diff options
Diffstat (limited to 'decoder/ff_wordalign.h')
-rw-r--r-- | decoder/ff_wordalign.h | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/decoder/ff_wordalign.h b/decoder/ff_wordalign.h index 0714229c..418c8768 100644 --- a/decoder/ff_wordalign.h +++ b/decoder/ff_wordalign.h @@ -103,6 +103,43 @@ class SourceBigram : public FeatureFunction { mutable Class2Class2FID fmap_; }; +class LexNullJump : public FeatureFunction { + public: + LexNullJump(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* out_context) const; + private: + const int fid_lex_null_; + const int fid_null_lex_; + const int fid_null_null_; + const int fid_lex_lex_; +}; + +class NewJump : public FeatureFunction { + public: + NewJump(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* out_context) const; + private: + void FireFeature(const SentenceMetadata& smeta, + const int prev_src_index, + const int cur_src_index, + SparseVector<double>* features) const; + + bool use_binned_log_lengths_; + std::string fid_str_; // identifies configuration uniquely +}; + class SourcePOSBigram : public FeatureFunction { public: SourcePOSBigram(const std::string& param); @@ -238,6 +275,24 @@ class BlunsomSynchronousParseHack : public FeatureFunction { mutable std::vector<std::vector<WordID> > refs_; }; +// association feature type look up a pair (e,f) in a table and return a vector +// of feature values +class WordPairFeatures : public FeatureFunction { + public: + WordPairFeatures(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: + std::vector<WordID> fkeys_; // parallel to values_ + std::vector<std::map<WordID, SparseVector<float> > > values_; // fkeys_index -> e -> value +}; + class InputIdentity : public FeatureFunction { public: InputIdentity(const std::string& param); |