mosesdecoder/moses/TranslationOptionCollectionLattice.cpp
2013-10-03 12:03:09 +01:00

203 lines
6.6 KiB
C++

// $Id$
#include <list>
#include "TranslationOptionCollectionLattice.h"
#include "ConfusionNet.h"
#include "WordLattice.h"
#include "DecodeGraph.h"
#include "DecodeStepTranslation.h"
#include "DecodeStepGeneration.h"
#include "FactorCollection.h"
#include "FF/InputFeature.h"
#include "TranslationModel/PhraseDictionaryTreeAdaptor.h"
using namespace std;
namespace Moses
{
/** constructor; just initialize the base class */
TranslationOptionCollectionLattice::TranslationOptionCollectionLattice(
const WordLattice &input
, size_t maxNoTransOptPerCoverage, float translationOptionThreshold)
: TranslationOptionCollection(input, maxNoTransOptPerCoverage, translationOptionThreshold)
{
CHECK(!StaticData::Instance().GetUseLegacyPT());
const InputFeature *inputFeature = StaticData::Instance().GetInputFeature();
CHECK(inputFeature);
size_t size = input.GetSize();
m_inputPathMatrix.resize(size);
// 1-word phrases
for (size_t startPos = 0; startPos < size; ++startPos) {
vector<InputPathList> &vec = m_inputPathMatrix[startPos];
vec.push_back(InputPathList());
InputPathList &list = vec.back();
const std::vector<size_t> &nextNodes = input.GetNextNodes(startPos);
WordsRange range(startPos, startPos);
const NonTerminalSet &labels = input.GetLabelSet(startPos, startPos);
const ConfusionNet::Column &col = input.GetColumn(startPos);
for (size_t i = 0; i < col.size(); ++i) {
const Word &word = col[i].first;
Phrase subphrase;
subphrase.AddWord(word);
const ScorePair &scores = col[i].second;
ScorePair *inputScore = new ScorePair(scores);
InputPath *path = new InputPath(subphrase, labels, range, NULL, inputScore);
size_t nextNode = nextNodes[i];
path->SetNextNode(nextNode);
list.push_back(path);
m_phraseDictionaryQueue.push_back(path);
}
}
// subphrases of 2+ words
for (size_t phaseSize = 2; phaseSize <= size; ++phaseSize) {
for (size_t startPos = 0; startPos < size - phaseSize + 1; ++startPos) {
size_t endPos = startPos + phaseSize -1;
const std::vector<size_t> &nextNodes = input.GetNextNodes(endPos);
WordsRange range(startPos, endPos);
const NonTerminalSet &labels = input.GetLabelSet(startPos, endPos);
vector<InputPathList> &vec = m_inputPathMatrix[startPos];
vec.push_back(InputPathList());
InputPathList &list = vec.back();
// loop thru every previous path
const InputPathList &prevPaths = GetInputPathList(startPos, endPos - 1);
int prevNodesInd = 0;
InputPathList::const_iterator iterPath;
for (iterPath = prevPaths.begin(); iterPath != prevPaths.end(); ++iterPath) {
//for (size_t pathInd = 0; pathInd < prevPaths.size(); ++pathInd) {
const InputPath &prevPath = **iterPath;
//const InputPath &prevPath = *prevPaths[pathInd];
const Phrase &prevPhrase = prevPath.GetPhrase();
const ScorePair *prevInputScore = prevPath.GetInputScore();
CHECK(prevInputScore);
// loop thru every word at this position
const ConfusionNet::Column &col = input.GetColumn(endPos);
for (size_t i = 0; i < col.size(); ++i) {
const Word &word = col[i].first;
Phrase subphrase(prevPhrase);
subphrase.AddWord(word);
const ScorePair &scores = col[i].second;
ScorePair *inputScore = new ScorePair(*prevInputScore);
inputScore->PlusEquals(scores);
InputPath *path = new InputPath(subphrase, labels, range, &prevPath, inputScore);
size_t nextNode = nextNodes[i];
path->SetNextNode(nextNode);
list.push_back(path);
m_phraseDictionaryQueue.push_back(path);
} // for (size_t i = 0; i < col.size(); ++i) {
++prevNodesInd;
} // for (iterPath = prevPaths.begin(); iterPath != prevPaths.end(); ++iterPath) {
}
}
}
InputPathList &TranslationOptionCollectionLattice::GetInputPathList(size_t startPos, size_t endPos)
{
size_t offset = endPos - startPos;
CHECK(offset < m_inputPathMatrix[startPos].size());
return m_inputPathMatrix[startPos][offset];
}
/* forcibly create translation option for a particular source word.
* call the base class' ProcessOneUnknownWord() for each possible word in the confusion network
* at a particular source position
*/
void TranslationOptionCollectionLattice::ProcessUnknownWord(size_t sourcePos)
{
ConfusionNet const& source=dynamic_cast<ConfusionNet const&>(m_source);
ConfusionNet::Column const& coll=source.GetColumn(sourcePos);
const InputPathList &inputPathList = GetInputPathList(sourcePos, sourcePos);
ConfusionNet::Column::const_iterator iterCol;
InputPathList::const_iterator iterInputPath;
size_t j=0;
for(iterCol = coll.begin(), iterInputPath = inputPathList.begin();
iterCol != coll.end();
++iterCol , ++iterInputPath) {
const InputPath &inputPath = **iterInputPath;
size_t length = source.GetColumnIncrement(sourcePos, j++);
const ScorePair &inputScores = iterCol->second;
ProcessOneUnknownWord(inputPath ,sourcePos, length, &inputScores);
}
}
void TranslationOptionCollectionLattice::CreateTranslationOptions()
{
if (!StaticData::Instance().GetUseLegacyPT()) {
GetTargetPhraseCollectionBatch();
}
TranslationOptionCollection::CreateTranslationOptions();
}
/** create translation options that exactly cover a specific input span.
* Called by CreateTranslationOptions() and ProcessUnknownWord()
* \param decodeGraph list of decoding steps
* \param factorCollection input sentence with all factors
* \param startPos first position in input sentence
* \param lastPos last position in input sentence
* \param adhereTableLimit whether phrase & generation table limits are adhered to
*/
void TranslationOptionCollectionLattice::CreateTranslationOptionsForRange(
const DecodeGraph &decodeGraph
, size_t startPos
, size_t endPos
, bool adhereTableLimit
, size_t graphInd)
{
CreateTranslationOptionsForRangeNew(decodeGraph, startPos, endPos, adhereTableLimit, graphInd);
}
void TranslationOptionCollectionLattice::CreateTranslationOptionsForRangeNew(
const DecodeGraph &decodeGraph
, size_t startPos
, size_t endPos
, bool adhereTableLimit
, size_t graphInd)
{
InputPathList &inputPathList = GetInputPathList(startPos, endPos);
InputPathList::iterator iter;
for (iter = inputPathList.begin(); iter != inputPathList.end(); ++iter) {
InputPath &inputPath = **iter;
TranslationOptionCollection::CreateTranslationOptionsForRange(decodeGraph
, startPos
, endPos
, adhereTableLimit
, graphInd
, inputPath);
}
}
} // namespace