diff options
Diffstat (limited to 'decoder')
-rw-r--r-- | decoder/Makefile.am | 1 | ||||
-rw-r--r-- | decoder/cdec_ff.cc | 2 | ||||
-rw-r--r-- | decoder/ff_rules.cc | 107 | ||||
-rw-r--r-- | decoder/ff_rules.h | 40 | ||||
-rw-r--r-- | decoder/ff_spans.cc | 39 | ||||
-rw-r--r-- | decoder/ff_spans.h | 15 |
6 files changed, 150 insertions, 54 deletions
diff --git a/decoder/Makefile.am b/decoder/Makefile.am index d884c431..e5f7505f 100644 --- a/decoder/Makefile.am +++ b/decoder/Makefile.am @@ -61,6 +61,7 @@ libcdec_a_SOURCES = \ phrasetable_fst.cc \ trule.cc \ ff.cc \ + ff_rules.cc \ ff_wordset.cc \ ff_charset.cc \ ff_lm.cc \ diff --git a/decoder/cdec_ff.cc b/decoder/cdec_ff.cc index 1ef76a05..588842f1 100644 --- a/decoder/cdec_ff.cc +++ b/decoder/cdec_ff.cc @@ -9,6 +9,7 @@ #include "ff_wordalign.h" #include "ff_tagger.h" #include "ff_factory.h" +#include "ff_rules.h" #include "ff_ruleshape.h" #include "ff_bleu.h" #include "ff_lm_fsa.h" @@ -53,6 +54,7 @@ void register_feature_functions() { #endif ff_registry.Register("SpanFeatures", new FFFactory<SpanFeatures>()); ff_registry.Register("NgramFeatures", new FFFactory<NgramDetector>()); + ff_registry.Register("RuleIdentityFeatures", new FFFactory<RuleIdentityFeatures>()); ff_registry.Register("RuleNgramFeatures", new FFFactory<RuleNgramFeatures>()); ff_registry.Register("CMR2008ReorderingFeatures", new FFFactory<CMR2008ReorderingFeatures>()); ff_registry.Register("KLanguageModel", new KLanguageModelFactory()); diff --git a/decoder/ff_rules.cc b/decoder/ff_rules.cc new file mode 100644 index 00000000..bd4c4cc0 --- /dev/null +++ b/decoder/ff_rules.cc @@ -0,0 +1,107 @@ +#include "ff_rules.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; + } +} + +RuleIdentityFeatures::RuleIdentityFeatures(const std::string& param) { +} + +void RuleIdentityFeatures::PrepareForInput(const SentenceMetadata& smeta) { +// std::map<const TRule*, SparseVector<double> > + rule2_fid_.clear(); +} + +void RuleIdentityFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector<const void*>& ant_contexts, + SparseVector<double>* features, + SparseVector<double>* estimated_features, + void* context) const { + map<const TRule*, int>::iterator it = rule2_fid_.find(edge.rule_.get()); + if (it == rule2_fid_.end()) { + const TRule& rule = *edge.rule_; + ostringstream os; + os << "R:"; + if (rule.lhs_ < 0) os << TD::Convert(-rule.lhs_) << ':'; + for (unsigned i = 0; i < rule.f_.size(); ++i) { + if (i > 0) os << '_'; + WordID w = rule.f_[i]; + if (w < 0) { os << 'N'; w = -w; } + assert(w > 0); + os << TD::Convert(w); + } + os << ':'; + for (unsigned i = 0; i < rule.e_.size(); ++i) { + if (i > 0) os << '_'; + WordID w = rule.e_[i]; + if (w <= 0) { + os << 'N' << (1-w); + } else { + os << TD::Convert(w); + } + } + it = rule2_fid_.insert(make_pair(&rule, FD::Convert(Escape(os.str())))).first; + } + features->add_value(it->second, 1); +} + +RuleNgramFeatures::RuleNgramFeatures(const std::string& param) { +} + +void RuleNgramFeatures::PrepareForInput(const SentenceMetadata& smeta) { +// std::map<const TRule*, SparseVector<double> > + rule2_feats_.clear(); +} + +void RuleNgramFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const vector<const void*>& ant_contexts, + SparseVector<double>* features, + SparseVector<double>* estimated_features, + void* context) const { + map<const TRule*, SparseVector<double> >::iterator it = rule2_feats_.find(edge.rule_.get()); + if (it == rule2_feats_.end()) { + const TRule& rule = *edge.rule_; + it = rule2_feats_.insert(make_pair(&rule, SparseVector<double>())).first; + SparseVector<double>& f = it->second; + string prev = "<r>"; + for (int i = 0; i < rule.f_.size(); ++i) { + WordID w = rule.f_[i]; + if (w < 0) w = -w; + assert(w > 0); + const string& cur = TD::Convert(w); + ostringstream os; + os << "RB:" << prev << '_' << cur; + const int fid = FD::Convert(Escape(os.str())); + if (fid <= 0) return; + f.add_value(fid, 1.0); + prev = cur; + } + ostringstream os; + os << "RB:" << prev << '_' << "</r>"; + f.set_value(FD::Convert(Escape(os.str())), 1.0); + } + (*features) += it->second; +} + diff --git a/decoder/ff_rules.h b/decoder/ff_rules.h new file mode 100644 index 00000000..48d8bd05 --- /dev/null +++ b/decoder/ff_rules.h @@ -0,0 +1,40 @@ +#ifndef _FF_RULES_H_ +#define _FF_RULES_H_ + +#include <vector> +#include <map> +#include "ff.h" +#include "array2d.h" +#include "wordid.h" + +class RuleIdentityFeatures : public FeatureFunction { + public: + RuleIdentityFeatures(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: + mutable std::map<const TRule*, int> rule2_fid_; +}; + +class RuleNgramFeatures : public FeatureFunction { + public: + RuleNgramFeatures(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: + mutable std::map<const TRule*, SparseVector<double> > rule2_feats_; +}; + +#endif diff --git a/decoder/ff_spans.cc b/decoder/ff_spans.cc index bc23974d..0483517b 100644 --- a/decoder/ff_spans.cc +++ b/decoder/ff_spans.cc @@ -193,45 +193,6 @@ void SpanFeatures::PrepareForInput(const SentenceMetadata& smeta) { } } -RuleNgramFeatures::RuleNgramFeatures(const std::string& param) { -} - -void RuleNgramFeatures::PrepareForInput(const SentenceMetadata& smeta) { -// std::map<const TRule*, SparseVector<double> > - rule2_feats_.clear(); -} - -void RuleNgramFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta, - const Hypergraph::Edge& edge, - const vector<const void*>& ant_contexts, - SparseVector<double>* features, - SparseVector<double>* estimated_features, - void* context) const { - map<const TRule*, SparseVector<double> >::iterator it = rule2_feats_.find(edge.rule_.get()); - if (it == rule2_feats_.end()) { - const TRule& rule = *edge.rule_; - it = rule2_feats_.insert(make_pair(&rule, SparseVector<double>())).first; - SparseVector<double>& f = it->second; - string prev = "<r>"; - for (int i = 0; i < rule.f_.size(); ++i) { - WordID w = rule.f_[i]; - if (w < 0) w = -w; - assert(w > 0); - const string& cur = TD::Convert(w); - ostringstream os; - os << "RB:" << prev << '_' << cur; - const int fid = FD::Convert(Escape(os.str())); - if (fid <= 0) return; - f.add_value(fid, 1.0); - prev = cur; - } - ostringstream os; - os << "RB:" << prev << '_' << "</r>"; - f.set_value(FD::Convert(Escape(os.str())), 1.0); - } - (*features) += it->second; -} - inline bool IsArity2RuleReordered(const TRule& rule) { const vector<WordID>& e = rule.e_; for (int i = 0; i < e.size(); ++i) { diff --git a/decoder/ff_spans.h b/decoder/ff_spans.h index b22c4d03..24e0dede 100644 --- a/decoder/ff_spans.h +++ b/decoder/ff_spans.h @@ -44,21 +44,6 @@ class SpanFeatures : public FeatureFunction { WordID oov_; }; -class RuleNgramFeatures : public FeatureFunction { - public: - RuleNgramFeatures(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: - mutable std::map<const TRule*, SparseVector<double> > rule2_feats_; -}; - class CMR2008ReorderingFeatures : public FeatureFunction { public: CMR2008ReorderingFeatures(const std::string& param); |