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author | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2013-03-23 23:09:37 -0400 |
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committer | Chris Dyer <cdyer@allegro.clab.cs.cmu.edu> | 2013-03-23 23:09:37 -0400 |
commit | 4db3a0164dcd97d7540ff4239548df39398fd23c (patch) | |
tree | a9b1dc5e7afafb1d81a1915d7a1743949092e9c4 | |
parent | da52ee6fa4af02b811b8b558ec8437384d2ba5bd (diff) |
fix rules features
-rw-r--r-- | decoder/ff_rules.cc | 20 | ||||
-rw-r--r-- | decoder/ff_rules.h | 1 |
2 files changed, 17 insertions, 4 deletions
diff --git a/decoder/ff_rules.cc b/decoder/ff_rules.cc index 6716d3da..410e083c 100644 --- a/decoder/ff_rules.cc +++ b/decoder/ff_rules.cc @@ -107,7 +107,12 @@ void RuleSourceBigramFeatures::TraversalFeaturesImpl(const SentenceMetadata& sme (*features) += it->second; } -RuleTargetBigramFeatures::RuleTargetBigramFeatures(const std::string& param) { +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) { @@ -126,11 +131,18 @@ void RuleTargetBigramFeatures::TraversalFeaturesImpl(const SentenceMetadata& sme 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]; - if (w < 0) w = -w; - if (w == 0) return; - const string& cur = TD::Convert(w); + 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())); diff --git a/decoder/ff_rules.h b/decoder/ff_rules.h index b100ec34..f210dc65 100644 --- a/decoder/ff_rules.h +++ b/decoder/ff_rules.h @@ -51,6 +51,7 @@ class RuleTargetBigramFeatures : public FeatureFunction { void* context) const; virtual void PrepareForInput(const SentenceMetadata& smeta); private: + std::vector<std::string> inds; mutable std::map<const TRule*, SparseVector<double> > rule2_feats_; }; |