Merge pull request #24 from pks/master

current dtrain version

1 files changed, 59 insertions, 15 deletions

diff --git a/training/dtrain/dtrain.h b/training/dtrain/dtrain.h
index eb0b9f17..3981fb39 100644
--- a/training/dtrain/dtrain.h
+++ b/training/dtrain/dtrain.h
@@ -11,16 +11,19 @@
 #include <boost/algorithm/string.hpp>
 #include <boost/program_options.hpp>
 
-#include "ksampler.h"
-#include "pairsampling.h"
-
-#include "filelib.h"
-
+#include "decoder.h"
+#include "ff_register.h"
+#include "sentence_metadata.h"
+#include "verbose.h"
+#include "viterbi.h"
 
 using namespace std;
-using namespace dtrain;
 namespace po = boost::program_options;
 
+namespace dtrain
+{
+
+
 inline void register_and_convert(const vector<string>& strs, vector<WordID>& ids)
 {
   vector<string>::const_iterator it;
@@ -42,17 +45,55 @@ inline string gettmpf(const string path, const string infix)
   return string(fn);
 }
 
-inline void split_in(string& s, vector<string>& parts)
+typedef double score_t;
+
+struct ScoredHyp
 {
-  unsigned f = 0;
-  for(unsigned i = 0; i < 3; i++) {
-    unsigned e = f;
-    f = s.find("\t", f+1);
-    if (e != 0) parts.push_back(s.substr(e+1, f-e-1));
-    else parts.push_back(s.substr(0, f));
+  vector<WordID> w;
+  SparseVector<double> f;
+  score_t model;
+  score_t score;
+  unsigned rank;
+};
+
+struct LocalScorer
+{
+  unsigned N_;
+  vector<score_t> w_;
+
+  virtual score_t
+  Score(vector<WordID>& hyp, vector<WordID>& ref, const unsigned rank, const unsigned src_len)=0;
+
+  virtual void Reset() {} // only for ApproxBleuScorer, LinearBleuScorer
+
+  inline void
+  Init(unsigned N, vector<score_t> weights)
+  {
+    assert(N > 0);
+    N_ = N;
+    if (weights.empty()) for (unsigned i = 0; i < N_; i++) w_.push_back(1./N_);
+    else w_ = weights;
   }
-  s.erase(0, f+1);
-}
+
+  inline score_t
+  brevity_penalty(const unsigned hyp_len, const unsigned ref_len)
+  {
+    if (hyp_len > ref_len) return 1;
+    return exp(1 - (score_t)ref_len/hyp_len);
+  }
+};
+
+struct HypSampler : public DecoderObserver
+{
+  LocalScorer* scorer_;
+  vector<WordID>* ref_;
+  unsigned f_count_, sz_;
+  virtual vector<ScoredHyp>* GetSamples()=0;
+  inline void SetScorer(LocalScorer* scorer) { scorer_ = scorer; }
+  inline void SetRef(vector<WordID>& ref) { ref_ = &ref; }
+  inline unsigned get_f_count() { return f_count_; }
+  inline unsigned get_sz() { return sz_; }
+};
 
 struct HSReporter
 {
@@ -88,5 +129,8 @@ inline T sign(T z)
   return z < 0 ? -1 : +1;
 }
 
+
+} // namespace
+
 #endif