本文整理汇总了C++中TargetPhrase::GetAlignTerm方法的典型用法代码示例。如果您正苦于以下问题：C++ TargetPhrase::GetAlignTerm方法的具体用法？C++ TargetPhrase::GetAlignTerm怎么用？C++ TargetPhrase::GetAlignTerm使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类TargetPhrase的用法示例。
在下文中一共展示了TargetPhrase::GetAlignTerm方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: Evaluate
void SourceWordDeletionFeature::Evaluate(const Phrase &source
, const TargetPhrase &targetPhrase
, ScoreComponentCollection &scoreBreakdown
, ScoreComponentCollection &estimatedFutureScore) const
{
const AlignmentInfo &alignmentInfo = targetPhrase.GetAlignTerm();
ComputeFeatures(source, targetPhrase, &scoreBreakdown, alignmentInfo);
}示例2: myBitmap
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);
}示例3: EvaluateWithSourceContext
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 << "_";
//.........这里部分代码省略.........