From 2236c965384b968e010b757691db20d95c349a73 Mon Sep 17 00:00:00 2001
From: redpony <redpony@ec762483-ff6d-05da-a07a-a48fb63a330f>
Date: Wed, 13 Oct 2010 16:22:54 +0000
Subject: trigger ff, max iteration for online optimizer

git-svn-id: https://ws10smt.googlecode.com/svn/trunk@671 ec762483-ff6d-05da-a07a-a48fb63a330f
---
 decoder/cdec_ff.cc      |  2 +-
 decoder/ff_wordalign.cc | 59 ++++++++++++++++++++++++++++++++++++++++++++++++-
 decoder/ff_wordalign.h  | 21 ++++++++++++++++++
 3 files changed, 80 insertions(+), 2 deletions(-)

(limited to 'decoder')

diff --git a/decoder/cdec_ff.cc b/decoder/cdec_ff.cc
index c0c595a5..3240b6f2 100644
--- a/decoder/cdec_ff.cc
+++ b/decoder/cdec_ff.cc
@@ -54,6 +54,6 @@ void register_feature_functions() {
   ff_registry.Register("CSplit_ReverseCharLM", new FFFactory<ReverseCharLMCSplitFeature>);
   ff_registry.Register("Tagger_BigramIdentity", new FFFactory<Tagger_BigramIdentity>);
   ff_registry.Register("LexicalPairIdentity", new FFFactory<LexicalPairIdentity>);
-
+  ff_registry.Register("LexicalTranslationTrigger", new FFFactory<LexicalTranslationTrigger>);
 }
 
diff --git a/decoder/ff_wordalign.cc b/decoder/ff_wordalign.cc
index da86b714..b4981961 100644
--- a/decoder/ff_wordalign.cc
+++ b/decoder/ff_wordalign.cc
@@ -266,7 +266,6 @@ void MarkovJump::TraversalFeaturesImpl(const SentenceMetadata& smeta,
   }
 }
 
-// state: src word used, number of trg words generated
 SourceBigram::SourceBigram(const std::string& param) :
     FeatureFunction(sizeof(WordID) + sizeof(int)) {
 }
@@ -405,6 +404,64 @@ void SourcePOSBigram::TraversalFeaturesImpl(const SentenceMetadata& smeta,
   }
 }
 
+LexicalTranslationTrigger::LexicalTranslationTrigger(const std::string& param) :
+    FeatureFunction(0) {
+  if (param.empty()) {
+    cerr << "LexicalTranslationTrigger requires a parameter (file containing triggers)!\n";
+  } else {
+    ReadFile rf(param);
+    istream& in = *rf.stream();
+    string line;
+    while(in) {
+      getline(in, line);
+      if (!in) continue;
+      vector<WordID> v;
+      TD::ConvertSentence(line, &v);
+      triggers_.push_back(v);
+    }
+  }
+}
+  
+void LexicalTranslationTrigger::FireFeature(WordID trigger, 
+                                     WordID src,
+                                     WordID trg,
+                                     SparseVector<double>* features) const {
+  int& fid = fmap_[trigger][src][trg];
+  if (!fid) {
+    ostringstream os;
+    os << "T:" << TD::Convert(trigger) << ':' << TD::Convert(src) << '_' << TD::Convert(trg);
+    fid = FD::Convert(os.str());
+  }
+  features->set_value(fid, 1.0);
+
+  int &tfid = target_fmap_[trigger][trg];
+  if (!tfid) {
+    ostringstream os;
+    os << "TT:" << TD::Convert(trigger) << ':' << TD::Convert(trg);
+    tfid = FD::Convert(os.str());
+  }
+  features->set_value(tfid, 1.0);
+}
+
+void LexicalTranslationTrigger::TraversalFeaturesImpl(const SentenceMetadata& smeta,
+                                     const Hypergraph::Edge& edge,
+                                     const std::vector<const void*>& ant_contexts,
+                                     SparseVector<double>* features,
+                                            SparseVector<double>* /* estimated_features */,
+                                     void* context) const {
+  if (edge.Arity() == 0) {
+    assert(edge.rule_->EWords() == 1);
+    assert(edge.rule_->FWords() == 1);
+    WordID trg = edge.rule_->e()[0]; 
+    WordID src = edge.rule_->f()[0];
+    const vector<WordID>& triggers = triggers_[smeta.GetSentenceID()];
+    for (int i = 0; i < triggers.size(); ++i) {
+      FireFeature(triggers[i], src, trg, features);
+    }
+  }
+}
+
+// state: src word used, number of trg words generated
 AlignerResults::AlignerResults(const std::string& param) :
     cur_sent_(-1),
     cur_grid_(NULL) {
diff --git a/decoder/ff_wordalign.h b/decoder/ff_wordalign.h
index ebbecfea..0754d70e 100644
--- a/decoder/ff_wordalign.h
+++ b/decoder/ff_wordalign.h
@@ -78,6 +78,7 @@ class MarkovJumpFClass : public FeatureFunction {
 
 typedef std::map<WordID, int> Class2FID;
 typedef std::map<WordID, Class2FID> Class2Class2FID;
+typedef std::map<WordID, Class2Class2FID> Class2Class2Class2FID;
 class SourceBigram : public FeatureFunction {
  public:
   SourceBigram(const std::string& param);
@@ -118,6 +119,26 @@ class SourcePOSBigram : public FeatureFunction {
   std::vector<std::vector<WordID> > pos_;
 };
 
+class LexicalTranslationTrigger : public FeatureFunction {
+ public:
+  LexicalTranslationTrigger(const std::string& param);
+ protected:
+  virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
+                                     const Hypergraph::Edge& edge,
+                                     const std::vector<const void*>& ant_contexts,
+                                     SparseVector<double>* features,
+                                     SparseVector<double>* estimated_features,
+                                     void* context) const;
+ private:
+  void FireFeature(WordID trigger,
+                   WordID src,
+                   WordID trg,
+                   SparseVector<double>* features) const;
+  mutable Class2Class2Class2FID fmap_;  // trigger,src,trg
+  mutable Class2Class2FID target_fmap_;  // trigger,src,trg
+  std::vector<std::vector<WordID> > triggers_;
+};
+
 class AlignerResults : public FeatureFunction {
  public:
   AlignerResults(const std::string& param);
-- 
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