Merge branch 'master' of https://github.com/redpony/cdec

3 files changed, 50 insertions, 21 deletions

diff --git a/word-aligner/fast_align.cc b/word-aligner/fast_align.cc
index 9eb1dbc6..fddcba9c 100644
--- a/word-aligner/fast_align.cc
+++ b/word-aligner/fast_align.cc
@@ -33,11 +33,13 @@ bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
         ("variational_bayes,v","Infer VB estimate of parameters under a symmetric Dirichlet prior")
         ("alpha,a", po::value<double>()->default_value(0.01), "Hyperparameter for optional Dirichlet prior")
         ("no_null_word,N","Do not generate from a null token")
-        ("output_parameters,p", "Write model parameters instead of alignments")
+        ("output_parameters,p", po::value<string>(), "Write model parameters to file")
         ("beam_threshold,t",po::value<double>()->default_value(-4),"When writing parameters, log_10 of beam threshold for writing parameter (-10000 to include everything, 0 max parameter only)")
         ("hide_training_alignments,H", "Hide training alignments (only useful if you want to use -x option and just compute testset statistics)")
         ("testset,x", po::value<string>(), "After training completes, compute the log likelihood of this set of sentence pairs under the learned model")
-        ("no_add_viterbi,V","When writing model parameters, do not add Viterbi alignment points (may generate a grammar where some training sentence pairs are unreachable)");
+        ("no_add_viterbi,V","When writing model parameters, do not add Viterbi alignment points (may generate a grammar where some training sentence pairs are unreachable)")
+		("force_align,f",po::value<string>(), "Load previously written parameters to 'force align' input. Set --diagonal_tension and --mean_srclen_multiplier as estimated during training.")
+		("mean_srclen_multiplier,m",po::value<double>()->default_value(1), "When --force_align, use this source length multiplier");
   po::options_description clo("Command line options");
   clo.add_options()
         ("config", po::value<string>(), "Configuration file")
@@ -66,18 +68,20 @@ int main(int argc, char** argv) {
   if (!InitCommandLine(argc, argv, &conf)) return 1;
   const string fname = conf["input"].as<string>();
   const bool reverse = conf.count("reverse") > 0;
-  const int ITERATIONS = conf["iterations"].as<unsigned>();
+  const int ITERATIONS = (conf.count("force_align")) ? 0 : conf["iterations"].as<unsigned>();
   const double BEAM_THRESHOLD = pow(10.0, conf["beam_threshold"].as<double>());
   const bool use_null = (conf.count("no_null_word") == 0);
   const WordID kNULL = TD::Convert("<eps>");
   const bool add_viterbi = (conf.count("no_add_viterbi") == 0);
   const bool variational_bayes = (conf.count("variational_bayes") > 0);
-  const bool write_alignments = (conf.count("output_parameters") == 0);
+  const bool output_parameters = (conf.count("force_align")) ? false : conf.count("output_parameters");
   double diagonal_tension = conf["diagonal_tension"].as<double>();
   bool optimize_tension = conf.count("optimize_tension");
-  const bool hide_training_alignments = (conf.count("hide_training_alignments") > 0);
+  bool hide_training_alignments = (conf.count("hide_training_alignments") > 0);
+  const bool write_alignments = (conf.count("force_align")) ? true : !hide_training_alignments;
   string testset;
   if (conf.count("testset")) testset = conf["testset"].as<string>();
+  if (conf.count("force_align")) testset = fname;
   double prob_align_null = conf["prob_align_null"].as<double>();
   double prob_align_not_null = 1.0 - prob_align_null;
   const double alpha = conf["alpha"].as<double>();
@@ -86,13 +90,22 @@ int main(int argc, char** argv) {
     cerr << "--alpha must be > 0\n";
     return 1;
   }
-
+  
+  
   TTable s2t, t2s;
   TTable::Word2Word2Double s2t_viterbi;
   unordered_map<pair<short, short>, unsigned, boost::hash<pair<short, short> > > size_counts;
   double tot_len_ratio = 0;
   double mean_srclen_multiplier = 0;
   vector<double> probs;
+  
+  if (conf.count("force_align")) {
+	// load model parameters
+	ReadFile s2t_f(conf["force_align"].as<string>());
+	s2t.DeserializeLogProbsFromText(s2t_f.stream());
+	mean_srclen_multiplier = conf["mean_srclen_multiplier"].as<double>();
+  }
+  
   for (int iter = 0; iter < ITERATIONS; ++iter) {
     const bool final_iteration = (iter == (ITERATIONS - 1));
     cerr << "ITERATION " << (iter + 1) << (final_iteration ? " (FINAL)" : "") << endl;
@@ -289,21 +302,22 @@ int main(int argc, char** argv) {
     cerr << "TOTAL LOG PROB " << tlp << endl;
   }
 
-  if (write_alignments) return 0;
-
-  for (TTable::Word2Word2Double::iterator ei = s2t.ttable.begin(); ei != s2t.ttable.end(); ++ei) {
-    const TTable::Word2Double& cpd = ei->second;
-    const TTable::Word2Double& vit = s2t_viterbi[ei->first];
-    const string& esym = TD::Convert(ei->first);
-    double max_p = -1;
-    for (TTable::Word2Double::const_iterator fi = cpd.begin(); fi != cpd.end(); ++fi)
-      if (fi->second > max_p) max_p = fi->second;
-    const double threshold = max_p * BEAM_THRESHOLD;
-    for (TTable::Word2Double::const_iterator fi = cpd.begin(); fi != cpd.end(); ++fi) {
-      if (fi->second > threshold || (vit.find(fi->first) != vit.end())) {
-        cout << esym << ' ' << TD::Convert(fi->first) << ' ' << log(fi->second) << endl;
-      }
-    } 
+  if (output_parameters) {
+    WriteFile params_out(conf["output_parameters"].as<string>());
+    for (TTable::Word2Word2Double::iterator ei = s2t.ttable.begin(); ei != s2t.ttable.end(); ++ei) {
+      const TTable::Word2Double& cpd = ei->second;
+      const TTable::Word2Double& vit = s2t_viterbi[ei->first];
+      const string& esym = TD::Convert(ei->first);
+      double max_p = -1;
+      for (TTable::Word2Double::const_iterator fi = cpd.begin(); fi != cpd.end(); ++fi)
+        if (fi->second > max_p) max_p = fi->second;
+      const double threshold = max_p * BEAM_THRESHOLD;
+      for (TTable::Word2Double::const_iterator fi = cpd.begin(); fi != cpd.end(); ++fi) {
+        if (fi->second > threshold || (vit.find(fi->first) != vit.end())) {
+          *params_out << esym << ' ' << TD::Convert(fi->first) << ' ' << log(fi->second) << endl;
+        }
+      } 
+    }
   }
   return 0;
 }
diff --git a/word-aligner/ttables.cc b/word-aligner/ttables.cc
index 45bf14c5..c177aa30 100644
--- a/word-aligner/ttables.cc
+++ b/word-aligner/ttables.cc
@@ -21,6 +21,20 @@ void TTable::DeserializeProbsFromText(std::istream* in) {
   cerr << "Loaded " << c << " translation parameters.\n";
 }
 
+void TTable::DeserializeLogProbsFromText(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)] = exp(p);
+  }
+  cerr << "Loaded " << c << " translation parameters.\n";
+}
+
 void TTable::SerializeHelper(string* out, const Word2Word2Double& o) {
   assert(!"not implemented");
 }
diff --git a/word-aligner/ttables.h b/word-aligner/ttables.h
index 9baa13ca..507f591a 100644
--- a/word-aligner/ttables.h
+++ b/word-aligner/ttables.h
@@ -86,6 +86,7 @@ class TTable {
     }
   }
   void DeserializeProbsFromText(std::istream* in);
+  void DeserializeLogProbsFromText(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); }