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#ifndef _FF_WORD_ALIGN_H_
#define _FF_WORD_ALIGN_H_
#include "ff.h"
#include "array2d.h"
#include "factored_lexicon_helper.h"
#include <boost/functional/hash.hpp>
#include <cassert>
#include <boost/scoped_ptr.hpp>
#include <boost/multi_array.hpp>
#ifndef HAVE_OLD_CPP
# include <unordered_map>
#else
# include <tr1/unordered_map>
namespace std { using std::tr1::unordered_map; }
#endif
class RelativeSentencePosition : public FeatureFunction {
public:
RelativeSentencePosition(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* out_context) const;
private:
const int fid_;
bool condition_on_fclass_;
std::vector<std::vector<WordID> > pos_;
std::map<WordID, int> fids_; // fclass -> fid
};
typedef std::map<WordID, int> Class2FID;
typedef std::map<WordID, Class2FID> Class2Class2FID;
typedef std::map<WordID, Class2Class2FID> Class2Class2Class2FID;
class SourceBigram : public FeatureFunction {
public:
SourceBigram(const std::string& param);
virtual void FinalTraversalFeatures(const void* context,
SparseVector<double>* features) const;
void PrepareForInput(const SentenceMetadata& smeta);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* context) const;
private:
void FireFeature(WordID src,
WordID trg,
SparseVector<double>* features) const;
std::string fid_str_;
mutable Class2Class2FID fmap_;
boost::scoped_ptr<FactoredLexiconHelper> lexmap_; // different view (stemmed, etc) of source
};
class LexNullJump : public FeatureFunction {
public:
LexNullJump(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* out_context) const;
private:
const int fid_lex_null_;
const int fid_null_lex_;
const int fid_null_null_;
const int fid_lex_lex_;
};
class NewJump : public FeatureFunction {
public:
NewJump(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* out_context) const;
private:
void FireFeature(const SentenceMetadata& smeta,
const int prev_src_index,
const int cur_src_index,
SparseVector<double>* features) const;
WordID GetSourceWord(int sentence_id, int index) const {
if (index < 0) return kBOS_;
assert(src_.size() > sentence_id);
const std::vector<WordID>& v = src_[sentence_id];
if (index >= v.size()) return kEOS_;
return v[index];
}
const WordID kBOS_;
const WordID kEOS_;
bool use_binned_log_lengths_;
bool flen_;
bool elen_;
bool f0_;
bool fm1_;
bool fp1_;
bool fprev_;
std::vector<std::vector<WordID> > src_;
std::string fid_str_; // identifies configuration uniquely
};
class LexicalTranslationTrigger : public FeatureFunction {
public:
LexicalTranslationTrigger(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* context) const;
private:
void FireFeature(WordID trigger,
WordID src,
WordID trg,
SparseVector<double>* features) const;
mutable Class2Class2Class2FID fmap_; // trigger,src,trg
mutable Class2Class2FID target_fmap_; // trigger,src,trg
std::vector<std::vector<WordID> > triggers_;
};
class BlunsomSynchronousParseHack : public FeatureFunction {
public:
BlunsomSynchronousParseHack(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* out_context) const;
private:
inline bool DoesNotBelong(const void* state) const {
for (int i = 0; i < StateSize(); ++i) {
if (*(static_cast<const unsigned char*>(state) + i)) return false;
}
return true;
}
inline void AppendAntecedentString(const void* state, std::vector<WordID>* yield) const {
int i = 0;
int ind = 0;
while (i < StateSize() && !(*(static_cast<const unsigned char*>(state) + i))) { ++i; ind += 8; }
// std::cerr << i << " " << StateSize() << std::endl;
assert(i != StateSize());
assert(ind < cur_ref_->size());
int cur = *(static_cast<const unsigned char*>(state) + i);
int comp = 1;
while (comp < 256 && (comp & cur) == 0) { comp <<= 1; ++ind; }
assert(ind < cur_ref_->size());
assert(comp < 256);
do {
assert(ind < cur_ref_->size());
yield->push_back((*cur_ref_)[ind]);
++ind;
comp <<= 1;
if (comp == 256) {
comp = 1;
++i;
cur = *(static_cast<const unsigned char*>(state) + i);
}
} while (comp & cur);
}
inline void SetStateMask(int start, int end, void* state) const {
assert((end / 8) < StateSize());
int i = 0;
int comp = 1;
for (int j = 0; j < start; ++j) {
comp <<= 1;
if (comp == 256) {
++i;
comp = 1;
}
}
//std::cerr << "SM: " << i << "\n";
for (int j = start; j < end; ++j) {
*(static_cast<unsigned char*>(state) + i) |= comp;
//std::cerr << " " << comp << "\n";
comp <<= 1;
if (comp == 256) {
++i;
comp = 1;
}
}
//std::cerr << " MASK: " << ((int)*(static_cast<unsigned char*>(state))) << "\n";
}
const int fid_;
mutable int cur_sent_;
typedef std::unordered_map<std::vector<WordID>, int, boost::hash<std::vector<WordID> > > Vec2Int;
mutable Vec2Int cur_map_;
const std::vector<WordID> mutable * cur_ref_;
mutable std::vector<std::vector<WordID> > refs_;
};
// association feature type look up a pair (e,f) in a table and return a vector
// of feature values
class WordPairFeatures : public FeatureFunction {
public:
WordPairFeatures(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* context) const;
private:
std::vector<WordID> fkeys_; // parallel to values_
std::vector<std::map<WordID, SparseVector<float> > > values_; // fkeys_index -> e -> value
};
// fires when a len(word) >= length_min_ is translated as itself and then a self-transition is made
class IdentityCycleDetector : public FeatureFunction {
public:
IdentityCycleDetector(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* context) const;
private:
int length_min_;
int fid_;
mutable std::map<WordID, bool> big_enough_;
};
class InputIndicator : public FeatureFunction {
public:
InputIndicator(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* context) const;
private:
void FireFeature(WordID src,
SparseVector<double>* features) const;
mutable Class2FID fmap_;
};
class Fertility : public FeatureFunction {
public:
Fertility(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const HG::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* context) const;
private:
mutable std::map<WordID, int> fids_;
};
#endif
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