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;
}
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;
}