const TargetPhraseCollection *PhraseDictionaryMultiModel::GetTargetPhraseCollectionLEGACY(const Phrase& src) const
{

  std::vector<std::vector<float> > multimodelweights = getWeights(m_numScoreComponents, true);
  TargetPhraseCollection *ret = NULL;

  std::map<std::string,multiModelStatistics*>* allStats = new(std::map<std::string,multiModelStatistics*>);
  CollectSufficientStatistics(src, allStats);
  ret = CreateTargetPhraseCollectionLinearInterpolation(src, allStats, multimodelweights);
  RemoveAllInMap(*allStats);
  delete allStats;

  ret->NthElement(m_tableLimit); // sort the phrases for pruning later
  const_cast<PhraseDictionaryMultiModel*>(this)->CacheForCleanup(ret);

  return ret;
}
Beispiel #2
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const TargetPhraseCollection *PhraseDictionaryMultiModelCounts::GetTargetPhraseCollection(const Phrase& src) const
{
  vector<vector<float> > multimodelweights;
  bool normalize;
  normalize = (m_mode == "interpolate") ? true : false;
  multimodelweights = getWeights(4,normalize);

  //source phrase frequency is shared among all phrase pairs
  vector<float> fs(m_numModels);

  map<string,multiModelCountsStatistics*>* allStats = new(map<string,multiModelCountsStatistics*>);

  CollectSufficientStatistics(src, fs, allStats);

  TargetPhraseCollection *ret = CreateTargetPhraseCollectionCounts(src, fs, allStats, multimodelweights);

  ret->NthElement(m_tableLimit); // sort the phrases for pruning later
  const_cast<PhraseDictionaryMultiModelCounts*>(this)->CacheForCleanup(ret);
  return ret;
}