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#ifndef _FF_BASIC_H_
#define _FF_BASIC_H_
#include "ff.h"
// word penalty feature, for each word on the E side of a rule,
// add value_
class WordPenalty : public FeatureFunction {
public:
WordPenalty(const std::string& param);
static std::string usage(bool p,bool d) {
return usage_helper("WordPenalty","","number of target words (local feature)",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;
private:
const int fid_;
const double value_;
};
class SourceWordPenalty : public FeatureFunction {
public:
SourceWordPenalty(const std::string& param);
static std::string usage(bool p,bool d) {
return usage_helper("SourceWordPenalty","","number of source words (local feature, and meaningless except when input has non-constant number of source words, e.g. segmentation/morphology/speech recognition lattice)",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;
private:
const int fid_;
const double value_;
};
#define DEFAULT_MAX_ARITY 9
#define DEFAULT_MAX_ARITY_STRINGIZE(x) #x
#define DEFAULT_MAX_ARITY_STRINGIZE_EVAL(x) DEFAULT_MAX_ARITY_STRINGIZE(x)
#define DEFAULT_MAX_ARITY_STR DEFAULT_MAX_ARITY_STRINGIZE_EVAL(DEFAULT_MAX_ARITY)
class ArityPenalty : public FeatureFunction {
public:
ArityPenalty(const std::string& param);
static std::string usage(bool p,bool d) {
return usage_helper("ArityPenalty","[MaxArity(default " DEFAULT_MAX_ARITY_STR ")]","Indicator feature Arity_N=1 for rule of arity N (local feature). 0<=N<=MaxArity(default " DEFAULT_MAX_ARITY_STR ")",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;
private:
std::vector<WordID> fids_;
const double value_;
};
#endif
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