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487 lines
13 KiB
C++
487 lines
13 KiB
C++
// $Id$
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// vim:tabstop=2
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/***********************************************************************
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Moses - factored phrase-based language decoder
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Copyright (C) 2006 University of Edinburgh
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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***********************************************************************/
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#include <algorithm>
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#include <limits>
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#include <utility>
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#include "BitmapContainer.h"
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#include "HypothesisStackCubePruning.h"
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#include "moses/FF/DistortionScoreProducer.h"
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#include "TranslationOptionList.h"
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#include "Manager.h"
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namespace Moses
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{
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class HypothesisScoreOrdererNoDistortion
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{
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public:
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bool operator()(const Hypothesis* hypoA, const Hypothesis* hypoB) const {
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const float scoreA = hypoA->GetScore();
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const float scoreB = hypoB->GetScore();
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if (scoreA > scoreB) {
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return true;
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} else if (scoreA < scoreB) {
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return false;
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} else {
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return hypoA < hypoB;
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}
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}
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};
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class HypothesisScoreOrdererWithDistortion
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{
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public:
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HypothesisScoreOrdererWithDistortion(const WordsRange* transOptRange) :
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m_transOptRange(transOptRange) {
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m_totalWeightDistortion = 0;
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const StaticData &staticData = StaticData::Instance();
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const std::vector<FeatureFunction*> &ffs = FeatureFunction::GetFeatureFunctions();
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std::vector<FeatureFunction*>::const_iterator iter;
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for (iter = ffs.begin(); iter != ffs.end(); ++iter) {
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const FeatureFunction *ff = *iter;
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const DistortionScoreProducer *model = dynamic_cast<const DistortionScoreProducer*>(ff);
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if (model) {
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float weight =staticData.GetAllWeights().GetScoreForProducer(model);
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m_totalWeightDistortion += weight;
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}
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}
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}
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const WordsRange* m_transOptRange;
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float m_totalWeightDistortion;
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bool operator()(const Hypothesis* hypoA, const Hypothesis* hypoB) const {
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UTIL_THROW_IF2(m_transOptRange == NULL, "Words range not set");
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const float distortionScoreA = DistortionScoreProducer::CalculateDistortionScore(
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*hypoA,
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hypoA->GetCurrSourceWordsRange(),
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*m_transOptRange,
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hypoA->GetWordsBitmap().GetFirstGapPos()
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);
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const float distortionScoreB = DistortionScoreProducer::CalculateDistortionScore(
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*hypoB,
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hypoB->GetCurrSourceWordsRange(),
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*m_transOptRange,
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hypoB->GetWordsBitmap().GetFirstGapPos()
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);
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const float scoreA = hypoA->GetScore() + distortionScoreA * m_totalWeightDistortion;
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const float scoreB = hypoB->GetScore() + distortionScoreB * m_totalWeightDistortion;
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if (scoreA > scoreB) {
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return true;
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} else if (scoreA < scoreB) {
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return false;
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} else {
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return hypoA < hypoB;
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}
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}
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};
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////////////////////////////////////////////////////////////////////////////////
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// BackwardsEdge Code
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////////////////////////////////////////////////////////////////////////////////
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BackwardsEdge::BackwardsEdge(const BitmapContainer &prevBitmapContainer
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, BitmapContainer &parent
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, const TranslationOptionList &translations
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, const SquareMatrix &futureScore,
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const InputType& itype)
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: m_initialized(false)
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, m_prevBitmapContainer(prevBitmapContainer)
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, m_parent(parent)
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, m_translations(translations)
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, m_futurescore(futureScore)
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, m_seenPosition()
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{
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// If either dimension is empty, we haven't got anything to do.
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if(m_prevBitmapContainer.GetHypotheses().size() == 0 || m_translations.size() == 0) {
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VERBOSE(3, "Empty cube on BackwardsEdge" << std::endl);
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return;
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}
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// Fetch the things we need for distortion cost computation.
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int maxDistortion = StaticData::Instance().GetMaxDistortion();
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if (maxDistortion == -1) {
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for (HypothesisSet::const_iterator iter = m_prevBitmapContainer.GetHypotheses().begin(); iter != m_prevBitmapContainer.GetHypotheses().end(); ++iter) {
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m_hypotheses.push_back(*iter);
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}
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return;
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}
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const WordsRange &transOptRange = translations.Get(0)->GetSourceWordsRange();
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HypothesisSet::const_iterator iterHypo = m_prevBitmapContainer.GetHypotheses().begin();
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HypothesisSet::const_iterator iterEnd = m_prevBitmapContainer.GetHypotheses().end();
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while (iterHypo != iterEnd) {
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const Hypothesis &hypo = **iterHypo;
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// Special case: If this is the first hypothesis used to seed the search,
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// it doesn't have a valid range, and we create the hypothesis, if the
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// initial position is not further into the sentence than the distortion limit.
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if (hypo.GetWordsBitmap().GetNumWordsCovered() == 0) {
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if ((int)transOptRange.GetStartPos() <= maxDistortion)
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m_hypotheses.push_back(&hypo);
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} else {
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int distortionDistance = itype.ComputeDistortionDistance(hypo.GetCurrSourceWordsRange()
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, transOptRange);
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if (distortionDistance <= maxDistortion)
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m_hypotheses.push_back(&hypo);
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}
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++iterHypo;
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}
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if (m_translations.size() > 1) {
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UTIL_THROW_IF2(m_translations.Get(0)->GetFutureScore() < m_translations.Get(1)->GetFutureScore(),
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"Non-monotonic future score: "
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<< m_translations.Get(0)->GetFutureScore() << " vs. "
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<< m_translations.Get(1)->GetFutureScore());
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}
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if (m_hypotheses.size() > 1) {
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UTIL_THROW_IF2(m_hypotheses[0]->GetTotalScore() < m_hypotheses[1]->GetTotalScore(),
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"Non-monotonic total score"
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<< m_hypotheses[0]->GetTotalScore() << " vs. "
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<< m_hypotheses[1]->GetTotalScore());
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}
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HypothesisScoreOrdererWithDistortion orderer (&transOptRange);
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std::sort(m_hypotheses.begin(), m_hypotheses.end(), orderer);
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// std::sort(m_hypotheses.begin(), m_hypotheses.end(), HypothesisScoreOrdererNoDistortion());
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}
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BackwardsEdge::~BackwardsEdge()
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{
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m_seenPosition.clear();
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m_hypotheses.clear();
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}
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void
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BackwardsEdge::Initialize()
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{
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if(m_hypotheses.size() == 0 || m_translations.size() == 0) {
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m_initialized = true;
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return;
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}
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Hypothesis *expanded = CreateHypothesis(*m_hypotheses[0], *m_translations.Get(0));
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m_parent.Enqueue(0, 0, expanded, this);
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SetSeenPosition(0, 0);
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m_initialized = true;
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}
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Hypothesis *BackwardsEdge::CreateHypothesis(const Hypothesis &hypothesis, const TranslationOption &transOpt)
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{
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// create hypothesis and calculate all its scores
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IFVERBOSE(2) {
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hypothesis.GetManager().GetSentenceStats().StartTimeBuildHyp();
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}
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Hypothesis *newHypo = hypothesis.CreateNext(transOpt); // TODO FIXME This is absolutely broken - don't pass null here
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IFVERBOSE(2) {
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hypothesis.GetManager().GetSentenceStats().StopTimeBuildHyp();
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}
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newHypo->EvaluateWhenApplied(m_futurescore);
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return newHypo;
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}
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bool
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BackwardsEdge::SeenPosition(const size_t x, const size_t y)
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{
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std::set< int >::iterator iter = m_seenPosition.find((x<<16) + y);
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return (iter != m_seenPosition.end());
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}
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void
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BackwardsEdge::SetSeenPosition(const size_t x, const size_t y)
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{
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UTIL_THROW_IF2(x >= (1<<17), "Error");
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UTIL_THROW_IF2(y >= (1<<17), "Error");
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m_seenPosition.insert((x<<16) + y);
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}
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bool
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BackwardsEdge::GetInitialized()
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{
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return m_initialized;
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}
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const BitmapContainer&
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BackwardsEdge::GetBitmapContainer() const
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{
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return m_prevBitmapContainer;
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}
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void
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BackwardsEdge::PushSuccessors(const size_t x, const size_t y)
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{
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Hypothesis *newHypo;
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if(y + 1 < m_translations.size() && !SeenPosition(x, y + 1)) {
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SetSeenPosition(x, y + 1);
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newHypo = CreateHypothesis(*m_hypotheses[x], *m_translations.Get(y + 1));
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if(newHypo != NULL) {
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m_parent.Enqueue(x, y + 1, newHypo, (BackwardsEdge*)this);
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}
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}
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if(x + 1 < m_hypotheses.size() && !SeenPosition(x + 1, y)) {
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SetSeenPosition(x + 1, y);
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newHypo = CreateHypothesis(*m_hypotheses[x + 1], *m_translations.Get(y));
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if(newHypo != NULL) {
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m_parent.Enqueue(x + 1, y, newHypo, (BackwardsEdge*)this);
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}
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}
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}
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////////////////////////////////////////////////////////////////////////////////
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// BitmapContainer Code
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////////////////////////////////////////////////////////////////////////////////
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BitmapContainer::BitmapContainer(const WordsBitmap &bitmap
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, HypothesisStackCubePruning &stack)
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: m_bitmap(bitmap)
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, m_stack(stack)
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, m_numStackInsertions(0)
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{
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m_hypotheses = HypothesisSet();
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m_edges = BackwardsEdgeSet();
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m_queue = HypothesisQueue();
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}
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BitmapContainer::~BitmapContainer()
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{
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// As we have created the square position objects we clean up now.
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while (!m_queue.empty()) {
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HypothesisQueueItem *item = m_queue.top();
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m_queue.pop();
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FREEHYPO( item->GetHypothesis() );
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delete item;
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}
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// Delete all edges.
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RemoveAllInColl(m_edges);
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m_hypotheses.clear();
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m_edges.clear();
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}
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void
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BitmapContainer::Enqueue(int hypothesis_pos
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, int translation_pos
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, Hypothesis *hypothesis
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, BackwardsEdge *edge)
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{
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HypothesisQueueItem *item = new HypothesisQueueItem(hypothesis_pos
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, translation_pos
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, hypothesis
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, edge);
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IFVERBOSE(2) {
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item->GetHypothesis()->GetManager().GetSentenceStats().StartTimeManageCubes();
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}
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m_queue.push(item);
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IFVERBOSE(2) {
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item->GetHypothesis()->GetManager().GetSentenceStats().StopTimeManageCubes();
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}
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}
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HypothesisQueueItem*
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BitmapContainer::Dequeue(bool keepValue)
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{
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if (!m_queue.empty()) {
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HypothesisQueueItem *item = m_queue.top();
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if (!keepValue) {
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m_queue.pop();
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}
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return item;
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}
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return NULL;
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}
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HypothesisQueueItem*
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BitmapContainer::Top() const
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{
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return m_queue.top();
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}
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size_t
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BitmapContainer::Size()
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{
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return m_queue.size();
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}
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bool
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BitmapContainer::Empty() const
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{
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return m_queue.empty();
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}
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const WordsBitmap&
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BitmapContainer::GetWordsBitmap()
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{
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return m_bitmap;
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}
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const HypothesisSet&
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BitmapContainer::GetHypotheses() const
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{
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return m_hypotheses;
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}
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size_t
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BitmapContainer::GetHypothesesSize() const
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{
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return m_hypotheses.size();
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}
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const BackwardsEdgeSet&
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BitmapContainer::GetBackwardsEdges()
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{
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return m_edges;
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}
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void
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BitmapContainer::AddHypothesis(Hypothesis *hypothesis)
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{
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bool itemExists = false;
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HypothesisSet::const_iterator iter = m_hypotheses.begin();
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HypothesisSet::const_iterator iterEnd = m_hypotheses.end();
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// cfedermann: do we actually need this check?
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while (iter != iterEnd) {
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if (*iter == hypothesis) {
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itemExists = true;
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break;
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}
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++iter;
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}
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UTIL_THROW_IF2(itemExists, "Duplicate hypotheses");
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m_hypotheses.push_back(hypothesis);
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}
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void
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BitmapContainer::AddBackwardsEdge(BackwardsEdge *edge)
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{
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m_edges.insert(edge);
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}
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void
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BitmapContainer::InitializeEdges()
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{
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BackwardsEdgeSet::iterator iter = m_edges.begin();
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BackwardsEdgeSet::iterator iterEnd = m_edges.end();
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while (iter != iterEnd) {
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BackwardsEdge *edge = *iter;
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edge->Initialize();
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++iter;
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}
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}
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void
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BitmapContainer::EnsureMinStackHyps(const size_t minNumHyps)
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{
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while ((!Empty()) && m_numStackInsertions < minNumHyps) {
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ProcessBestHypothesis();
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}
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}
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void
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BitmapContainer::ProcessBestHypothesis()
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{
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if (m_queue.empty()) {
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return;
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}
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// Get the currently best hypothesis from the queue.
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HypothesisQueueItem *item = Dequeue();
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// If the priority queue is exhausted, we are done and should have exited
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UTIL_THROW_IF2(item == NULL, "Null object");
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// check we are pulling things off of priority queue in right order
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if (!Empty()) {
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HypothesisQueueItem *check = Dequeue(true);
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UTIL_THROW_IF2(item->GetHypothesis()->GetTotalScore() < check->GetHypothesis()->GetTotalScore(),
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"Non-monotonic total score: "
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<< item->GetHypothesis()->GetTotalScore() << " vs. "
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<< check->GetHypothesis()->GetTotalScore());
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}
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// Logging for the criminally insane
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IFVERBOSE(3) {
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item->GetHypothesis()->PrintHypothesis();
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}
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// Add best hypothesis to hypothesis stack.
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const bool newstackentry = m_stack.AddPrune(item->GetHypothesis());
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if (newstackentry)
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m_numStackInsertions++;
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IFVERBOSE(3) {
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TRACE_ERR("new stack entry flag is " << newstackentry << std::endl);
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}
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// Create new hypotheses for the two successors of the hypothesis just added.
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item->GetBackwardsEdge()->PushSuccessors(item->GetHypothesisPos(), item->GetTranslationPos());
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// We are done with the queue item, we delete it.
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delete item;
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}
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void
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BitmapContainer::SortHypotheses()
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{
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std::sort(m_hypotheses.begin(), m_hypotheses.end(), HypothesisScoreOrderer());
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}
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}
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