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author | Chris Dyer <cdyer@cab.ark.cs.cmu.edu> | 2012-10-16 00:37:21 -0400 |
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committer | Chris Dyer <cdyer@cab.ark.cs.cmu.edu> | 2012-10-16 00:37:21 -0400 |
commit | 09a522afef40e514e741ddf5f9bbc61cfb2170e8 (patch) | |
tree | a6650e02b017ce0b3ed534ad76d6a8e45a26ab0c /decoder/ff_basic.cc | |
parent | 21a8287a2e1451db41c35494647c7b8c3e7e5adc (diff) |
clean up of bad header includes
Diffstat (limited to 'decoder/ff_basic.cc')
-rw-r--r-- | decoder/ff_basic.cc | 80 |
1 files changed, 80 insertions, 0 deletions
diff --git a/decoder/ff_basic.cc b/decoder/ff_basic.cc new file mode 100644 index 00000000..f9404d24 --- /dev/null +++ b/decoder/ff_basic.cc @@ -0,0 +1,80 @@ +#include "ff_basic.h" + +#include "fast_lexical_cast.hpp" +#include "hg.h" + +using namespace std; + +// Hiero and Joshua use log_10(e) as the value, so I do to +WordPenalty::WordPenalty(const string& param) : + fid_(FD::Convert("WordPenalty")), + value_(-1.0 / log(10)) { + if (!param.empty()) { + cerr << "Warning WordPenalty ignoring parameter: " << param << endl; + } +} + +void WordPenalty::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector<const void*>& ant_states, + SparseVector<double>* features, + SparseVector<double>* estimated_features, + void* state) const { + (void) smeta; + (void) ant_states; + (void) state; + (void) estimated_features; + features->set_value(fid_, edge.rule_->EWords() * value_); +} + + +SourceWordPenalty::SourceWordPenalty(const string& param) : + fid_(FD::Convert("SourceWordPenalty")), + value_(-1.0 / log(10)) { + if (!param.empty()) { + cerr << "Warning SourceWordPenalty ignoring parameter: " << param << endl; + } +} + +void SourceWordPenalty::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector<const void*>& ant_states, + SparseVector<double>* features, + SparseVector<double>* estimated_features, + void* state) const { + (void) smeta; + (void) ant_states; + (void) state; + (void) estimated_features; + features->set_value(fid_, edge.rule_->FWords() * value_); +} + + +ArityPenalty::ArityPenalty(const std::string& param) : + value_(-1.0 / log(10)) { + string fname = "Arity_"; + unsigned MAX=DEFAULT_MAX_ARITY; + using namespace boost; + if (!param.empty()) + MAX=lexical_cast<unsigned>(param); + for (unsigned i = 0; i <= MAX; ++i) { + WordID fid=FD::Convert(fname+lexical_cast<string>(i)); + fids_.push_back(fid); + } + while (!fids_.empty() && fids_.back()==0) fids_.pop_back(); // pretty up features vector in case FD was frozen. doesn't change anything +} + +void ArityPenalty::TraversalFeaturesImpl(const SentenceMetadata& smeta, + const Hypergraph::Edge& edge, + const std::vector<const void*>& ant_states, + SparseVector<double>* features, + SparseVector<double>* estimated_features, + void* state) const { + (void) smeta; + (void) ant_states; + (void) state; + (void) estimated_features; + unsigned a=edge.Arity(); + features->set_value(a<fids_.size()?fids_[a]:0, value_); +} + |