while() { + chomp; + my @out = (); + my @words = split /\s+/; + for my $of (@words) { + if (length($of) > 1 && !($of =~ /\d/)) { + $of =~ s/\$/sh/g; + } + $of =~ s/([a-z])\~/$1$1/g; + $of =~ s/E/'/g; + $of =~ s/^Aw/o/; + $of =~ s/\|/a/g; + $of =~ s/@/h/g; + $of =~ s/c/ch/g; + $of =~ s/x/kh/g; + $of =~ s/\*/dh/g; + $of =~ s/p$/a/; + $of =~ s/w/o/g; + $of =~ s/Z/dh/g; + $of =~ s/y/i/g; + $of =~ s/Y/a/g; + $of = lc $of; + push @out, $of; + } + print "@out\n"; +} + diff --git a/word-aligner/support/classify.pl b/word-aligner/support/classify.pl new file mode 100755 index 00000000..893c7b22 --- /dev/null +++ b/word-aligner/support/classify.pl @@ -0,0 +1,27 @@ +#!/usr/bin/perl -w +use strict; + +die "Usage: $0 classes.txt corpus.txt" unless scalar @ARGV == 2; + +my ($class, $text) = @ARGV; +open C, "<$class" or die "Can't read $class: $!"; +open T, "<$text" or die "Can't read $text: $!"; + +my %dict = (); +my $cc = 0; +while() { + chomp; + my ($word, $cat) = split /\s+/; + die "'$word' '$cat'" unless (defined $word && defined $cat); + $dict{$word} = $cat; + $cc++; +} +close C; +print STDERR "Loaded classes for $cc words\n"; + +while() { + chomp; + my @cats = map { $dict{$_} or die "Undefined class for $_"; } split /\s+/; + print "@cats\n"; +} + diff --git a/word-aligner/support/extract_grammar.pl b/word-aligner/support/extract_grammar.pl new file mode 100755 index 00000000..d7275ef5 --- /dev/null +++ b/word-aligner/support/extract_grammar.pl @@ -0,0 +1,11 @@ +#!/usr/bin/perl -w +use strict; + +my $key = shift @ARGV; +die "Usage: $0 KEY\n" unless defined $key; + +while(<>) { + my ($k, @rest) = split / \|\|\| /; + print join(' ||| ', @rest) if ($k eq $key); +} + diff --git a/word-aligner/support/extract_vocab.pl b/word-aligner/support/extract_vocab.pl new file mode 100755 index 00000000..070d4202 --- /dev/null +++ b/word-aligner/support/extract_vocab.pl @@ -0,0 +1,20 @@ +#!/usr/bin/perl -w +use strict; + +print STDERR "Extracting vocabulary...\n"; +my %dict = (); +my $wc = 0; +while(<>) { + chomp; + my @words = split /\s+/; + for my $word (@words) { $wc++; $dict{$word}++; } +} + +my $tc = 0; +for my $word (sort {$dict{$b} <=> $dict{$a}} keys %dict) { + print "$word\n"; + $tc++; +} + +print STDERR "$tc types / $wc tokens\n"; + diff --git a/word-aligner/support/extract_weights.pl b/word-aligner/support/extract_weights.pl new file mode 100755 index 00000000..dfedd12e --- /dev/null +++ b/word-aligner/support/extract_weights.pl @@ -0,0 +1,17 @@ +#!/usr/bin/perl -w +use strict; +my %dict=(); +while(<>) { + chomp; + my ($dummy, $a, $b, $wts) = split / \|\|\| /; + my @weights = split /\s+/, $wts; + for my $w (@weights) { + my ($name, $val) = split /=/, $w; + unless ($dict{$name}) { + my $r = (0.5 - rand) / 5; + $r = sprintf ("%0.4f", $r); + print "$name $r\n"; + $dict{$name}= 1; + } + } +} diff --git a/word-aligner/support/invert_grammar.pl b/word-aligner/support/invert_grammar.pl new file mode 100755 index 00000000..3988388d --- /dev/null +++ b/word-aligner/support/invert_grammar.pl @@ -0,0 +1,8 @@ +#!/usr/bin/perl -w +use strict; + +while(<>) { + my ($f, $e, $scores) = split / \|\|\| /; + print "$e ||| $f ||| $scores"; +} + diff --git a/word-aligner/support/make_lex_grammar.pl b/word-aligner/support/make_lex_grammar.pl new file mode 100755 index 00000000..c3e29540 --- /dev/null +++ b/word-aligner/support/make_lex_grammar.pl @@ -0,0 +1,435 @@ +#!/usr/bin/perl -w +use utf8; +use strict; + +my $LIMIT_SIZE=30; + +my ($effile, $model1, $imodel1, $orthof, $orthoe, $class_e, $class_f) = @ARGV; +die "Usage: $0 corpus.fr-en corpus.f-e.model1 corpus.e-f.model1 corpus.orthonorm-dict.f corpus.orthnorm-dict.e class.e class.f\n" unless $effile && -f $effile && $model1 && -f $model1 && $imodel1 && -f $imodel1 && $orthof && -f $orthof && $orthoe && -f $orthoe && -f $class_e && -f $class_f; + +my %eclass = (); +my %fclass = (); +load_classes($class_e, \%eclass); +load_classes($class_f, \%fclass); + +our @IDENT_BINS = qw (Ident0 Ident1 Ident2 Ident3 Ident4 Ident5 Ident6 Ident7 Ident8_9 Ident8_9 Ident10_11 Ident10_11 Ident12_14 Ident12_14 Ident12_14); +die unless scalar @IDENT_BINS == 15; +our $MAX_IDENT_BIN = 'IdentGT' . scalar @IDENT_BINS; + +our %cache; +open EF, "<$effile" or die; +open M1, "<$model1" or die; +open IM1, "<$imodel1" or die; +binmode(EF,":utf8"); +binmode(M1,":utf8"); +binmode(IM1,":utf8"); +binmode(STDOUT,":utf8"); +my %model1; +print STDERR "Reading model1...\n"; +my %sizes = (); +while() { + chomp; + my ($f, $e, $lp) = split /\s+/; + $model1{$f}->{$e} = 1; + $sizes{$f}++; +} +close M1; + +my $inv_add = 0; +my %invm1; +print STDERR "Reading inverse model1...\n"; +my %esizes=(); +while() { + chomp; + my ($e, $f, $lp) = split /\s+/; + $invm1{$e}->{$f} = 1; + $esizes{$e}++; + if (($sizes{$f} or 0) < $LIMIT_SIZE && !(defined $model1{$f}->{$e})) { + $model1{$f}->{$e} = 1; + $sizes{$f}++; + $inv_add++; + } +} +close IM1; +print STDERR "Added $inv_add from inverse model1\n"; + +open M1, "<$model1" or die; +binmode(M1,":utf8"); +my $dir_add = 0; +print STDERR "Reading model1 (again) for extra inverse translations...\n"; +while() { + chomp; + my ($f, $e, $lp) = split /\s+/; + if (($esizes{$e} or 0) < $LIMIT_SIZE && !(defined $invm1{$e}->{$f})) { + $invm1{$e}->{$f} = 1; + $esizes{$e}++; + $dir_add++; + } +} +close M1; +print STDERR "Added $dir_add from model 1\n"; +print STDERR "Generating grammars...\n"; +open OE, "<$orthoe" or die; +binmode(OE,":utf8"); +my %oe_dict; +while() { + chomp; + my ($a, $b) = split / \|\|\| /, $_; + die "BAD: $_" unless defined $a && defined $b; + $oe_dict{$a} = $b; +} +close OE; +open OF, "<$orthof" or die; +binmode(OF,":utf8"); +my %of_dict; +while() { + chomp; + my ($a, $b) = split / \|\|\| /, $_; + die "BAD: $_" unless defined $a && defined $b; + $of_dict{$a} = $b; +} +close OF; +$of_dict{''} = ''; +$oe_dict{''} = ''; + +my $MIN_FEATURE_COUNT = 0; +my $ADD_PREFIX_ID = 0; +my $ADD_CLASS_CLASS = 1; +my $ADD_LEN = 1; +my $ADD_SIM = 1; +my $ADD_DICE = 1; +my $ADD_111 = 1; +my $ADD_ID = 1; +my $ADD_PUNC = 1; +my $ADD_NULL = 0; +my $ADD_STEM_ID = 1; +my $ADD_SYM = 0; +my $BEAM_RATIO = 50; +my $BIN_ORTHO = 1; +my $BIN_DLEN = 1; +my $BIN_IDENT = 1; +my $BIN_DICE = 1; + +my %fdict; +my %fcounts; +my %ecounts; + +my %sdict; + +while() { + chomp; + my ($f, $e) = split /\s*\|\|\|\s*/; + my @es = split /\s+/, $e; + my @fs = split /\s+/, $f; + for my $ew (@es){ + die "E: Empty word" if $ew eq ''; + $ecounts{$ew}++; + } + push @fs, '' if $ADD_NULL; + for my $fw (@fs){ + die "F: Empty word" if $fw eq ''; + $fcounts{$fw}++; + } + for my $fw (@fs){ + for my $ew (@es){ + $fdict{$fw}->{$ew}++; + } + } +} + +my $specials = 0; +my $fc = 1000000; +my $sids = 1000000; +for my $f (sort keys %fdict) { + my $re = $fdict{$f}; + my $max; + for my $e (sort {$re->{$b} <=> $re->{$a}} keys %$re) { + my $efcount = $re->{$e}; + unless (defined $max) { $max = $efcount; } + my $m1 = $model1{$f}->{$e}; + my $im1 = $invm1{$e}->{$f}; + my $is_good_pair = (defined $m1); + my $is_inv_good_pair = (defined $im1); + my $dice = 2 * $efcount / ($ecounts{$e} + $fcounts{$f}); + my @feats; + if ($efcount > $MIN_FEATURE_COUNT) { + $fc++; + push @feats, "F$fc=1"; + } + if ($ADD_SYM && $is_good_pair && $is_inv_good_pair) { push @feats, 'Sym=1'; } + my $oe = $oe_dict{$e}; + die "Can't find orthonorm form for $e" unless defined $oe; + my $of = $of_dict{$f}; + die "Can't find orthonorm form for $f" unless defined $of; + my $len_e = length($oe); + my $len_f = length($of); + if ($ADD_DICE) { + if ($BIN_DICE) { + push @feats, dicebin($dice) . '=1'; + } else { + push @feats, "Dice=$dice"; + } + } + if ($ADD_CLASS_CLASS) { + my $ce = $eclass{$e} or die "E- no class for: '$e'"; + my $cf = $fclass{$f} or die "F- no class for: '$f'"; + push @feats, "C${cf}_${ce}=1"; + } + my $is_null = undef; + if ($ADD_NULL && $f eq '') { + push @feats, "IsNull=1"; + $is_null = 1; + } + if ($ADD_LEN) { + if (!$is_null) { + my $dlen = abs($len_e - $len_f); + if ($BIN_DLEN) { + push @feats, dlenbin($dlen) . '=1'; + } else { + push @feats, "DLen=$dlen"; + } + } + } + my $f_num = ($of =~ /^-?\d[0-9\.\,]+%?$/ && (length($of) > 3)); + my $e_num = ($oe =~ /^-?\d[0-9\.\,]+%?$/ && (length($oe) > 3)); + my $both_non_numeric = (!$e_num && !$f_num); + if ($ADD_STEM_ID) { + my $el = 4; + my $fl = 4; + if ($oe =~ /^al|re|co/) { $el++; } + if ($of =~ /^al|re|co/) { $fl++; } + if ($oe =~ /^trans|inter/) { $el+=2; } + if ($of =~ /^trans|inter/) { $fl+=2; } + if ($fl > length($of)) { $fl = length($of); } + if ($el > length($oe)) { $el = length($oe); } + my $sf = substr $of, 0, $fl; + my $se = substr $oe, 0, $el; + my $id = $sdict{$sf}->{$se}; + if (!$id) { + $sids++; + $sdict{$sf}->{$se} = $sids; + $id = $sids; + } + push @feats, "S$id=1"; + } + if ($ADD_PREFIX_ID) { + if ($len_e > 3 && $len_f > 3 && $both_non_numeric) { + my $pe = substr $oe, 0, 3; + my $pf = substr $of, 0, 3; + if ($pe eq $pf) { push @feats, "PfxIdentical=1"; } + } + } + if ($ADD_SIM) { + my $ld = 0; + my $eff = $len_e; + if ($eff < $len_f) { $eff = $len_f; } + if (!$is_null) { + $ld = ($eff - levenshtein($oe, $of)) / sqrt($eff); + } + if ($ld > 1.5) { $is_good_pair = 1; } + if ($BIN_ORTHO) { + push @feats, orthobin($ld) . '=1'; + } else { + push @feats, "OrthoSim=$ld"; + } + } + my $ident = ($e eq $f); + if ($ident) { $is_good_pair = 1; } + if ($ident && $ADD_ID) { + if ($BIN_IDENT) { + push @feats, identbin($len_e) . '=1'; + } else { + push @feats, "Identical=$len_e"; + } + } + if ($efcount == 1 && $ecounts{$e} == 1 && $fcounts{$f} == 1) { + $is_good_pair = 1; + if ($ADD_111) { + push @feats, "OneOneOne=1"; + } + } + if ($ADD_PUNC) { + if ($f =~ /^[!,\-\/"':;=+?.()\[\]«»]+$/ && $e =~ /[a-z]+/) { + push @feats, "PuncMiss=1"; + } + } + my $is_special = ($is_good_pair && !(defined $m1)); + $specials++ if $is_special; + print STDERR "$f -> $e\n" if $is_special; + print "1 ||| $f ||| $e ||| @feats\n" if $is_good_pair; + print "2 ||| $e ||| $f ||| @feats\n" if $is_inv_good_pair; + } +} +print STDERR "Added $specials special rules that were not in the M1 set\n"; + + +sub levenshtein +{ + # $s1 and $s2 are the two strings + # $len1 and $len2 are their respective lengths + # + my ($s1, $s2) = @_; + my ($len1, $len2) = (length $s1, length $s2); + + # If one of the strings is empty, the distance is the length + # of the other string + # + return $len2 if ($len1 == 0); + return $len1 if ($len2 == 0); + + my %mat; + + # Init the distance matrix + # + # The first row to 0..$len1 + # The first column to 0..$len2 + # The rest to 0 + # + # The first row and column are initialized so to denote distance + # from the empty string + # + for (my $i = 0; $i <= $len1; ++$i) + { + for (my $j = 0; $j <= $len2; ++$j) + { + $mat{$i}{$j} = 0; + $mat{0}{$j} = $j; + } + + $mat{$i}{0} = $i; + } + + # Some char-by-char processing is ahead, so prepare + # array of chars from the strings + # + my @ar1 = split(//, $s1); + my @ar2 = split(//, $s2); + + for (my $i = 1; $i <= $len1; ++$i) + { + for (my $j = 1; $j <= $len2; ++$j) + { + # Set the cost to 1 iff the ith char of $s1 + # equals the jth of $s2 + # + # Denotes a substitution cost. When the char are equal + # there is no need to substitute, so the cost is 0 + # + my $cost = ($ar1[$i-1] eq $ar2[$j-1]) ? 0 : 1; + + # Cell $mat{$i}{$j} equals the minimum of: + # + # - The cell immediately above plus 1 + # - The cell immediately to the left plus 1 + # - The cell diagonally above and to the left plus the cost + # + # We can either insert a new char, delete a char or + # substitute an existing char (with an associated cost) + # + $mat{$i}{$j} = min([$mat{$i-1}{$j} + 1, + $mat{$i}{$j-1} + 1, + $mat{$i-1}{$j-1} + $cost]); + } + } + + # Finally, the Levenshtein distance equals the rightmost bottom cell + # of the matrix + # + # Note that $mat{$x}{$y} denotes the distance between the substrings + # 1..$x and 1..$y + # + return $mat{$len1}{$len2}; +} + + +# minimal element of a list +# +sub min +{ + my @list = @{$_[0]}; + my $min = $list[0]; + + foreach my $i (@list) + { + $min = $i if ($i < $min); + } + + return $min; +} + +sub load_classes { + my ($file, $ref) = @_; + print STDERR "Reading classes from $file...\n"; + open F, "<$file" or die "Can't read $file: $!"; + binmode(F, ":utf8") or die; + while() { + chomp; + my ($word, $class) = split /\s+/; +# print STDERR "'$word' -> $class\n"; + $ref->{$word} = $class; + } + close F; +} + +sub dicebin { + my $x = shift; + if ($x < 0.05) { return 'DiceLT005'; } + elsif ($x >= 0.05 && $x < 0.1) { return 'Dice005_01'; } + elsif ($x >= 0.1 && $x < 0.2) { return 'Dice01_02'; } + elsif ($x >= 0.2 && $x < 0.3) { return 'Dice02_03'; } + elsif ($x >= 0.3 && $x < 0.4) { return 'Dice03_04'; } + elsif ($x >= 0.4 && $x < 0.5) { return 'Dice04_05'; } + elsif ($x >= 0.5 && $x < 0.6) { return 'Dice05_06'; } + elsif ($x >= 0.6 && $x < 0.7) { return 'Dice06_07'; } + elsif ($x >= 0.7 && $x < 0.8) { return 'Dice07_08'; } + elsif ($x >= 0.8 && $x < 0.9) { return 'Dice08_09'; } + elsif ($x >= 0.9 && $x < 1.0) { return 'Dice09_10'; } + elsif ($x >= 1.0 && $x < 1.1) { return 'Dice10_11'; } + elsif ($x >= 1.1 && $x < 1.2) { return 'Dice11_12'; } + elsif ($x >= 1.2 && $x < 1.4) { return 'Dice12_14'; } + elsif ($x >= 1.4 && $x < 1.6) { return 'Dice14_16'; } + elsif ($x >= 1.6 && $x < 1.8) { return 'Dice16_18'; } + elsif ($x >= 1.8 && $x < 2.0) { return 'Dice18_20'; } + elsif ($x >= 2.0 && $x < 2.3) { return 'Dice20_23'; } + elsif ($x >= 2.3) { return 'DiceGT23'; } +} + +sub orthobin { + my $x = shift; + if ($x < 0.9) { return 'OrthoLT09'; } + elsif ($x >= 0.9 && $x < 1.1) { return 'Ortho09_11'; } + elsif ($x >= 1.1 && $x < 1.3) { return 'Ortho11_13'; } + elsif ($x >= 1.3 && $x < 1.5) { return 'Ortho13_15'; } + elsif ($x >= 1.5 && $x < 1.7) { return 'Ortho15_17'; } + elsif ($x >= 1.7 && $x < 1.9) { return 'Ortho17_19'; } + elsif ($x >= 1.9 && $x < 2.1) { return 'Ortho19_21'; } + elsif ($x >= 2.1 && $x < 2.3) { return 'Ortho21_23'; } + elsif ($x >= 2.3 && $x < 2.5) { return 'Ortho23_25'; } + elsif ($x >= 2.5 && $x < 2.7) { return 'Ortho25_27'; } + elsif ($x >= 2.7 && $x < 2.9) { return 'Ortho27_29'; } + elsif ($x >= 2.9) { return 'OrthoGT29'; } +} + +sub dlenbin { + my $x = shift; + if ($x == 0) { return 'DLen0'; } + elsif ($x == 1) { return 'DLen1'; } + elsif ($x == 2) { return 'DLen2'; } + elsif ($x == 3) { return 'DLen3'; } + elsif ($x == 4) { return 'DLen4'; } + elsif ($x == 5) { return 'DLen5'; } + elsif ($x == 6) { return 'DLen6'; } + elsif ($x == 7) { return 'DLen7'; } + elsif ($x == 8) { return 'DLen8'; } + elsif ($x == 9) { return 'DLen9'; } + elsif ($x >= 10) { return 'DLenGT10'; } +} + +sub identbin { + my $x = shift; + if ($x == 0) { die; } + if ($x > scalar @IDENT_BINS) { return $MAX_IDENT_BIN; } + return $IDENT_BINS[$x]; +} + + diff --git a/word-aligner/support/merge_corpus.pl b/word-aligner/support/merge_corpus.pl new file mode 100755 index 00000000..02827903 --- /dev/null +++ b/word-aligner/support/merge_corpus.pl @@ -0,0 +1,18 @@ +#!/usr/bin/perl -w +use strict; +die "Usage: $0 corpus.e|f corpus.f|e" unless scalar @ARGV == 2; + +my ($a, $b) = @ARGV; +open A, "<$a" or die "Can't read $a: $!"; +open B, "<$b" or die "Can't read $a: $!"; + +while() { + chomp; + my $e = ; + die "Mismatched lines in $a and $b!" unless defined $e; + print "$_ ||| $e"; +} + +my $e = ; +die "Mismatched lines in $a and $b!" unless !defined $e; + diff --git a/word-aligner/support/supplement_weights_file.pl b/word-aligner/support/supplement_weights_file.pl new file mode 100755 index 00000000..06876043 --- /dev/null +++ b/word-aligner/support/supplement_weights_file.pl @@ -0,0 +1,73 @@ +#!/usr/bin/perl -w +use strict; + +my $ADD_FCLASS_JUMP = 1; +my $ADD_MODEL2_BINARY = 0; +my $ADD_FC_RELPOS = 1; + +my ($f_classes) = @ARGV; + +die "Usage: $0 f-classes.file" unless $f_classes && -f $f_classes; + +print <) { + chomp; + my ($x, $cat) = split /\s+/; + $dcats{$cat} = 1; +} + +my @cats = sort keys %dcats; + +my $added = 0; +for (my $i=0; $i < scalar @cats; $i++) { + my $c1 = $cats[$i]; + for (my $j=0; $j < scalar @cats; $j++) { + my $c2 = $cats[$j]; + print "SP:${c1}_${c2} 0\n"; + $added++; + } +} + +for (my $ss=1; $ss < 100; $ss++) { + if ($ADD_FCLASS_JUMP) { + for (my $i=0; $i < scalar @cats; $i++) { + my $cat = $cats[$i]; + for (my $j = -$ss; $j <= $ss; $j++) { + print "Jump_FL:${ss}_FC:${cat}_J:$j 0\n"; + $added++; + } + } + } + if ($ADD_MODEL2_BINARY) { + # M2_FL:8_SI:3_TI:2=1 + for (my $i = 0; $i < $ss; $i++) { + for (my $j = 0; $j < 100; $j++) { + print "M2FL:${ss}:TI:${j}_SI:${i} 0\n"; + $added++; + } + } + } +} +if ($ADD_FC_RELPOS) { + #RelPos_FC:11 + for (my $i=0; $i < scalar @cats; $i++) { + my $cat = $cats[$i]; + print "RelPos_FC:$cat 0\n"; + $added++; + } +} + +print STDERR "Added $added weights\n"; -- cgit v1.2.3