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#ifndef _FF_WORD_ALIGN_H_
#define _FF_WORD_ALIGN_H_
#include "ff.h"
#include "array2d.h"
#include <boost/multi_array.hpp>
class RelativeSentencePosition : public FeatureFunction {
public:
RelativeSentencePosition(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::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
};
class Model2BinaryFeatures : public FeatureFunction {
public:
Model2BinaryFeatures(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* out_context) const;
private:
boost::multi_array<int, 3> fids_;
};
class MarkovJump : public FeatureFunction {
public:
MarkovJump(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::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 individual_params_per_jumpsize_;
bool condition_on_flen_;
bool condition_on_fclass_;
std::string template_;
};
class MarkovJumpFClass : public FeatureFunction {
public:
MarkovJumpFClass(const std::string& param);
virtual void FinalTraversalFeatures(const void* context,
SparseVector<double>* features) const;
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* context) const;
void FireFeature(const SentenceMetadata& smeta,
int prev_src_pos,
int cur_src_pos,
SparseVector<double>* features) const;
private:
std::vector<std::map<WordID, std::map<int, int> > > fids_; // flen -> fclass -> jumpsize -> fid
std::vector<std::vector<WordID> > pos_;
};
typedef std::map<WordID, int> Class2FID;
typedef std::map<WordID, Class2FID> Class2Class2FID;
class SourcePOSBigram : public FeatureFunction {
public:
SourcePOSBigram(const std::string& param);
virtual void FinalTraversalFeatures(const void* context,
SparseVector<double>* features) const;
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::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;
mutable Class2Class2FID fmap_;
std::vector<std::vector<WordID> > pos_;
};
class AlignerResults : public FeatureFunction {
public:
AlignerResults(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::Edge& edge,
const std::vector<const void*>& ant_contexts,
SparseVector<double>* features,
SparseVector<double>* estimated_features,
void* out_context) const;
private:
int fid_;
std::vector<boost::shared_ptr<Array2D<bool> > > is_aligned_;
mutable int cur_sent_;
const Array2D<bool> mutable* cur_grid_;
};
#include <tr1/unordered_map>
#include <boost/functional/hash.hpp>
#include <cassert>
class BlunsomSynchronousParseHack : public FeatureFunction {
public:
BlunsomSynchronousParseHack(const std::string& param);
protected:
virtual void TraversalFeaturesImpl(const SentenceMetadata& smeta,
const Hypergraph::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 < NumBytesContext(); ++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 < NumBytesContext() && !(*(static_cast<const unsigned char*>(state) + i))) { ++i; ind += 8; }
// std::cerr << i << " " << NumBytesContext() << std::endl;
assert(i != NumBytesContext());
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) < NumBytesContext());
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::tr1::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_;
};
#endif
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