void SourceWordDeletionFeature::Evaluate(const Phrase &source
    , const TargetPhrase &targetPhrase
    , ScoreComponentCollection &scoreBreakdown
    , ScoreComponentCollection &estimatedFutureScore) const
{
  const AlignmentInfo &alignmentInfo = targetPhrase.GetAlignTerm();
  ComputeFeatures(source, targetPhrase, &scoreBreakdown, alignmentInfo);
}
void OpSequenceModel:: Evaluate(const Phrase &source
                                , const TargetPhrase &targetPhrase
                                , ScoreComponentCollection &scoreBreakdown
                                , ScoreComponentCollection &estimatedFutureScore) const
{

  osmHypothesis obj;
  obj.setState(OSM->NullContextState());
  WordsBitmap myBitmap(source.GetSize());
  vector <string> mySourcePhrase;
  vector <string> myTargetPhrase;
  vector<float> scores(5);
  vector <int> alignments;
  int startIndex = 0;
  int endIndex = source.GetSize();

  const AlignmentInfo &align = targetPhrase.GetAlignTerm();
  AlignmentInfo::const_iterator iter;


  for (iter = align.begin(); iter != align.end(); ++iter) {
    alignments.push_back(iter->first);
    alignments.push_back(iter->second);
  }

  for (int i = 0; i < targetPhrase.GetSize(); i++) {
    if (targetPhrase.GetWord(i).IsOOV())
      myTargetPhrase.push_back("_TRANS_SLF_");
    else
      myTargetPhrase.push_back(targetPhrase.GetWord(i).GetFactor(0)->GetString().as_string());
  }

  for (int i = 0; i < source.GetSize(); i++) {
    mySourcePhrase.push_back(source.GetWord(i).GetFactor(0)->GetString().as_string());
  }

  obj.setPhrases(mySourcePhrase , myTargetPhrase);
  obj.constructCepts(alignments,startIndex,endIndex-1,targetPhrase.GetSize());
  obj.computeOSMFeature(startIndex,myBitmap);
  obj.calculateOSMProb(*OSM);
  obj.populateScores(scores);
  estimatedFutureScore.PlusEquals(this, scores);

}
void WordTranslationFeature::EvaluateWithSourceContext(const InputType &input
    , const InputPath &inputPath
    , const TargetPhrase &targetPhrase
    , const StackVec *stackVec
    , ScoreComponentCollection &scoreBreakdown
    , ScoreComponentCollection *estimatedScores) const
{
  const Sentence& sentence = static_cast<const Sentence&>(input);
  const AlignmentInfo &alignment = targetPhrase.GetAlignTerm();

  // process aligned words
  for (AlignmentInfo::const_iterator alignmentPoint = alignment.begin(); alignmentPoint != alignment.end(); alignmentPoint++) {
    const Phrase& sourcePhrase = inputPath.GetPhrase();
    int sourceIndex = alignmentPoint->first;
    int targetIndex = alignmentPoint->second;
    Word ws = sourcePhrase.GetWord(sourceIndex);
    if (m_factorTypeSource == 0 && ws.IsNonTerminal()) continue;
    Word wt = targetPhrase.GetWord(targetIndex);
    if (m_factorTypeSource == 0 && wt.IsNonTerminal()) continue;
    StringPiece sourceWord = ws.GetFactor(m_factorTypeSource)->GetString();
    StringPiece targetWord = wt.GetFactor(m_factorTypeTarget)->GetString();
    if (m_ignorePunctuation) {
      // check if source or target are punctuation
      char firstChar = sourceWord[0];
      CharHash::const_iterator charIterator = m_punctuationHash.find( firstChar );
      if(charIterator != m_punctuationHash.end())
        continue;
      firstChar = targetWord[0];
      charIterator = m_punctuationHash.find( firstChar );
      if(charIterator != m_punctuationHash.end())
        continue;
    }

    if (!m_unrestricted) {
      if (FindStringPiece(m_vocabSource, sourceWord) == m_vocabSource.end())
        sourceWord = "OTHER";
      if (FindStringPiece(m_vocabTarget, targetWord) == m_vocabTarget.end())
        targetWord = "OTHER";
    }

    if (m_simple) {
      // construct feature name
      util::StringStream featureName;
      featureName << m_description << "_";
      featureName << sourceWord;
      featureName << "~";
      featureName << targetWord;
      scoreBreakdown.SparsePlusEquals(featureName.str(), 1);
    }
    if (m_domainTrigger && !m_sourceContext) {
      const bool use_topicid = sentence.GetUseTopicId();
      const bool use_topicid_prob = sentence.GetUseTopicIdAndProb();
      if (use_topicid || use_topicid_prob) {
        if(use_topicid) {
          // use topicid as trigger
          const long topicid = sentence.GetTopicId();
          util::StringStream feature;
          feature << m_description << "_";
          if (topicid == -1)
            feature << "unk";
          else
            feature << topicid;

          feature << "_";
          feature << sourceWord;
          feature << "~";
          feature << targetWord;
          scoreBreakdown.SparsePlusEquals(feature.str(), 1);
        } else {
          // use topic probabilities
          const vector<string> &topicid_prob = *(input.GetTopicIdAndProb());
          if (atol(topicid_prob[0].c_str()) == -1) {
            util::StringStream feature;
            feature << m_description << "_unk_";
            feature << sourceWord;
            feature << "~";
            feature << targetWord;
            scoreBreakdown.SparsePlusEquals(feature.str(), 1);
          } else {
            for (size_t i=0; i+1 < topicid_prob.size(); i+=2) {
              util::StringStream feature;
              feature << m_description << "_";
              feature << topicid_prob[i];
              feature << "_";
              feature << sourceWord;
              feature << "~";
              feature << targetWord;
              scoreBreakdown.SparsePlusEquals(feature.str(), atof((topicid_prob[i+1]).c_str()));
            }
          }
        }
      } else {
        // range over domain trigger words (keywords)
        const long docid = input.GetDocumentId();
        for (boost::unordered_set<std::string>::const_iterator p = m_vocabDomain[docid].begin(); p != m_vocabDomain[docid].end(); ++p) {
          string sourceTrigger = *p;
          util::StringStream feature;
          feature << m_description << "_";
          feature << sourceTrigger;
          feature << "_";
          feature << sourceWord;
          feature << "~";
          feature << targetWord;
          scoreBreakdown.SparsePlusEquals(feature.str(), 1);
        }
      }
    }
    if (m_sourceContext) {
      size_t globalSourceIndex = inputPath.GetWordsRange().GetStartPos() + sourceIndex;
      if (!m_domainTrigger && globalSourceIndex == 0) {
        // add <s> trigger feature for source
        util::StringStream feature;
        feature << m_description << "_";
        feature << "<s>,";
        feature << sourceWord;
        feature << "~";
        feature << targetWord;
        scoreBreakdown.SparsePlusEquals(feature.str(), 1);
      }

      // range over source words to get context
      for(size_t contextIndex = 0; contextIndex < input.GetSize(); contextIndex++ ) {
        if (contextIndex == globalSourceIndex) continue;
        StringPiece sourceTrigger = input.GetWord(contextIndex).GetFactor(m_factorTypeSource)->GetString();
        if (m_ignorePunctuation) {
          // check if trigger is punctuation
          char firstChar = sourceTrigger[0];
          CharHash::const_iterator charIterator = m_punctuationHash.find( firstChar );
          if(charIterator != m_punctuationHash.end())
            continue;
        }

        const long docid = input.GetDocumentId();
        bool sourceTriggerExists = false;
        if (m_domainTrigger)
          sourceTriggerExists = FindStringPiece(m_vocabDomain[docid], sourceTrigger ) != m_vocabDomain[docid].end();
        else if (!m_unrestricted)
          sourceTriggerExists = FindStringPiece(m_vocabSource, sourceTrigger ) != m_vocabSource.end();

        if (m_domainTrigger) {
          if (sourceTriggerExists) {
            util::StringStream feature;
            feature << m_description << "_";
            feature << sourceTrigger;
            feature << "_";
            feature << sourceWord;
            feature << "~";
            feature << targetWord;
            scoreBreakdown.SparsePlusEquals(feature.str(), 1);
          }
        } else if (m_unrestricted || sourceTriggerExists) {
          util::StringStream feature;
          feature << m_description << "_";
          if (contextIndex < globalSourceIndex) {
            feature << sourceTrigger;
            feature << ",";
            feature << sourceWord;
          } else {
            feature << sourceWord;
            feature << ",";
            feature << sourceTrigger;
          }
          feature << "~";
          feature << targetWord;
          scoreBreakdown.SparsePlusEquals(feature.str(), 1);
        }
      }
    }
    if (m_targetContext) {
      throw runtime_error("Can't use target words outside current translation option in a stateless feature");
      /*
      size_t globalTargetIndex = cur_hypo.GetCurrTargetWordsRange().GetStartPos() + targetIndex;
      if (globalTargetIndex == 0) {
      	// add <s> trigger feature for source
      	stringstream feature;
      	feature << "wt_";
      	feature << sourceWord;
      	feature << "~";
      	feature << "<s>,";
      	feature << targetWord;
      	accumulator->SparsePlusEquals(feature.str(), 1);
      }

      // range over target words (up to current position) to get context
      for(size_t contextIndex = 0; contextIndex < globalTargetIndex; contextIndex++ ) {
      	string targetTrigger = cur_hypo.GetWord(contextIndex).GetFactor(m_factorTypeTarget)->GetString();
      	if (m_ignorePunctuation) {
      		// check if trigger is punctuation
      		char firstChar = targetTrigger.at(0);
      		CharHash::const_iterator charIterator = m_punctuationHash.find( firstChar );
      		if(charIterator != m_punctuationHash.end())
      			continue;
      	}

      	bool targetTriggerExists = false;
      	if (!m_unrestricted)
      		targetTriggerExists = m_vocabTarget.find( targetTrigger ) != m_vocabTarget.end();

      	if (m_unrestricted || targetTriggerExists) {
      		stringstream feature;
      		feature << "wt_";
      		feature << sourceWord;
      		feature << "~";
      		feature << targetTrigger;
      		feature << ",";
      		feature << targetWord;
      		accumulator->SparsePlusEquals(feature.str(), 1);
      	}
      }*/
    }
  }
}