summaryrefslogtreecommitdiff
path: root/decoder/ff_wordalign.h
blob: a1ffd9cad8b6fccf83892d746ecae78494e877b3 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
#ifndef _FF_WORD_ALIGN_H_
#define _FF_WORD_ALIGN_H_

#include "ff.h"
#include "array2d.h"
#include "factored_lexicon_helper.h"

#include <boost/scoped_ptr.hpp>
#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
};

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 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;
  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 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_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 Hypergraph::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 Hypergraph::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 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_;
};

// 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 Hypergraph::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
};

class InputIdentity : public FeatureFunction {
 public:
  InputIdentity(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* context) const;
 private:
  void FireFeature(WordID src,
                   SparseVector<double>* features) const;
  mutable Class2FID fmap_;
};

#endif