本文整理汇总了C++中InputType::GetType方法的典型用法代码示例。如果您正苦于以下问题：C++ InputType::GetType方法的具体用法？C++ InputType::GetType怎么用？C++ InputType::GetType使用的例子？那么恭喜您, 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InputType的用法示例。
在下文中一共展示了InputType::GetType方法的4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: CreateInputPaths
void ChartParser::CreateInputPaths(const InputType &input)
{
size_t size = input.GetSize();
m_inputPathMatrix.resize(size);
UTIL_THROW_IF2(input.GetType() != SentenceInput && input.GetType() != TreeInputType,
"Input must be a sentence or a tree, not lattice or confusion networks");
for (size_t phaseSize = 1; phaseSize <= size; ++phaseSize) {
for (size_t startPos = 0; startPos < size - phaseSize + 1; ++startPos) {
size_t endPos = startPos + phaseSize -1;
vector<InputPath*> &vec = m_inputPathMatrix[startPos];
WordsRange range(startPos, endPos);
Phrase subphrase(input.GetSubString(WordsRange(startPos, endPos)));
const NonTerminalSet &labels = input.GetLabelSet(startPos, endPos);
InputPath *node;
if (range.GetNumWordsCovered() == 1) {
node = new InputPath(subphrase, labels, range, NULL, NULL);
vec.push_back(node);
} else {
const InputPath &prevNode = GetInputPath(startPos, endPos - 1);
node = new InputPath(subphrase, labels, range, &prevNode, NULL);
vec.push_back(node);
}
//m_inputPathQueue.push_back(node);
}
}
}示例2: score
//TODO this should be a factory function!
TranslationOption::TranslationOption(const WordsRange &wordsRange
, const TargetPhrase &targetPhrase
, const InputType &inputType
, int /*whatever*/)
: m_targetPhrase(targetPhrase)
, m_sourceWordsRange (wordsRange)
, m_futureScore(0)
{
const UnknownWordPenaltyProducer *up = StaticData::Instance().GetUnknownWordPenaltyProducer();
if (up) {
const ScoreProducer *scoreProducer = (const ScoreProducer *)up; // not sure why none of the c++ cast works
vector<float> score(1);
score[0] = FloorScore(-numeric_limits<float>::infinity());
m_scoreBreakdown.Assign(scoreProducer, score);
}
if (inputType.GetType() == SentenceInput)
{
Phrase phrase = inputType.GetSubString(wordsRange);
m_sourcePhrase = new Phrase(phrase);
}
else
{ // TODO lex reordering with confusion network
m_sourcePhrase = new Phrase(*targetPhrase.GetSourcePhrase());
//the target phrase from a confusion network/lattice has input scores that we want to keep
m_scoreBreakdown.PlusEquals(targetPhrase.GetScoreBreakdown());
}
}示例3: EvaluateWithSourceContext
void InputFeature::EvaluateWithSourceContext(const InputType &input
, const InputPath &inputPath
, const TargetPhrase &targetPhrase
, const StackVec *stackVec
, ScoreComponentCollection &scoreBreakdown
, ScoreComponentCollection *estimatedScores) const
{
if (m_legacy) {
//binary phrase-table does input feature itself
return;
} else if (input.GetType() == WordLatticeInput) {
const ScorePair *scores = inputPath.GetInputScore();
if (scores) {
scoreBreakdown.PlusEquals(this, *scores);
}
}
}示例4: Phrase
//TODO this should be a factory function!
TranslationOption::TranslationOption(const WordsRange &wordsRange
, const TargetPhrase &targetPhrase
, const InputType &inputType)
: m_targetPhrase(targetPhrase)
, m_sourceWordsRange(wordsRange)
{
// set score
m_scoreBreakdown.PlusEquals(targetPhrase.GetScoreBreakdown());
if (inputType.GetType() == SentenceInput)
{
Phrase phrase = inputType.GetSubString(wordsRange);
m_sourcePhrase = new Phrase(phrase);
}
else
{ // TODO lex reordering with confusion network
m_sourcePhrase = new Phrase(*targetPhrase.GetSourcePhrase());
}
}