phrasinator v1

7 files changed, 439 insertions, 13 deletions

diff --git a/decoder/cdec.cc b/decoder/cdec.cc
index 5b930c69..b47ab380 100644
--- a/decoder/cdec.cc
+++ b/decoder/cdec.cc
@@ -3,6 +3,7 @@
 #include "filelib.h"
 #include "decoder.h"
 #include "ff_register.h"
+#include "verbose.h"
 
 using namespace std;
 
@@ -11,7 +12,7 @@ int main(int argc, char** argv) {
   Decoder decoder(argc, argv);
 
   const string input = decoder.GetConf()["input"].as<string>();
-  cerr << "Reading input from " << ((input == "-") ? "STDIN" : input.c_str()) << endl;
+  if (!SILENT) cerr << "Reading input from " << ((input == "-") ? "STDIN" : input.c_str()) << endl;
   ReadFile in_read(input);
   istream *in = in_read.stream();
   assert(*in);
diff --git a/decoder/decoder.cc b/decoder/decoder.cc
index 478a1cf3..3d818429 100644
--- a/decoder/decoder.cc
+++ b/decoder/decoder.cc
@@ -453,7 +453,9 @@ DecoderImpl::DecoderImpl(po::variables_map& conf, int argc, char** argv, istream
       cout << endl;
       exit(0);
     }
-    ShowBanner();
+    if (conf.count("quiet"))
+      SetSilent(true);
+    if (!SILENT) ShowBanner();
   }
   if (conf.count("show_config")) // special handling needed because we only want to notify() once.
     show_config=true;
@@ -467,6 +469,8 @@ DecoderImpl::DecoderImpl(po::variables_map& conf, int argc, char** argv, istream
       po::store(po::parse_config_file(*conff, dconfig_options), conf);
     }
   }
+  if (conf.count("quiet"))
+    SetSilent(true);
   if (cfg) po::store(po::parse_config_file(*cfg, dconfig_options), conf);
   po::notify(conf);
   if (show_config && !cfg_files.empty()) {
@@ -482,8 +486,6 @@ DecoderImpl::DecoderImpl(po::variables_map& conf, int argc, char** argv, istream
       cerr<<" "<<argv[i];
     cerr << "\n\n";
   }
-  if (conf.count("quiet"))
-    SetSilent(true);
 
   if (conf.count("list_feature_functions")) {
     cerr << "Available feature functions (specify with -F; describe with -u FeatureName):\n";
diff --git a/phrasinator/Makefile.am b/phrasinator/Makefile.am
index c9b2a513..0b15a250 100644
--- a/phrasinator/Makefile.am
+++ b/phrasinator/Makefile.am
@@ -1,6 +1,6 @@
-bin_PROGRAMS = train_plm
+bin_PROGRAMS = gibbs_train_plm
 
-train_plm_SOURCES = train_plm.cc
-train_plm_LDADD = $(top_srcdir)/utils/libutils.a -lz
+gibbs_train_plm_SOURCES = gibbs_train_plm.cc
+gibbs_train_plm_LDADD = $(top_srcdir)/utils/libutils.a -lz
 
-AM_CPPFLAGS = -W -Wall -Wno-sign-compare $(GTEST_CPPFLAGS) -I$(top_srcdir)/utils -I$(top_srcdir)/decoder -I$(top_srcdir)/mteval
+AM_CPPFLAGS = -funroll-loops -W -Wall -Wno-sign-compare $(GTEST_CPPFLAGS) -I$(top_srcdir)/utils -I$(top_srcdir)/decoder -I$(top_srcdir)/mteval
diff --git a/phrasinator/gibbs_train_plm.cc b/phrasinator/gibbs_train_plm.cc
new file mode 100644
index 00000000..29b3d7ea
--- /dev/null
+++ b/phrasinator/gibbs_train_plm.cc
@@ -0,0 +1,315 @@
+#include <iostream>
+#include <tr1/memory>
+
+#include <boost/program_options.hpp>
+#include <boost/program_options/variables_map.hpp>
+
+#include "filelib.h"
+#include "dict.h"
+#include "sampler.h"
+#include "ccrp.h"
+
+using namespace std;
+using namespace std::tr1;
+namespace po = boost::program_options;
+
+Dict d; // global dictionary
+
+string Join(char joiner, const vector<int>& phrase) {
+  ostringstream os;
+  for (int i = 0; i < phrase.size(); ++i) {
+    if (i > 0) os << joiner;
+    os << d.Convert(phrase[i]);
+  }
+  return os.str();
+}
+
+ostream& operator<<(ostream& os, const vector<int>& phrase) {
+  for (int i = 0; i < phrase.size(); ++i)
+    os << (i == 0 ? "" : " ") << d.Convert(phrase[i]);
+  return os;
+}
+
+struct UnigramLM {
+  explicit UnigramLM(const string& fname) {
+    ifstream in(fname.c_str());
+    assert(in);
+  }
+
+  double logprob(int word) const {
+    assert(word < freqs_.size());
+    return freqs_[word];
+  }
+
+  vector<double> freqs_;
+};
+
+void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
+  po::options_description opts("Configuration options");
+  opts.add_options()
+        ("samples,s",po::value<unsigned>()->default_value(1000),"Number of samples")
+        ("input,i",po::value<string>(),"Read file from")
+        ("random_seed,S",po::value<uint32_t>(), "Random seed")
+        ("write_cdec_grammar,g", po::value<string>(), "Write cdec grammar to this file")
+        ("write_cdec_weights,w", po::value<string>(), "Write cdec weights to this file")
+        ("poisson_length,p", "Use a Poisson distribution as the length of a phrase in the base distribuion")
+        ("no_hyperparameter_inference,N", "Disable hyperparameter inference");
+  po::options_description clo("Command line options");
+  clo.add_options()
+        ("config", po::value<string>(), "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<string>().c_str());
+    po::store(po::parse_config_file(config, dconfig_options), *conf);
+  }
+  po::notify(*conf);
+
+  if (conf->count("help") || (conf->count("input") == 0)) {
+    cerr << dcmdline_options << endl;
+    exit(1);
+  }
+}
+
+void ReadCorpus(const string& filename, vector<vector<int> >* c, set<int>* vocab) {
+  c->clear();
+  istream* in;
+  if (filename == "-")
+    in = &cin;
+  else
+    in = new ifstream(filename.c_str());
+  assert(*in);
+  string line;
+  while(*in) {
+    getline(*in, line);
+    if (line.empty() && !*in) break;
+    c->push_back(vector<int>());
+    vector<int>& v = c->back();
+    d.ConvertWhitespaceDelimitedLine(line, &v);
+    for (int i = 0; i < v.size(); ++i) vocab->insert(v[i]);
+  }
+  if (in != &cin) delete in;
+}
+
+double log_poisson(unsigned x, const double& lambda) {
+  assert(lambda > 0.0);
+  return log(lambda) * x - lgamma(x + 1) - lambda;
+}
+
+struct UniphraseLM {
+  UniphraseLM(const vector<vector<int> >& corpus,
+              const set<int>& vocab,
+              const po::variables_map& conf) :
+    phrases_(1,1,1,1),
+    gen_(1,1,1,1),
+    corpus_(corpus),
+    uniform_word_(1.0 / vocab.size()),
+    gen_p0_(0.5),
+    p_end_(0.5),
+    use_poisson_(conf.count("poisson_length") > 0) {}
+
+  double p0(const vector<int>& phrase) const {
+    static vector<double> p0s(10000, 0.0);
+    assert(phrase.size() < 10000);
+    double& p = p0s[phrase.size()];
+    if (p) return p;
+    p = exp(log_p0(phrase));
+    if (!p) {
+      cerr << "0 prob phrase: " << phrase << "\nAssigning std::numeric_limits<double>::min()\n";
+      p = std::numeric_limits<double>::min();
+    }
+    return p;
+  }
+
+  double log_p0(const vector<int>& phrase) const {
+    double len_logprob;
+    if (use_poisson_)
+      len_logprob = log_poisson(phrase.size(), 1.0);
+    else
+      len_logprob = log(1 - p_end_) * (phrase.size() -1) + log(p_end_);
+    return log(uniform_word_) * phrase.size() + len_logprob;
+  }
+
+  double llh() const {
+    double llh = gen_.log_crp_prob();
+    llh += gen_.num_tables(false) * log(gen_p0_) +
+           gen_.num_tables(true) * log(1 - gen_p0_);
+    double llhr = phrases_.log_crp_prob();
+    for (CCRP<vector<int> >::const_iterator it = phrases_.begin(); it != phrases_.end(); ++it) {
+      llhr += phrases_.num_tables(it->first) * log_p0(it->first);
+      //llhr += log_p0(it->first);
+      if (!isfinite(llh)) {
+        cerr << it->first << endl;
+        cerr << log_p0(it->first) << endl;
+        abort();
+      }
+    }
+    return llh + llhr;
+  }
+
+  void Sample(unsigned int samples, bool hyp_inf, MT19937* rng) {
+    cerr << "Initializing...\n";
+    z_.resize(corpus_.size());
+    int tc = 0;
+    for (int i = 0; i < corpus_.size(); ++i) {
+      const vector<int>& line = corpus_[i];
+      const int ls = line.size();
+      const int last_pos = ls - 1;
+      vector<bool>& z = z_[i];
+      z.resize(ls);
+      int prev = 0;
+      for (int j = 0; j < ls; ++j) {
+        z[j] = rng->next() < 0.5;
+        if (j == last_pos) z[j] = true;  // break phrase at the end of the sentence
+        if (z[j]) {
+          const vector<int> p(line.begin() + prev, line.begin() + j + 1);
+          phrases_.increment(p, p0(p), rng);
+          //cerr << p << ": " << p0(p) << endl;
+          prev = j + 1;
+          gen_.increment(false, gen_p0_, rng);
+          ++tc; // remove
+        }
+      }
+      ++tc;
+      gen_.increment(true, 1.0 - gen_p0_, rng); // end of utterance
+    }
+    cerr << "TC: " << tc << endl;
+    cerr << "Initial LLH: " << llh() << endl;
+    cerr << "Sampling...\n";
+    cerr << gen_ << endl;
+    for (int s = 1; s < samples; ++s) {
+      cerr << '.';
+      if (s % 10 == 0) {
+        cerr << " [" << s;
+        if (hyp_inf) ResampleHyperparameters(rng);
+        cerr << " LLH=" << llh() << "]\n";
+        vector<int> z(z_[0].size(), 0);
+        //for (int j = 0; j < z.size(); ++j) z[j] = z_[0][j];
+        //SegCorpus::Write(corpus_[0], z, d);
+      }
+      for (int i = 0; i < corpus_.size(); ++i) {
+        const vector<int>& line = corpus_[i];
+        const int ls = line.size();
+        const int last_pos = ls - 1;
+        vector<bool>& z = z_[i];
+        int prev = 0;
+        for (int j = 0; j < last_pos; ++j) { // don't resample last position
+          int next = j+1;  while(!z[next]) { ++next; }
+          const vector<int> p1p2(line.begin() + prev, line.begin() + next + 1);
+          const vector<int> p1(line.begin() + prev, line.begin() + j + 1);
+          const vector<int> p2(line.begin() + j + 1, line.begin() + next + 1);
+
+          if (z[j]) {
+            phrases_.decrement(p1, rng);
+            phrases_.decrement(p2, rng);
+            gen_.decrement(false, rng);
+            gen_.decrement(false, rng);
+          } else {
+            phrases_.decrement(p1p2, rng);
+            gen_.decrement(false, rng);
+          }
+
+          const double d1 = phrases_.prob(p1p2, p0(p1p2)) * gen_.prob(false, gen_p0_);
+          double d2 = phrases_.prob(p1, p0(p1)) * gen_.prob(false, gen_p0_);
+          phrases_.increment(p1, p0(p1), rng);
+          gen_.increment(false, gen_p0_, rng);
+          d2 *= phrases_.prob(p2, p0(p2)) * gen_.prob(false, gen_p0_);
+          phrases_.decrement(p1, rng);
+          gen_.decrement(false, rng);
+          z[j] = rng->SelectSample(d1, d2);
+
+          if (z[j]) {
+            phrases_.increment(p1, p0(p1), rng);
+            phrases_.increment(p2, p0(p2), rng);
+            gen_.increment(false, gen_p0_, rng);
+            gen_.increment(false, gen_p0_, rng);
+            prev = j + 1;
+          } else {
+            phrases_.increment(p1p2, p0(p1p2), rng);
+            gen_.increment(false, gen_p0_, rng);
+          }
+        }
+      }
+    }
+//    cerr << endl << endl << gen_ << endl << phrases_ << endl;
+    cerr << gen_.prob(false, gen_p0_) << " " << gen_.prob(true, 1 - gen_p0_) << endl;
+  }
+
+  void WriteCdecGrammarForCurrentSample(ostream* os) const {
+    CCRP<vector<int> >::const_iterator it = phrases_.begin();
+    for (; it != phrases_.end(); ++it) {
+      (*os) << "[X] ||| " << Join(' ', it->first) << " ||| "
+                          << Join('_', it->first) << " ||| C=1 P=" 
+                          << log(phrases_.prob(it->first, p0(it->first))) << endl;
+    }
+  }
+
+  double OOVUnigramLogProb() const {
+    vector<int> x(1,99999999);
+    return log(phrases_.prob(x, p0(x)));
+  }
+
+  void ResampleHyperparameters(MT19937* rng) {
+    phrases_.resample_hyperparameters(rng);
+    gen_.resample_hyperparameters(rng);
+    cerr << " d=" << phrases_.discount() << ",c=" << phrases_.concentration();
+  }
+
+  CCRP<vector<int> > phrases_;
+  CCRP<bool> gen_;
+  vector<vector<bool> > z_;   // z_[i] is there a phrase boundary after the ith word
+  const vector<vector<int> >& corpus_;
+  const double uniform_word_;
+  const double gen_p0_;
+  const double p_end_; // in base length distribution, p of the end of a phrase
+  const bool use_poisson_;
+};
+
+
+int main(int argc, char** argv) {
+  po::variables_map conf;
+  InitCommandLine(argc, argv, &conf);
+  shared_ptr<MT19937> prng;
+  if (conf.count("random_seed"))
+    prng.reset(new MT19937(conf["random_seed"].as<uint32_t>()));
+  else
+    prng.reset(new MT19937);
+  MT19937& rng = *prng;
+
+  vector<vector<int> > corpus;
+  set<int> vocab;
+  ReadCorpus(conf["input"].as<string>(), &corpus, &vocab);
+  cerr << "Corpus size: " << corpus.size() << " sentences\n";
+  cerr << "Vocabulary size: " << vocab.size() << " types\n";
+
+  UniphraseLM ulm(corpus, vocab, conf);
+  ulm.Sample(conf["samples"].as<unsigned>(), conf.count("no_hyperparameter_inference") == 0, &rng);
+  cerr << "OOV unigram prob: " << ulm.OOVUnigramLogProb() << endl;
+
+  for (int i = 0; i < corpus.size(); ++i)
+//    SegCorpus::Write(corpus[i], shmmlm.z_[i], d);
+ ;
+  if (conf.count("write_cdec_grammar")) {
+    string fname = conf["write_cdec_grammar"].as<string>();
+    cerr << "Writing model to " << fname << " ...\n";
+    WriteFile wf(fname);
+    ulm.WriteCdecGrammarForCurrentSample(wf.stream());
+  }
+
+  if (conf.count("write_cdec_weights")) {
+    string fname = conf["write_cdec_weights"].as<string>();
+    cerr << "Writing weights to " << fname << " .\n";
+    WriteFile wf(fname);
+    ostream& os = *wf.stream();
+    os << "# make C smaller to use more phrases\nP 1\nPassThrough " << ulm.OOVUnigramLogProb() << "\nC -3\n";
+  }
+
+  
+
+  return 0;
+}
+
diff --git a/phrasinator/train-phrasinator.pl b/phrasinator/train-phrasinator.pl
new file mode 100755
index 00000000..de258caf
--- /dev/null
+++ b/phrasinator/train-phrasinator.pl
@@ -0,0 +1,89 @@
+#!/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 Getopt::Long;
+use File::Spec qw (rel2abs);
+
+my $DECODER = "$script_dir/../decoder/cdec";
+my $TRAINER = "$script_dir/gibbs_train_plm";
+
+die "Can't find $TRAINER" unless -f $TRAINER;
+die "Can't execute $TRAINER" unless -x $TRAINER;
+
+if (!GetOptions(
+	"decoder=s" => \$DECODER,
+)) { usage(); }
+
+die "Can't find $DECODER" unless -f $DECODER;
+die "Can't execute $DECODER" unless -x $DECODER;
+if (scalar @ARGV != 2) { usage(); }
+my $INFILE = shift @ARGV;
+my $OUTDIR = shift @ARGV;
+$OUTDIR = File::Spec->rel2abs($OUTDIR);
+print STDERR "      Input file: $INFILE\n";
+print STDERR "Output directory: $OUTDIR\n";
+open F, "<$INFILE" or die "Failed to open $INFILE for reading: $!";
+close F;
+die "Please remove existing directory $OUTDIR\n" if (-f $OUTDIR || -d $OUTDIR);
+
+my $CMD = "mkdir $OUTDIR";
+safesystem($CMD) or die "Failed to create directory $OUTDIR\n$!";
+
+my $grammar="$OUTDIR/grammar.gz";
+my $weights="$OUTDIR/weights";
+$CMD = "$TRAINER -w $weights -g $grammar -i $INFILE";
+safesystem($CMD) or die "Failed to train model!\n";
+my $cdecini = "$OUTDIR/cdec.ini";
+open C, ">$cdecini" or die "Failed to open $cdecini for writing: $!";
+
+print C <<EOINI;
+quiet=true
+formalism=scfg
+grammar=$grammar
+add_pass_through_rules=true
+weights=$OUTDIR/weights
+EOINI
+
+close C;
+
+print <<EOT;
+
+Model trained successfully.  Text can be decoded into phrasal units with
+the following command:
+
+  $DECODER -c $OUTDIR/cdec.ini < FILE.TXT
+
+EOT
+exit(0);
+
+sub usage {
+  print <<EOT;
+Usage: $0 [options] INPUT.TXT OUTPUT-DIRECTORY
+
+  Infers a phrasal segmentation model from the tokenized text in INPUT.TXT
+  and writes it to OUTPUT-DIRECTORY/ so that it can be applied to other
+  text or have its granularity altered.
+
+EOT
+  exit(1);
+}
+
+sub safesystem {
+  print STDERR "Executing: @_\n";
+  system(@_);
+  if ($? == -1) {
+      print STDERR "ERROR: Failed to execute: @_\n  $!\n";
+      exit(1);
+  }
+  elsif ($? & 127) {
+      printf STDERR "ERROR: Execution of: @_\n  died with signal %d, %s coredump\n",
+          ($? & 127),  ($? & 128) ? 'with' : 'without';
+      exit(1);
+  }
+  else {
+    my $exitcode = $? >> 8;
+    print STDERR "Exit code: $exitcode\n" if $exitcode;
+    return ! $exitcode;
+  }
+}
+
diff --git a/phrasinator/train_plm.cc b/phrasinator/train_plm.cc
deleted file mode 100644
index bb41ad26..00000000
--- a/phrasinator/train_plm.cc
+++ /dev/null
@@ -1,5 +0,0 @@
-#include <iostream>
-
-int main(int argc, char** argv) {
-  return 0;
-}
diff --git a/utils/dict.h b/utils/dict.h
index 348a97e3..75ea3def 100644
--- a/utils/dict.h
+++ b/utils/dict.h
@@ -21,6 +21,30 @@ class Dict {
 
   inline int max() const { return words_.size(); }
 
+  static bool is_ws(char x) {
+    return (x == ' ' || x == '\t');
+  }
+
+  inline void ConvertWhitespaceDelimitedLine(const std::string& line, std::vector<int>* out) {
+    size_t cur = 0;
+    size_t last = 0;
+    int state = 0;
+    out->clear();
+    while(cur < line.size()) {
+      if (is_ws(line[cur++])) {
+        if (state == 0) continue;
+        out->push_back(Convert(line.substr(last, cur - last - 1)));
+        state = 0;
+      } else {
+        if (state == 1) continue;
+        last = cur - 1;
+        state = 1;
+      }
+    }
+    if (state == 1)
+      out->push_back(Convert(line.substr(last, cur - last)));
+  }
+
   inline WordID Convert(const std::string& word, bool frozen = false) {
     Map::iterator i = d_.find(word);
     if (i == d_.end()) {