diff options
author | Chris Dyer <redpony@gmail.com> | 2012-11-05 10:25:54 -0800 |
---|---|---|
committer | Chris Dyer <redpony@gmail.com> | 2012-11-05 10:25:54 -0800 |
commit | 2eb77b77d28f6d9dc88ecb6ca999994bdb555445 (patch) | |
tree | 1e19af403041bd86933ce88fa1a70030ab100ca2 /decoder/ff_rules.cc | |
parent | c615c37501fa8576584a510a9d2bfe2fdd5bace7 (diff) | |
parent | 0c54220adfaada6ad1e2d54f31a9895da35127fd (diff) |
Merge pull request #10 from pks/master
renamed RuleNgramFeatures
Diffstat (limited to 'decoder/ff_rules.cc')
-rw-r--r-- | decoder/ff_rules.cc | 48 |
1 files changed, 43 insertions, 5 deletions
diff --git a/decoder/ff_rules.cc b/decoder/ff_rules.cc index 0aafb0ba..6716d3da 100644 --- a/decoder/ff_rules.cc +++ b/decoder/ff_rules.cc @@ -68,15 +68,15 @@ void RuleIdentityFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta, features->add_value(it->second, 1); } -RuleNgramFeatures::RuleNgramFeatures(const std::string& param) { +RuleSourceBigramFeatures::RuleSourceBigramFeatures(const std::string& param) { } -void RuleNgramFeatures::PrepareForInput(const SentenceMetadata& smeta) { +void RuleSourceBigramFeatures::PrepareForInput(const SentenceMetadata& smeta) { // std::map<const TRule*, SparseVector<double> > rule2_feats_.clear(); } -void RuleNgramFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta, +void RuleSourceBigramFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta, const Hypergraph::Edge& edge, const vector<const void*>& ant_contexts, SparseVector<double>* features, @@ -94,14 +94,52 @@ void RuleNgramFeatures::TraversalFeaturesImpl(const SentenceMetadata& smeta, assert(w > 0); const string& cur = TD::Convert(w); ostringstream os; - os << "RB:" << prev << '_' << cur; + os << "RBS:" << 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>"; + os << "RBS:" << prev << '_' << "</r>"; + f.set_value(FD::Convert(Escape(os.str())), 1.0); + } + (*features) += it->second; +} + +RuleTargetBigramFeatures::RuleTargetBigramFeatures(const std::string& param) { +} + +void RuleTargetBigramFeatures::PrepareForInput(const SentenceMetadata& smeta) { + rule2_feats_.clear(); +} + +void RuleTargetBigramFeatures::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.e_.size(); ++i) { + WordID w = rule.e_[i]; + if (w < 0) w = -w; + if (w == 0) return; + const string& cur = TD::Convert(w); + ostringstream os; + os << "RBT:" << 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 << "RBT:" << prev << '_' << "</r>"; f.set_value(FD::Convert(Escape(os.str())), 1.0); } (*features) += it->second; |