mirror of
https://github.com/moses-smt/mosesdecoder.git
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303 lines
10 KiB
C++
303 lines
10 KiB
C++
// $Id$
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#include <list>
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#include "TranslationOptionCollectionConfusionNet.h"
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#include "ConfusionNet.h"
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#include "WordLattice.h"
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#include "DecodeGraph.h"
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#include "DecodeStepTranslation.h"
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#include "DecodeStepGeneration.h"
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#include "FactorCollection.h"
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#include "FF/InputFeature.h"
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#include "TranslationModel/PhraseDictionaryTreeAdaptor.h"
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using namespace std;
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namespace Moses
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{
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/** constructor; just initialize the base class */
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TranslationOptionCollectionConfusionNet::TranslationOptionCollectionConfusionNet(
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const ConfusionNet &input
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, size_t maxNoTransOptPerCoverage, float translationOptionThreshold)
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: TranslationOptionCollection(input, maxNoTransOptPerCoverage, translationOptionThreshold)
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{
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const InputFeature *inputFeature = StaticData::Instance().GetInputFeature();
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CHECK(inputFeature);
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const WordLattice *lattice = dynamic_cast<const WordLattice*>(&input);
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if (lattice) {
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cerr << *lattice << endl;
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}
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size_t size = input.GetSize();
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m_inputPathMatrix.resize(size);
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// 1-word phrases
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for (size_t startPos = 0; startPos < size; ++startPos) {
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vector<InputPathList> &vec = m_inputPathMatrix[startPos];
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vec.push_back(InputPathList());
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InputPathList &list = vec.back();
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const std::vector<size_t> *nextNodes = NULL;
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if (lattice) {
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nextNodes = &lattice->GetNextNodes(startPos);
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}
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WordsRange range(startPos, startPos);
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const NonTerminalSet &labels = input.GetLabelSet(startPos, startPos);
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const ConfusionNet::Column &col = input.GetColumn(startPos);
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for (size_t i = 0; i < col.size(); ++i) {
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const Word &word = col[i].first;
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Phrase subphrase;
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subphrase.AddWord(word);
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const ScorePair &scores = col[i].second;
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ScorePair *inputScore = new ScorePair(scores);
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InputPath *path = new InputPath(subphrase, labels, range, NULL, inputScore);
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if (nextNodes) {
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size_t nextNode = nextNodes->at(i);
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path->SetNextNode(nextNode);
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}
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list.push_back(path);
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m_phraseDictionaryQueue.push_back(path);
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}
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}
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// subphrases of 2+ words
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for (size_t phaseSize = 2; phaseSize <= size; ++phaseSize) {
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for (size_t startPos = 0; startPos < size - phaseSize + 1; ++startPos) {
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size_t endPos = startPos + phaseSize -1;
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const std::vector<size_t> *nextNodes = NULL;
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if (lattice) {
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nextNodes = &lattice->GetNextNodes(endPos);
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}
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WordsRange range(startPos, endPos);
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const NonTerminalSet &labels = input.GetLabelSet(startPos, endPos);
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vector<InputPathList> &vec = m_inputPathMatrix[startPos];
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vec.push_back(InputPathList());
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InputPathList &list = vec.back();
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// loop thru every previous path
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const InputPathList &prevPaths = GetInputPathList(startPos, endPos - 1);
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int prevNodesInd = 0;
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InputPathList::const_iterator iterPath;
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for (iterPath = prevPaths.begin(); iterPath != prevPaths.end(); ++iterPath) {
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//for (size_t pathInd = 0; pathInd < prevPaths.size(); ++pathInd) {
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const InputPath &prevPath = **iterPath;
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//const InputPath &prevPath = *prevPaths[pathInd];
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const Phrase &prevPhrase = prevPath.GetPhrase();
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const ScorePair *prevInputScore = prevPath.GetInputScore();
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CHECK(prevInputScore);
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// loop thru every word at this position
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const ConfusionNet::Column &col = input.GetColumn(endPos);
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for (size_t i = 0; i < col.size(); ++i) {
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const Word &word = col[i].first;
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Phrase subphrase(prevPhrase);
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subphrase.AddWord(word);
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const ScorePair &scores = col[i].second;
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ScorePair *inputScore = new ScorePair(*prevInputScore);
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inputScore->PlusEquals(scores);
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InputPath *path = new InputPath(subphrase, labels, range, &prevPath, inputScore);
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if (nextNodes) {
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size_t nextNode = nextNodes->at(i);
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path->SetNextNode(nextNode);
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}
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list.push_back(path);
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m_phraseDictionaryQueue.push_back(path);
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} // for (size_t i = 0; i < col.size(); ++i) {
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++prevNodesInd;
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} // for (iterPath = prevPaths.begin(); iterPath != prevPaths.end(); ++iterPath) {
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}
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}
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}
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InputPathList &TranslationOptionCollectionConfusionNet::GetInputPathList(size_t startPos, size_t endPos)
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{
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size_t offset = endPos - startPos;
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CHECK(offset < m_inputPathMatrix[startPos].size());
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return m_inputPathMatrix[startPos][offset];
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}
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/* forcibly create translation option for a particular source word.
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* call the base class' ProcessOneUnknownWord() for each possible word in the confusion network
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* at a particular source position
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*/
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void TranslationOptionCollectionConfusionNet::ProcessUnknownWord(size_t sourcePos)
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{
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ConfusionNet const& source=dynamic_cast<ConfusionNet const&>(m_source);
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ConfusionNet::Column const& coll=source.GetColumn(sourcePos);
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const InputPathList &inputPathList = GetInputPathList(sourcePos, sourcePos);
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ConfusionNet::Column::const_iterator iterCol;
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InputPathList::const_iterator iterInputPath;
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size_t j=0;
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for(iterCol = coll.begin(), iterInputPath = inputPathList.begin();
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iterCol != coll.end();
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++iterCol , ++iterInputPath) {
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const InputPath &inputPath = **iterInputPath;
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size_t length = source.GetColumnIncrement(sourcePos, j++);
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const ScorePair &inputScores = iterCol->second;
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ProcessOneUnknownWord(inputPath ,sourcePos, length, &inputScores);
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}
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}
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void TranslationOptionCollectionConfusionNet::CreateTranslationOptions()
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{
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if (!StaticData::Instance().GetUseLegacyPT()) {
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GetTargetPhraseCollectionBatch();
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}
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TranslationOptionCollection::CreateTranslationOptions();
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}
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/** create translation options that exactly cover a specific input span.
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* Called by CreateTranslationOptions() and ProcessUnknownWord()
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* \param decodeGraph list of decoding steps
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* \param factorCollection input sentence with all factors
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* \param startPos first position in input sentence
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* \param lastPos last position in input sentence
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* \param adhereTableLimit whether phrase & generation table limits are adhered to
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*/
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void TranslationOptionCollectionConfusionNet::CreateTranslationOptionsForRange(
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const DecodeGraph &decodeGraph
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, size_t startPos
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, size_t endPos
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, bool adhereTableLimit
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, size_t graphInd)
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{
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if (StaticData::Instance().GetUseLegacyPT()) {
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CreateTranslationOptionsForRangeLEGACY(decodeGraph, startPos, endPos, adhereTableLimit, graphInd);
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} else {
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CreateTranslationOptionsForRangeNew(decodeGraph, startPos, endPos, adhereTableLimit, graphInd);
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}
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}
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void TranslationOptionCollectionConfusionNet::CreateTranslationOptionsForRangeNew(
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const DecodeGraph &decodeGraph
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, size_t startPos
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, size_t endPos
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, bool adhereTableLimit
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, size_t graphInd)
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{
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InputPathList &inputPathList = GetInputPathList(startPos, endPos);
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InputPathList::iterator iter;
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for (iter = inputPathList.begin(); iter != inputPathList.end(); ++iter) {
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InputPath &inputPath = **iter;
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TranslationOptionCollection::CreateTranslationOptionsForRange(decodeGraph
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, startPos
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, endPos
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, adhereTableLimit
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, graphInd
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, inputPath);
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}
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}
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void TranslationOptionCollectionConfusionNet::CreateTranslationOptionsForRangeLEGACY(
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const DecodeGraph &decodeGraph
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, size_t startPos
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, size_t endPos
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, bool adhereTableLimit
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, size_t graphInd)
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{
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if ((StaticData::Instance().GetXmlInputType() != XmlExclusive) || !HasXmlOptionsOverlappingRange(startPos,endPos)) {
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InputPathList &inputPathList = GetInputPathList(startPos, endPos);
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// partial trans opt stored in here
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PartialTranslOptColl* oldPtoc = new PartialTranslOptColl;
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size_t totalEarlyPruned = 0;
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// initial translation step
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list <const DecodeStep* >::const_iterator iterStep = decodeGraph.begin();
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const DecodeStep &decodeStep = **iterStep;
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static_cast<const DecodeStepTranslation&>(decodeStep).ProcessInitialTranslationLEGACY
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(m_source, *oldPtoc
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, startPos, endPos, adhereTableLimit, inputPathList );
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// do rest of decode steps
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int indexStep = 0;
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for (++iterStep ; iterStep != decodeGraph.end() ; ++iterStep) {
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const DecodeStep *decodeStep = *iterStep;
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const DecodeStepTranslation *transStep =dynamic_cast<const DecodeStepTranslation*>(decodeStep);
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const DecodeStepGeneration *genStep =dynamic_cast<const DecodeStepGeneration*>(decodeStep);
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PartialTranslOptColl* newPtoc = new PartialTranslOptColl;
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// go thru each intermediate trans opt just created
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const vector<TranslationOption*>& partTransOptList = oldPtoc->GetList();
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vector<TranslationOption*>::const_iterator iterPartialTranslOpt;
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for (iterPartialTranslOpt = partTransOptList.begin() ; iterPartialTranslOpt != partTransOptList.end() ; ++iterPartialTranslOpt) {
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TranslationOption &inputPartialTranslOpt = **iterPartialTranslOpt;
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if (transStep) {
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transStep->ProcessLEGACY(inputPartialTranslOpt
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, *decodeStep
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, *newPtoc
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, this
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, adhereTableLimit);
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} else {
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CHECK(genStep);
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genStep->Process(inputPartialTranslOpt
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, *decodeStep
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, *newPtoc
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, this
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, adhereTableLimit);
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}
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}
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// last but 1 partial trans not required anymore
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totalEarlyPruned += newPtoc->GetPrunedCount();
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delete oldPtoc;
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oldPtoc = newPtoc;
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indexStep++;
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} // for (++iterStep
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// add to fully formed translation option list
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PartialTranslOptColl &lastPartialTranslOptColl = *oldPtoc;
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const vector<TranslationOption*>& partTransOptList = lastPartialTranslOptColl.GetList();
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vector<TranslationOption*>::const_iterator iterColl;
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for (iterColl = partTransOptList.begin() ; iterColl != partTransOptList.end() ; ++iterColl) {
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TranslationOption *transOpt = *iterColl;
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Add(transOpt);
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}
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lastPartialTranslOptColl.DetachAll();
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totalEarlyPruned += oldPtoc->GetPrunedCount();
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delete oldPtoc;
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// TRACE_ERR( "Early translation options pruned: " << totalEarlyPruned << endl);
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} // if ((StaticData::Instance().GetXmlInputType() != XmlExclusive) || !HasXmlOptionsOverlappingRange(startPos,endPos))
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if (graphInd == 0 && StaticData::Instance().GetXmlInputType() != XmlPassThrough && HasXmlOptionsOverlappingRange(startPos,endPos)) {
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CreateXmlOptionsForRange(startPos, endPos);
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}
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}
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}
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