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authorredpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-10-22 23:29:11 +0000
committerredpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f>2010-10-22 23:29:11 +0000
commitdd886ca6da84970ccb96b2f0155ff672e03f5b58 (patch)
tree78b5627347f3953539852cdd6b92053e844e87d4
parent550019457302ecaaec6f72e912013a6fa9f2da67 (diff)
handle translation from the null word
git-svn-id: https://ws10smt.googlecode.com/svn/trunk@689 ec762483-ff6d-05da-a07a-a48fb63a330f
-rw-r--r--decoder/aligner.cc12
-rw-r--r--decoder/decoder.cc2
-rw-r--r--decoder/ff_wordalign.cc66
-rw-r--r--decoder/ff_wordalign.h6
-rwxr-xr-xword-aligner/aligner.pl47
-rwxr-xr-xword-aligner/support/make_lex_grammar.pl52
6 files changed, 99 insertions, 86 deletions
diff --git a/decoder/aligner.cc b/decoder/aligner.cc
index 92431be4..3f0c7347 100644
--- a/decoder/aligner.cc
+++ b/decoder/aligner.cc
@@ -24,8 +24,10 @@ void SourceEdgeCoveragesUsingParseIndices(const Hypergraph& g,
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)
+ if (edge.prev_i_ == -1 || edge.i_ == -1) {
+ cov.insert(-1);
continue;
+ }
assert(edge.j_ >= 0);
assert(edge.prev_j_ >= 0);
if (edge.Arity() == 0) {
@@ -211,7 +213,7 @@ void AlignerTools::WriteAlignment(const Lattice& src_lattice,
// figure out the src and reference size;
int src_size = src_sent.size();
int ref_size = trg_sent.size();
- Array2D<prob_t> align(src_size, ref_size, prob_t::Zero());
+ Array2D<prob_t> align(src_size + 1, ref_size, prob_t::Zero());
for (int c = 0; c < g->edges_.size(); ++c) {
const prob_t& p = edge_posteriors[c];
const set<int>& srcs = src_cov[c];
@@ -220,7 +222,7 @@ void AlignerTools::WriteAlignment(const Lattice& src_lattice,
si != srcs.end(); ++si) {
for (set<int>::const_iterator ti = trgs.begin();
ti != trgs.end(); ++ti) {
- align(*si, *ti) += p;
+ align(*si + 1, *ti) += p;
}
}
}
@@ -234,12 +236,12 @@ void AlignerTools::WriteAlignment(const Lattice& src_lattice,
for (int j = 0; j < ref_size; ++j) {
if (use_soft_threshold) {
threshold = prob_t::Zero();
- for (int i = 0; i < src_size; ++i)
+ 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;
+ grid(i, j) = align(i+1, j) >= threshold;
}
if (out == &cout) {
// TODO need to do some sort of verbose flag
diff --git a/decoder/decoder.cc b/decoder/decoder.cc
index b975a5fc..eb983419 100644
--- a/decoder/decoder.cc
+++ b/decoder/decoder.cc
@@ -364,7 +364,7 @@ DecoderImpl::DecoderImpl(po::variables_map& conf, int argc, char** argv, istream
("beam_prune", po::value<double>(), "Prune paths from +LM forest, keep paths within exp(alpha>=0)")
("scale_prune_srclen", "scale beams by the input length (in # of tokens; may not be what you want for lattices")
("promise_power",po::value<double>()->default_value(0), "Give more beam budget to more promising previous-pass nodes when pruning - but allocate the same average beams. 0 means off, 1 means beam proportional to inside*outside prob, n means nth power (affects just --cubepruning_pop_limit). note: for the same pop_limit, this gives more search error unless very close to 0 (recommend disabled; even 0.01 is slightly worse than 0) which is a bad sign and suggests this isn't doing a good job; further it's slightly slower to LM cube rescore with 0.01 compared to 0, as well as giving (very insignificantly) lower BLEU. TODO: test under more conditions, or try idea with different formula, or prob. cube beams.")
- ("lexalign_use_null", "Support source-side null words in lexical translation")
+ ("lextrans_use_null", "Support source-side null words in lexical translation")
("tagger_tagset,t", po::value<string>(), "(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")
diff --git a/decoder/ff_wordalign.cc b/decoder/ff_wordalign.cc
index f2f07033..5f42b438 100644
--- a/decoder/ff_wordalign.cc
+++ b/decoder/ff_wordalign.cc
@@ -16,6 +16,8 @@
static const int MAX_SENTENCE_SIZE = 100;
+static const int kNULL_i = 255; // -1 as an unsigned char
+
using namespace std;
Model2BinaryFeatures::Model2BinaryFeatures(const string& ) :
@@ -149,7 +151,11 @@ void MarkovJumpFClass::FireFeature(const SentenceMetadata& smeta,
int prev_src_pos,
int cur_src_pos,
SparseVector<double>* features) const {
+ if (prev_src_pos == kNULL_i || cur_src_pos == kNULL_i)
+ return;
+
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;
@@ -189,10 +195,13 @@ void MarkovJumpFClass::TraversalFeaturesImpl(const SentenceMetadata& smeta,
}
}
-// std::vector<std::map<int, int> > flen2jump2fid_;
MarkovJump::MarkovJump(const string& param) :
FeatureFunction(1),
fid_(FD::Convert("MarkovJump")),
+ fid_lex_null_(FD::Convert("JumpLexNull")),
+ fid_null_lex_(FD::Convert("JumpNullLex")),
+ fid_null_null_(FD::Convert("JumpNullNull")),
+ fid_lex_lex_(FD::Convert("JumpLexLex")),
binary_params_(false) {
cerr << " MarkovJump";
vector<string> argv;
@@ -218,7 +227,7 @@ MarkovJump::MarkovJump(const string& param) :
cerr << endl;
}
-// TODO handle NULLs according to Och 2000
+// TODO handle NULLs according to Och 2000?
void MarkovJump::TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const vector<const void*>& ant_states,
@@ -229,19 +238,20 @@ void MarkovJump::TraversalFeaturesImpl(const SentenceMetadata& smeta,
const int flen = smeta.GetSourceLength();
if (edge.Arity() == 0) {
dpstate = static_cast<unsigned int>(edge.i_);
- if (edge.prev_i_ == 0) {
- if (binary_params_) {
- // NULL will be tricky
- // TODO initial state distribution, not normal jumps
+ if (edge.prev_i_ == 0) { // first word in sentence
+ if (edge.i_ >= 0 && binary_params_) {
const int fid = flen2jump2fid_[flen].find(edge.i_ + 1)->second;
features->set_value(fid, 1.0);
+ } else if (edge.i_ < 0 && binary_params_) {
+ // handled by bigram features
}
} else if (edge.prev_i_ == smeta.GetTargetLength() - 1) {
- // NULL will be tricky
- if (binary_params_) {
+ if (edge.i_ >= 0 && binary_params_) {
int jumpsize = flen - edge.i_;
const int fid = flen2jump2fid_[flen].find(jumpsize)->second;
features->set_value(fid, 1.0);
+ } else if (edge.i_ < 0 && binary_params_) {
+ // handled by bigram features
}
}
} else if (edge.Arity() == 1) {
@@ -253,13 +263,24 @@ void MarkovJump::TraversalFeaturesImpl(const SentenceMetadata& smeta,
dpstate = static_cast<unsigned int>(left_index);
else
dpstate = static_cast<unsigned int>(right_index);
- const int jumpsize = right_index - left_index;
+ if (left_index == kNULL_i || right_index == kNULL_i) {
+ if (left_index == kNULL_i && right_index == kNULL_i)
+ features->set_value(fid_null_null_, 1.0);
+ else if (left_index == kNULL_i)
+ features->set_value(fid_null_lex_, 1.0);
+ else
+ features->set_value(fid_lex_null_, 1.0);
- 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
+ features->set_value(fid_lex_lex_, 1.0); // TODO should only use if NULL is enabled
+ 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");
@@ -294,15 +315,6 @@ void SourceBigram::FireFeature(WordID left,
if (fid == 0) fid = -1;
}
if (fid > 0) features->set_value(fid, 1.0);
- int& ufid = ufmap_[left];
- if (!ufid) {
- ostringstream os;
- os << "SU:";
- if (left < 0) { os << "BOS"; } else { os << TD::Convert(left); }
- ufid = FD::Convert(os.str());
- if (ufid == 0) fid = -1;
- }
- if (ufid > 0) features->set_value(ufid, 1.0);
}
void SourceBigram::TraversalFeaturesImpl(const SentenceMetadata& smeta,
@@ -386,8 +398,14 @@ void SourcePOSBigram::TraversalFeaturesImpl(const SentenceMetadata& smeta,
if (arity == 0) {
assert(smeta.GetSentenceID() < pos_.size());
const vector<WordID>& pos_sent = pos_[smeta.GetSentenceID()];
- assert(edge.i_ < pos_sent.size());
- out_context = pos_sent[edge.i_];
+ if (edge.i_ >= 0) { // non-NULL source
+ assert(edge.i_ < pos_sent.size());
+ out_context = pos_sent[edge.i_];
+ } else { // NULL source
+ // should assert that source is kNULL?
+ static const WordID kNULL = TD::Convert("<eps>");
+ out_context = kNULL;
+ }
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
diff --git a/decoder/ff_wordalign.h b/decoder/ff_wordalign.h
index 30ddf7a1..0714229c 100644
--- a/decoder/ff_wordalign.h
+++ b/decoder/ff_wordalign.h
@@ -49,6 +49,11 @@ class MarkovJump : public FeatureFunction {
void* out_context) const;
private:
const int fid_;
+ const int fid_lex_null_;
+ const int fid_null_lex_;
+ const int fid_null_null_;
+ const int fid_lex_lex_;
+
bool binary_params_;
std::vector<std::map<int, int> > flen2jump2fid_;
};
@@ -96,7 +101,6 @@ class SourceBigram : public FeatureFunction {
WordID trg,
SparseVector<double>* features) const;
mutable Class2Class2FID fmap_;
- mutable Class2FID ufmap_;
};
class SourcePOSBigram : public FeatureFunction {
diff --git a/word-aligner/aligner.pl b/word-aligner/aligner.pl
index 7821560f..e23c2beb 100755
--- a/word-aligner/aligner.pl
+++ b/word-aligner/aligner.pl
@@ -6,9 +6,10 @@ 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 $mkcls = '/Users/cdyer/software/giza-pp/mkcls-v2/mkcls';
my $num_classes = 50;
my $nodes = 40;
+my $TRAINING_ITERATIONS = 2000;
my $pmem = "2500mb";
my $DECODER = "cdec";
GetOptions("cdec=s" => \$DECODER,
@@ -16,15 +17,11 @@ GetOptions("cdec=s" => \$DECODER,
"pmem=s" => \$pmem,
"mkcls=s" => \$mkcls,
) or usage();
-usage() unless (scalar @ARGV == 3);
+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;
-my $m4 = shift @ARGV;
-my $im4 = shift @ARGV;
-die "Can't find model4: $m4" unless -f $m4;
-die "Can't find inverse model4: $im4" unless -f $im4;
die "Expected format corpus.l1-l2 where l1 & l2 are two-letter abbreviations\nfor the source and target language respectively\n" unless ($in_file =~ /^.+\.([a-z][a-z])-([a-z][a-z])$/);
my $f_lang = $1;
@@ -32,13 +29,11 @@ my $e_lang = $2;
print STDERR "Source language: $f_lang\n";
print STDERR "Target language: $e_lang\n";
-print STDERR " Model 4 align: $m4\n";
-print STDERR "InModel 4 align: $im4\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 @stages = qw(markov);
my @directions = qw(f-e e-f);
my $corpus = 'c';
@@ -67,12 +62,8 @@ 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 = $stage;
- }
+ push @targets, "model-$direction";
+ make_stage($direction);
}
open TOPLEVEL, ">$align_dir/Makefile" or die "Can't write $align_dir/Makefile: $!";
@@ -84,8 +75,6 @@ SCRIPT_DIR = $SCRIPT_DIR
TRAINING_DIR = $training_dir
MKCLS = $mkcls
NCLASSES = $num_classes
-GIZAALIGN = $m4
-INVGIZAALIGN = $im4
TARGETS = @targets
PTRAIN = \$(TRAINING_DIR)/cluster-ptrain.pl --restart_if_necessary
@@ -113,13 +102,12 @@ print STDERR "Created alignment task. chdir to talign/ then type make.\n\n";
exit 0;
sub make_stage {
- my ($stage, $direction, $prev_stage) = @_;
+ my ($direction) = @_;
my $stage_dir = "$align_dir/model-$direction";
my $first = $direction;
$first =~ s/^(.+)-.*$/$1/;
mkdir $stage_dir;
- my $RELPOS = "feature_function=RelativeSentencePosition $align_dir/grammars/corpus.class.$first\n";
- open CDEC, ">$stage_dir/cdec.$stage.ini" or die;
+ open CDEC, ">$stage_dir/cdec.ini" or die "Can't write $stage_dir/cdec.ini: $!";
print CDEC <<EOT;
formalism=lextrans
intersection_strategy=full
@@ -127,23 +115,22 @@ grammar=$align_dir/grammars/corpus.$direction.lex-grammar.gz
feature_function=LexicalPairIdentity
feature_function=InputIdentity
feature_function=OutputIdentity
+feature_function=RelativeSentencePosition $align_dir/grammars/corpus.class.$first
+feature_function=MarkovJump +b
+feature_function=MarkovJumpFClass $align_dir/grammars/corpus.class.$first
+feature_function=SourceBigram
+feature_function=SourcePOSBigram $align_dir/grammars/corpus.class.$first
EOT
- if ($stage =~ /relpos/) {
- print CDEC "$RELPOS\n";
- } elsif ($stage =~ /markov/) {
- print CDEC "$RELPOS\n";
- print CDEC "feature_function=MarkovJump\n";
- print CDEC "feature_function=MarkovJumpFClass $align_dir/grammars/corpus.class.$first\n";
- print CDEC "feature_function=SourceBigram\n";
- print CDEC "feature_function=SourcePOSBigram $align_dir/grammars/corpus.class.$first\n";
- }
close CDEC;
+ open AGENDA, ">$stage_dir/agenda.txt" or die "Can't write $stage_dir/agenda.txt: $!";
+ print AGENDA "cdec.ini $TRAINING_ITERATIONS\n";
+ close AGENDA;
}
sub usage {
die <<EOT;
-Usage: $0 [OPTIONS] training_corpus.fr-en giza.en-fr.A3 giza.fr-en.A3
+Usage: $0 [OPTIONS] training_corpus.fr-en
EOT
}
diff --git a/word-aligner/support/make_lex_grammar.pl b/word-aligner/support/make_lex_grammar.pl
index 3926fd8d..fb9d0214 100755
--- a/word-aligner/support/make_lex_grammar.pl
+++ b/word-aligner/support/make_lex_grammar.pl
@@ -5,7 +5,8 @@ use strict;
my $LIMIT_SIZE=30;
my ($effile, $model1, $imodel1, $orthof, $orthoe, $class_e, $class_f, $gizaf2e, $gizae2f) = @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 && -f $gizaf2e && -f $gizae2f;
+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 $class_f;
+
my %eclass = ();
my %fclass = ();
@@ -20,12 +21,12 @@ our %cache;
open EF, "<$effile" or die;
open M1, "<$model1" or die;
open IM1, "<$imodel1" or die;
-open M4, "<$gizaf2e" or die;
-open IM4, "<$gizae2f" or die;
+#open M4, "<$gizaf2e" or die;
+#open IM4, "<$gizae2f" or die;
+#binmode(M4,":utf8");
+#binmode(IM4,":utf8");
binmode(EF,":utf8");
binmode(M1,":utf8");
-binmode(M4,":utf8");
-binmode(IM4,":utf8");
binmode(IM1,":utf8");
binmode(STDOUT,":utf8");
my %model1;
@@ -105,7 +106,7 @@ my $ADD_DICE = 1;
my $ADD_111 = 1;
my $ADD_ID = 1;
my $ADD_PUNC = 1;
-my $ADD_NULL = 0;
+my $ADD_NULL = 1;
my $ADD_STEM_ID = 0;
my $ADD_SYM = 0;
my $BEAM_RATIO = 50;
@@ -115,6 +116,8 @@ my $BIN_IDENT = 1;
my $BIN_DICE = 1;
my $ADD_FIDENT = 0;
+if ($ADD_NULL) { $fclass{'<eps>'}='NUL'; $eclass{'<eps>'} ='NUL'; }
+
my %fdict;
my %fcounts;
my %ecounts;
@@ -146,24 +149,24 @@ while(<EF>) {
print STDERR "Loading Giza output...\n";
my %model4;
-while(<M4>) {
- my $en = <M4>; chomp $en;
- my $zh = <M4>; chomp $zh;
- die unless $zh =~ /^NULL \({/;
- my @ewords = split /\s+/, $en;
- my @chunks = split /\}\) ?/, $zh;
-
- for my $c (@chunks) {
- my ($zh, $taps) = split / \(\{ /, $c;
- if ($zh eq 'NULL') { $zh = '<eps>'; }
- my @aps = map { $ewords[$_ - 1]; } (split / /, $taps);
- #print "$zh -> @aps\n";
- for my $ap (@aps) {
- $model4{$zh}->{$ap} += 1;
- }
- }
-}
-close M4;
+#while(<M4>) {
+# my $en = <M4>; chomp $en;
+# my $zh = <M4>; chomp $zh;
+# die unless $zh =~ /^NULL \({/;
+# my @ewords = split /\s+/, $en;
+# my @chunks = split /\}\) ?/, $zh;
+#
+# for my $c (@chunks) {
+# my ($zh, $taps) = split / \(\{ /, $c;
+# if ($zh eq 'NULL') { $zh = '<eps>'; }
+# my @aps = map { $ewords[$_ - 1]; } (split / /, $taps);
+# #print "$zh -> @aps\n";
+# for my $ap (@aps) {
+# $model4{$zh}->{$ap} += 1;
+# }
+# }
+#}
+#close M4;
my $specials = 0;
my $fc = 1000000;
@@ -207,7 +210,6 @@ for my $f (sort keys %fdict) {
}
my $is_null = undef;
if ($ADD_NULL && $f eq '<eps>') {
- push @feats, "IsNull=1";
$is_null = 1;
}
if ($ADD_LEN) {