Felix' https://github.com/felleh lexical word alignment features

1 files changed, 128 insertions, 0 deletions

diff --git a/decoder/ff_lexical.h b/decoder/ff_lexical.h
new file mode 100644
index 00000000..21c85b27
--- /dev/null
+++ b/decoder/ff_lexical.h
@@ -0,0 +1,128 @@
+#ifndef FF_LEXICAL_H_
+#define FF_LEXICAL_H_
+
+#include <vector>
+#include <map>
+#include "trule.h"
+#include "ff.h"
+#include "hg.h"
+#include "array2d.h"
+#include "wordid.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"
+#include "tdict.h"
+#include "hg.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;
+  }
+}
+
+class LexicalFeatures : public FeatureFunction {
+public:
+	LexicalFeatures(const std::string& param) {
+		if (param.empty()) {
+			cerr << "LexicalFeatures: using T,D,I\n";
+			T_ = true; I_ = true; D_ = true;
+		} else {
+			const vector<string> argv = SplitOnWhitespace(param);
+			assert(argv.size() == 3);
+			T_ = (bool) atoi(argv[0].c_str());
+			I_ = (bool) atoi(argv[1].c_str());
+			D_ = (bool) atoi(argv[2].c_str());
+			cerr << "T=" << T_ << " I=" << I_ << " D=" << D_ << endl;
+		}
+	};
+	static std::string usage(bool p,bool d) {
+	    return usage_helper("LexicalFeatures","[0/1 0/1 0/1]","Sparse lexical word translation indicator features. If arguments are supplied, specify like this: translations insertions deletions",p,d);
+	}
+protected:
+	virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
+			const HG::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:
+	mutable std::map<const TRule*, SparseVector<double> > rule2feats_;
+	bool T_;
+	bool I_;
+	bool D_;
+};
+
+void LexicalFeatures::PrepareForInput(const SentenceMetadata& smeta) {
+  rule2feats_.clear(); //  std::map<const TRule*, SparseVector<double> >
+}
+
+void LexicalFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta,
+	const HG::Edge& edge,
+	const std::vector<const void*>& ant_contexts,
+	SparseVector<double>* features,
+	SparseVector<double>* estimated_features,
+	void* context) const {
+	
+	map<const TRule*, SparseVector<double> >::iterator it = rule2feats_.find(edge.rule_.get());	
+	if (it == rule2feats_.end()) {
+		const TRule& rule = *edge.rule_;
+	    it = rule2feats_.insert(make_pair(&rule, SparseVector<double>())).first;
+	    SparseVector<double>& f = it->second;
+	    std::vector<bool> sf(edge.rule_->FLength(),false); // stores if source tokens are visited by alignment points
+		std::vector<bool> se(edge.rule_->ELength(),false); // stores if target tokens are visited by alignment points
+		int fid = 0;
+	    // translations
+	    for (unsigned i=0;i<rule.a_.size();++i) {
+	    	const AlignmentPoint& ap = rule.a_[i];
+	    	sf[ap.s_] = true; // mark index as seen
+	    	se[ap.t_] = true; // mark index as seen
+	    	ostringstream os;
+			os << "LT:" << Escape(TD::Convert(rule.f_[ap.s_])) << ":" << Escape(TD::Convert(rule.e_[ap.t_]));
+			fid = FD::Convert(os.str());
+			if (fid <= 0) continue;
+			if (T_)
+				f.add_value(fid, 1.0);
+	    }
+	    // word deletions
+	    for (unsigned i=0;i<sf.size();++i) {
+	    	if (!sf[i] && rule.f_[i] > 0) {// if not visited and is terminal
+	    		ostringstream os;
+	    		os << "LD:" << Escape(TD::Convert(rule.f_[i]));
+	    		fid = FD::Convert(os.str());
+	    		if (fid <= 0) continue;
+	    		if (D_)
+		    		f.add_value(fid, 1.0);
+	    	}
+	    }
+	    // word insertions
+	    for (unsigned i=0;i<se.size();++i) {
+	    	if (!se[i] && rule.e_[i] >= 1) {// if not visited and is terminal
+	    		ostringstream os;
+	    		os << "LI:" << Escape(TD::Convert(rule.e_[i]));
+	    		fid = FD::Convert(os.str());
+	    		if (fid <= 0) continue;
+	    		if (I_)
+		    		f.add_value(fid, 1.0);
+	    	}
+	    }
+	}
+	(*features) += it->second;
+}
+
+
+#endif