simple context feature for tagger

4 files changed, 125 insertions, 0 deletions

diff --git a/decoder/Makefile.am b/decoder/Makefile.am
index 30eaf04d..a00b18af 100644
--- a/decoder/Makefile.am
+++ b/decoder/Makefile.am
@@ -63,6 +63,7 @@ libcdec_a_SOURCES = \
   ff.cc \
   ff_rules.cc \
   ff_wordset.cc \
+  ff_context.cc \
   ff_charset.cc \
   ff_lm.cc \
   ff_klm.cc \
diff --git a/decoder/cdec_ff.cc b/decoder/cdec_ff.cc
index 4ce5749e..b516c386 100644
--- a/decoder/cdec_ff.cc
+++ b/decoder/cdec_ff.cc
@@ -1,6 +1,7 @@
 #include <boost/shared_ptr.hpp>
 
 #include "ff.h"
+#include "ff_context.h"
 #include "ff_spans.h"
 #include "ff_lm.h"
 #include "ff_klm.h"
@@ -42,6 +43,7 @@ void register_feature_functions() {
 #endif
   ff_registry.Register("SpanFeatures", new FFFactory<SpanFeatures>());
   ff_registry.Register("NgramFeatures", new FFFactory<NgramDetector>());
+  ff_registry.Register("RuleContextFeatures", new FFFactory<RuleContextFeatures>());
   ff_registry.Register("RuleIdentityFeatures", new FFFactory<RuleIdentityFeatures>());
   ff_registry.Register("SourceSyntaxFeatures", new FFFactory<SourceSyntaxFeatures>);
   ff_registry.Register("SourceSpanSizeFeatures", new FFFactory<SourceSpanSizeFeatures>);
diff --git a/decoder/ff_context.cc b/decoder/ff_context.cc
new file mode 100644
index 00000000..19f9a413
--- /dev/null
+++ b/decoder/ff_context.cc
@@ -0,0 +1,99 @@
+#include "ff_context.h"
+
+#include <sstream>
+#include <cassert>
+#include <cmath>
+
+#include "filelib.h"
+#include "stringlib.h"
+#include "sentence_metadata.h"
+#include "lattice.h"
+#include "fdict.h"
+#include "verbose.h"
+
+using namespace std;
+
+namespace {
+  string Escape(const string& x) {
+    string y = x;
+    for (int i = 0; i < y.size(); ++i) {
+      if (y[i] == '=') y[i]='_';
+      if (y[i] == ';') y[i]='_';
+    }
+    return y;
+  }
+}
+
+RuleContextFeatures::RuleContextFeatures(const std::string& param) {
+  kSOS = TD::Convert("<s>");
+  kEOS = TD::Convert("</s>");
+
+  // TODO param lets you pass in a string from the cdec.ini file
+}
+
+void RuleContextFeatures::PrepareForInput(const SentenceMetadata& smeta) {
+  const Lattice& sl = smeta.GetSourceLattice();
+  current_input.resize(sl.size());
+  for (unsigned i = 0; i < sl.size(); ++i) {
+    if (sl[i].size() != 1) {
+      cerr << "Context features not supported with lattice inputs!\nid=" << smeta.GetSentenceId() << endl;
+      abort();
+    }
+    current_input[i] = sl[i][0].label;
+  }
+}
+
+void RuleContextFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta,
+                                                const Hypergraph::Edge& edge,
+                                                const vector<const void*>& ant_contexts,
+                                                SparseVector<double>* features,
+                                                SparseVector<double>* estimated_features,
+                                                void* context) const {
+  const TRule& rule = *edge.rule_;
+
+  if (rule.Arity() != 0 || // arity = 0, no nonterminals
+      rule.e_.size() != 1) return; // size = 1, predicted label is a single token
+
+
+  // you can see the current label "for free"
+  const WordID cur_label = rule.e_[0];
+  // (if you want to see more labels, you have to be very careful, and muck
+  //  about with contexts and ant_contexts)
+
+  // but... you can look at as much of the source as you want!
+  const int from_src_index = edge.i_;   // start of the span in the input being labeled
+  const int to_src_index = edge.j_;     // end of the span in the input
+  // (note: in the case of tagging the size of the spans being labeled will
+  //  always be 1, but in other formalisms, you can have bigger spans.)
+
+  // this is the current token being labeled:
+  const WordID cur_input = current_input[from_src_index];
+
+  // let's get the previous token in the input (may be to the left of the start
+  // of the sentence!)
+  WordID prev_input = kSOS;
+  if (from_src_index > 0) { prev_input = current_input[from_src_index - 1]; }
+  // let's get the next token (may be to the left of the start of the sentence!)
+  WordID next_input = kEOS;
+  if (to_src_index < current_input.size()) { next_input = current_input[to_src_index]; }
+
+  // now, build a feature string
+  ostringstream os;
+  // TD::Convert converts from the internal integer representation of a token
+  // to the actual token
+  os << "C1:" << TD::Convert(prev_input) << '_' 
+     << TD::Convert(cur_input) << '|' << TD::Convert(cur_label);
+  // C1 is just to prevent a name clash
+
+  // pick a value
+  double fval = 1.0; // can be any real value
+
+  // add it to the feature vector FD::Convert converts the feature string to a
+  // feature int, Escape makes sure the feature string doesn't have any bad
+  // symbols that could confuse a parser somewhere
+  features->add_value(FD::Convert(Escape(os.str())), fval);
+  // that's it!
+
+  // create more features if you like...
+}
+
diff --git a/decoder/ff_context.h b/decoder/ff_context.h
new file mode 100644
index 00000000..0d22b027
--- /dev/null
+++ b/decoder/ff_context.h
@@ -0,0 +1,23 @@
+#ifndef _FF_CONTEXT_H_
+#define _FF_CONTEXT_H_
+
+#include <vector>
+#include "ff.h"
+
+class RuleContextFeatures : public FeatureFunction {
+ public:
+  RuleContextFeatures(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;
+  virtual void PrepareForInput(const SentenceMetadata& smeta);
+ private:
+  std::vector<WordID> current_input;
+  WordID kSOS, kEOS;
+};
+
+#endif