From 4db3a0164dcd97d7540ff4239548df39398fd23c Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@allegro.clab.cs.cmu.edu>
Date: Sat, 23 Mar 2013 23:09:37 -0400
Subject: fix rules features

---
 decoder/ff_rules.cc | 20 ++++++++++++++++----
 decoder/ff_rules.h  |  1 +
 2 files changed, 17 insertions(+), 4 deletions(-)

(limited to 'decoder')

diff --git a/decoder/ff_rules.cc b/decoder/ff_rules.cc
index 6716d3da..410e083c 100644
--- a/decoder/ff_rules.cc
+++ b/decoder/ff_rules.cc
@@ -107,7 +107,12 @@ void RuleSourceBigramFeatures::TraversalFeaturesImpl(const SentenceMetadata& sme
   (*features) += it->second;
 }
 
-RuleTargetBigramFeatures::RuleTargetBigramFeatures(const std::string& param) {
+RuleTargetBigramFeatures::RuleTargetBigramFeatures(const std::string& param) : inds(1000) {
+  for (unsigned i = 0; i < inds.size(); ++i) {
+    ostringstream os;
+    os << (i + 1);
+    inds[i] = os.str();
+  }
 }
 
 void RuleTargetBigramFeatures::PrepareForInput(const SentenceMetadata& smeta) {
@@ -126,11 +131,18 @@ void RuleTargetBigramFeatures::TraversalFeaturesImpl(const SentenceMetadata& sme
     it = rule2_feats_.insert(make_pair(&rule, SparseVector<double>())).first;
     SparseVector<double>& f = it->second;
     string prev = "<r>";
+    vector<WordID> nt_types(rule.Arity());
+    unsigned ntc = 0;
+    for (int i = 0; i < rule.f_.size(); ++i)
+      if (rule.f_[i] < 0) nt_types[ntc++] = -rule.f_[i];
     for (int i = 0; i < rule.e_.size(); ++i) {
       WordID w = rule.e_[i];
-      if (w < 0) w = -w;
-      if (w == 0) return;
-      const string& cur = TD::Convert(w);
+      string cur;
+      if (w > 0) {
+        cur = TD::Convert(w);
+      } else {
+        cur = TD::Convert(nt_types[-w]) + inds[-w];
+      }
       ostringstream os;
       os << "RBT:" << prev << '_' << cur;
       const int fid = FD::Convert(Escape(os.str()));
diff --git a/decoder/ff_rules.h b/decoder/ff_rules.h
index b100ec34..f210dc65 100644
--- a/decoder/ff_rules.h
+++ b/decoder/ff_rules.h
@@ -51,6 +51,7 @@ class RuleTargetBigramFeatures : public FeatureFunction {
                                      void* context) const;
   virtual void PrepareForInput(const SentenceMetadata& smeta);
  private:
+  std::vector<std::string> inds;
   mutable std::map<const TRule*, SparseVector<double> > rule2_feats_;
 };
 
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