diff options
author | Avneesh Saluja <asaluja@gmail.com> | 2013-03-28 18:28:16 -0700 |
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committer | Avneesh Saluja <asaluja@gmail.com> | 2013-03-28 18:28:16 -0700 |
commit | 3d8d656fa7911524e0e6885647173474524e0784 (patch) | |
tree | 81b1ee2fcb67980376d03f0aa48e42e53abff222 /decoder/ff_rules.cc | |
parent | be7f57fdd484e063775d7abf083b9fa4c403b610 (diff) | |
parent | 96fedabebafe7a38a6d5928be8fff767e411d705 (diff) |
fixed conflicts
Diffstat (limited to 'decoder/ff_rules.cc')
-rw-r--r-- | decoder/ff_rules.cc | 62 |
1 files changed, 57 insertions, 5 deletions
diff --git a/decoder/ff_rules.cc b/decoder/ff_rules.cc index bd4c4cc0..410e083c 100644 --- a/decoder/ff_rules.cc +++ b/decoder/ff_rules.cc @@ -10,6 +10,8 @@ #include "lattice.h" #include "fdict.h" #include "verbose.h" +#include "tdict.h" +#include "hg.h" using namespace std; @@ -66,15 +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, @@ -92,14 +94,64 @@ 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) : inds(1000) { + for (unsigned i = 0; i < inds.size(); ++i) { + ostringstream os; + os << (i + 1); + inds[i] = os.str(); + } +} + +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>"; + vector<WordID> nt_types(rule.Arity()); + unsigned ntc = 0; + for (int i = 0; i < rule.f_.size(); ++i) + if (rule.f_[i] < 0) nt_types[ntc++] = -rule.f_[i]; + for (int i = 0; i < rule.e_.size(); ++i) { + WordID w = rule.e_[i]; + string cur; + if (w > 0) { + cur = TD::Convert(w); + } else { + cur = TD::Convert(nt_types[-w]) + inds[-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; |