mosesdecoder/moses/SearchNormal.cpp

397 lines
15 KiB
C++

#include "Manager.h"
#include "Timer.h"
#include "SearchNormal.h"
using namespace std;
namespace Moses
{
/**
* Organizing main function
*
* /param source input sentence
* /param transOptColl collection of translation options to be used for this sentence
*/
SearchNormal::SearchNormal(Manager& manager, const InputType &source, const TranslationOptionCollection &transOptColl)
:Search(manager)
,m_source(source)
,m_hypoStackColl(source.GetSize() + 1)
,m_start(clock())
,interrupted_flag(0)
,m_transOptColl(transOptColl)
{
VERBOSE(1, "Translating: " << m_source << endl);
const StaticData &staticData = StaticData::Instance();
// only if constraint decoding (having to match a specified output)
long sentenceID = source.GetTranslationId();
m_constraint = staticData.GetConstrainingPhrase(sentenceID);
if (m_constraint) {
VERBOSE(1, "Search constraint to output: " << *m_constraint<<endl);
}
// initialize the stacks: create data structure and set limits
std::vector < HypothesisStackNormal >::iterator iterStack;
for (size_t ind = 0 ; ind < m_hypoStackColl.size() ; ++ind) {
HypothesisStackNormal *sourceHypoColl = new HypothesisStackNormal(m_manager);
sourceHypoColl->SetMaxHypoStackSize(staticData.GetMaxHypoStackSize(),staticData.GetMinHypoStackDiversity());
sourceHypoColl->SetBeamWidth(staticData.GetBeamWidth());
m_hypoStackColl[ind] = sourceHypoColl;
}
}
SearchNormal::~SearchNormal()
{
RemoveAllInColl(m_hypoStackColl);
}
/**
* Main decoder loop that translates a sentence by expanding
* hypotheses stack by stack, until the end of the sentence.
*/
void SearchNormal::ProcessSentence()
{
const StaticData &staticData = StaticData::Instance();
SentenceStats &stats = m_manager.GetSentenceStats();
clock_t t=0; // used to track time for steps
// initial seed hypothesis: nothing translated, no words produced
Hypothesis *hypo = Hypothesis::Create(m_manager,m_source, m_initialTransOpt);
m_hypoStackColl[0]->AddPrune(hypo);
// go through each stack
std::vector < HypothesisStack* >::iterator iterStack;
for (iterStack = m_hypoStackColl.begin() ; iterStack != m_hypoStackColl.end() ; ++iterStack) {
// check if decoding ran out of time
double _elapsed_time = GetUserTime();
if (_elapsed_time > staticData.GetTimeoutThreshold()) {
VERBOSE(1,"Decoding is out of time (" << _elapsed_time << "," << staticData.GetTimeoutThreshold() << ")" << std::endl);
interrupted_flag = 1;
return;
}
HypothesisStackNormal &sourceHypoColl = *static_cast<HypothesisStackNormal*>(*iterStack);
// the stack is pruned before processing (lazy pruning):
VERBOSE(3,"processing hypothesis from next stack");
IFVERBOSE(2) {
t = clock();
}
sourceHypoColl.PruneToSize(staticData.GetMaxHypoStackSize());
VERBOSE(3,std::endl);
sourceHypoColl.CleanupArcList();
IFVERBOSE(2) {
stats.AddTimeStack( clock()-t );
}
// go through each hypothesis on the stack and try to expand it
HypothesisStackNormal::const_iterator iterHypo;
for (iterHypo = sourceHypoColl.begin() ; iterHypo != sourceHypoColl.end() ; ++iterHypo) {
Hypothesis &hypothesis = **iterHypo;
ProcessOneHypothesis(hypothesis); // expand the hypothesis
}
// some logging
IFVERBOSE(2) {
OutputHypoStackSize();
}
// this stack is fully expanded;
actual_hypoStack = &sourceHypoColl;
}
// some more logging
IFVERBOSE(2) {
m_manager.GetSentenceStats().SetTimeTotal( clock()-m_start );
}
VERBOSE(2, m_manager.GetSentenceStats());
}
/** Find all translation options to expand one hypothesis, trigger expansion
* this is mostly a check for overlap with already covered words, and for
* violation of reordering limits.
* \param hypothesis hypothesis to be expanded upon
*/
void SearchNormal::ProcessOneHypothesis(const Hypothesis &hypothesis)
{
// since we check for reordering limits, its good to have that limit handy
int maxDistortion = StaticData::Instance().GetMaxDistortion();
bool isWordLattice = StaticData::Instance().GetInputType() == WordLatticeInput;
// no limit of reordering: only check for overlap
if (maxDistortion < 0) {
const WordsBitmap hypoBitmap = hypothesis.GetWordsBitmap();
const size_t hypoFirstGapPos = hypoBitmap.GetFirstGapPos()
, sourceSize = m_source.GetSize();
for (size_t startPos = hypoFirstGapPos ; startPos < sourceSize ; ++startPos) {
size_t maxSize = sourceSize - startPos;
size_t maxSizePhrase = StaticData::Instance().GetMaxPhraseLength();
maxSize = (maxSize < maxSizePhrase) ? maxSize : maxSizePhrase;
for (size_t endPos = startPos ; endPos < startPos + maxSize ; ++endPos) {
// basic checks
// there have to be translation options
if (m_transOptColl.GetTranslationOptionList(WordsRange(startPos, endPos)).size() == 0 ||
// no overlap with existing words
hypoBitmap.Overlap(WordsRange(startPos, endPos)) ||
// specified reordering constraints (set with -monotone-at-punctuation or xml)
!m_source.GetReorderingConstraint().Check( hypoBitmap, startPos, endPos ) ) {
continue;
}
//TODO: does this method include incompatible WordLattice hypotheses?
ExpandAllHypotheses(hypothesis, startPos, endPos);
}
}
return; // done with special case (no reordering limit)
}
// if there are reordering limits, make sure it is not violated
// the coverage bitmap is handy here (and the position of the first gap)
const WordsBitmap hypoBitmap = hypothesis.GetWordsBitmap();
const size_t hypoFirstGapPos = hypoBitmap.GetFirstGapPos()
, sourceSize = m_source.GetSize();
// MAIN LOOP. go through each possible range
for (size_t startPos = hypoFirstGapPos ; startPos < sourceSize ; ++startPos) {
// don't bother expanding phrases if the first position is already taken
if(hypoBitmap.GetValue(startPos))
continue;
WordsRange prevRange = hypothesis.GetCurrSourceWordsRange();
size_t maxSize = sourceSize - startPos;
size_t maxSizePhrase = StaticData::Instance().GetMaxPhraseLength();
maxSize = (maxSize < maxSizePhrase) ? maxSize : maxSizePhrase;
size_t closestLeft = hypoBitmap.GetEdgeToTheLeftOf(startPos);
if (isWordLattice) {
// first question: is there a path from the closest translated word to the left
// of the hypothesized extension to the start of the hypothesized extension?
// long version: is there anything to our left? is it farther left than where we're starting anyway? can we get to it?
// closestLeft is exclusive: a value of 3 means 2 is covered, our arc is currently ENDING at 3 and can start at 3 implicitly
if (closestLeft != 0 && closestLeft != startPos && !m_source.CanIGetFromAToB(closestLeft, startPos)) {
continue;
}
if (prevRange.GetStartPos() != NOT_FOUND &&
prevRange.GetStartPos() > startPos && !m_source.CanIGetFromAToB(startPos, prevRange.GetStartPos())) {
continue;
}
}
WordsRange currentStartRange(startPos, startPos);
if(m_source.ComputeDistortionDistance(prevRange, currentStartRange) > maxDistortion)
continue;
for (size_t endPos = startPos ; endPos < startPos + maxSize ; ++endPos) {
// basic checks
WordsRange extRange(startPos, endPos);
// there have to be translation options
if (m_transOptColl.GetTranslationOptionList(extRange).size() == 0 ||
// no overlap with existing words
hypoBitmap.Overlap(extRange) ||
// specified reordering constraints (set with -monotone-at-punctuation or xml)
!m_source.GetReorderingConstraint().Check( hypoBitmap, startPos, endPos ) || //
// connection in input word lattice
(isWordLattice && !m_source.IsCoveragePossible(extRange))) {
continue;
}
// ask second question here:
// we already know we can get to our starting point from the closest thing to the left. We now ask the follow up:
// can we get from our end to the closest thing on the right?
// long version: is anything to our right? is it farther right than our (inclusive) end? can our end reach it?
bool leftMostEdge = (hypoFirstGapPos == startPos);
// closest right definition:
size_t closestRight = hypoBitmap.GetEdgeToTheRightOf(endPos);
if (isWordLattice) {
//if (!leftMostEdge && closestRight != endPos && closestRight != sourceSize && !m_source.CanIGetFromAToB(endPos, closestRight + 1)) {
if (closestRight != endPos && ((closestRight + 1) < sourceSize) && !m_source.CanIGetFromAToB(endPos + 1, closestRight + 1)) {
continue;
}
}
// any length extension is okay if starting at left-most edge
if (leftMostEdge) {
ExpandAllHypotheses(hypothesis, startPos, endPos);
}
// starting somewhere other than left-most edge, use caution
else {
// the basic idea is this: we would like to translate a phrase starting
// from a position further right than the left-most open gap. The
// distortion penalty for the following phrase will be computed relative
// to the ending position of the current extension, so we ask now what
// its maximum value will be (which will always be the value of the
// hypothesis starting at the left-most edge). If this value is less than
// the distortion limit, we don't allow this extension to be made.
WordsRange bestNextExtension(hypoFirstGapPos, hypoFirstGapPos);
int required_distortion =
m_source.ComputeDistortionDistance(extRange, bestNextExtension);
if (required_distortion > maxDistortion) {
continue;
}
// everything is fine, we're good to go
ExpandAllHypotheses(hypothesis, startPos, endPos);
}
}
}
}
/**
* Expand a hypothesis given a list of translation options
* \param hypothesis hypothesis to be expanded upon
* \param startPos first word position of span covered
* \param endPos last word position of span covered
*/
void SearchNormal::ExpandAllHypotheses(const Hypothesis &hypothesis, size_t startPos, size_t endPos)
{
// early discarding: check if hypothesis is too bad to build
// this idea is explained in (Moore&Quirk, MT Summit 2007)
float expectedScore = 0.0f;
if (StaticData::Instance().UseEarlyDiscarding()) {
// expected score is based on score of current hypothesis
expectedScore = hypothesis.GetScore();
// add new future score estimate
expectedScore += m_transOptColl.GetFutureScore().CalcFutureScore( hypothesis.GetWordsBitmap(), startPos, endPos );
}
// loop through all translation options
const TranslationOptionList &transOptList = m_transOptColl.GetTranslationOptionList(WordsRange(startPos, endPos));
TranslationOptionList::const_iterator iter;
for (iter = transOptList.begin() ; iter != transOptList.end() ; ++iter) {
ExpandHypothesis(hypothesis, **iter, expectedScore);
}
}
/**
* Expand one hypothesis with a translation option.
* this involves initial creation, scoring and adding it to the proper stack
* \param hypothesis hypothesis to be expanded upon
* \param transOpt translation option (phrase translation)
* that is applied to create the new hypothesis
* \param expectedScore base score for early discarding
* (base hypothesis score plus future score estimation)
*/
void SearchNormal::ExpandHypothesis(const Hypothesis &hypothesis, const TranslationOption &transOpt, float expectedScore)
{
const StaticData &staticData = StaticData::Instance();
SentenceStats &stats = m_manager.GetSentenceStats();
clock_t t=0; // used to track time for steps
Hypothesis *newHypo;
if (! staticData.UseEarlyDiscarding()) {
// simple build, no questions asked
IFVERBOSE(2) {
t = clock();
}
newHypo = hypothesis.CreateNext(transOpt, m_constraint);
IFVERBOSE(2) {
stats.AddTimeBuildHyp( clock()-t );
}
if (newHypo==NULL) return;
newHypo->Evaluate(m_transOptColl.GetFutureScore());
} else
// early discarding: check if hypothesis is too bad to build
{
// worst possible score may have changed -> recompute
size_t wordsTranslated = hypothesis.GetWordsBitmap().GetNumWordsCovered() + transOpt.GetSize();
float allowedScore = m_hypoStackColl[wordsTranslated]->GetWorstScore();
if (staticData.GetMinHypoStackDiversity()) {
WordsBitmapID id = hypothesis.GetWordsBitmap().GetIDPlus(transOpt.GetStartPos(), transOpt.GetEndPos());
float allowedScoreForBitmap = m_hypoStackColl[wordsTranslated]->GetWorstScoreForBitmap( id );
allowedScore = std::min( allowedScore, allowedScoreForBitmap );
}
allowedScore += staticData.GetEarlyDiscardingThreshold();
// add expected score of translation option
expectedScore += transOpt.GetFutureScore();
// TRACE_ERR("EXPECTED diff: " << (newHypo->GetTotalScore()-expectedScore) << " (pre " << (newHypo->GetTotalScore()-expectedScorePre) << ") " << hypothesis.GetTargetPhrase() << " ... " << transOpt.GetTargetPhrase() << " [" << expectedScorePre << "," << expectedScore << "," << newHypo->GetTotalScore() << "]" << endl);
// check if transOpt score push it already below limit
if (expectedScore < allowedScore) {
IFVERBOSE(2) {
stats.AddNotBuilt();
}
return;
}
// build the hypothesis without scoring
IFVERBOSE(2) {
t = clock();
}
newHypo = hypothesis.CreateNext(transOpt, m_constraint);
if (newHypo==NULL) return;
IFVERBOSE(2) {
stats.AddTimeBuildHyp( clock()-t );
}
// ... and check if that is below the limit
if (expectedScore < allowedScore) {
IFVERBOSE(2) {
stats.AddEarlyDiscarded();
}
FREEHYPO( newHypo );
return;
}
}
// logging for the curious
IFVERBOSE(3) {
newHypo->PrintHypothesis();
}
// add to hypothesis stack
size_t wordsTranslated = newHypo->GetWordsBitmap().GetNumWordsCovered();
IFVERBOSE(2) {
t = clock();
}
m_hypoStackColl[wordsTranslated]->AddPrune(newHypo);
IFVERBOSE(2) {
stats.AddTimeStack( clock()-t );
}
}
const std::vector < HypothesisStack* >& SearchNormal::GetHypothesisStacks() const
{
return m_hypoStackColl;
}
/**
* Find best hypothesis on the last stack.
* This is the end point of the best translation, which can be traced back from here
*/
const Hypothesis *SearchNormal::GetBestHypothesis() const
{
if (interrupted_flag == 0) {
const HypothesisStackNormal &hypoColl = *static_cast<HypothesisStackNormal*>(m_hypoStackColl.back());
return hypoColl.GetBestHypothesis();
} else {
const HypothesisStackNormal &hypoColl = *actual_hypoStack;
return hypoColl.GetBestHypothesis();
}
}
/**
* Logging of hypothesis stack sizes
*/
void SearchNormal::OutputHypoStackSize()
{
std::vector < HypothesisStack* >::const_iterator iterStack = m_hypoStackColl.begin();
TRACE_ERR( "Stack sizes: " << (int)(*iterStack)->size());
for (++iterStack; iterStack != m_hypoStackColl.end() ; ++iterStack) {
TRACE_ERR( ", " << (int)(*iterStack)->size());
}
TRACE_ERR( endl);
}
}