// vim:tabstop=2 /*********************************************************************** Moses - factored phrase-based language decoder Copyright (C) 2010 Hieu Hoang This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA ***********************************************************************/ #include #include #include "ChartHypothesis.h" #include "RuleCubeItem.h" #include "ChartCell.h" #include "ChartManager.h" #include "TargetPhrase.h" #include "Phrase.h" #include "StaticData.h" #include "ChartTranslationOptions.h" #include "moses/FF/FFState.h" #include "moses/FF/StatefulFeatureFunction.h" #include "moses/FF/StatelessFeatureFunction.h" using namespace std; namespace Moses { #ifdef USE_HYPO_POOL ObjectPool ChartHypothesis::s_objectPool("ChartHypothesis", 300000); #endif /** Create a hypothesis from a rule * \param transOpt wrapper around the rule * \param item @todo dunno * \param manager reference back to manager */ ChartHypothesis::ChartHypothesis(const ChartTranslationOptions &transOpt, const RuleCubeItem &item, ChartManager &manager) :m_transOpt(item.GetTranslationDimension().GetTranslationOption()) ,m_currSourceWordsRange(transOpt.GetSourceWordsRange()) ,m_ffStates(StatefulFeatureFunction::GetStatefulFeatureFunctions().size()) ,m_arcList(NULL) ,m_winningHypo(NULL) ,m_manager(manager) ,m_id(manager.GetNextHypoId()) { // underlying hypotheses for sub-spans const std::vector &childEntries = item.GetHypothesisDimensions(); m_prevHypos.reserve(childEntries.size()); std::vector::const_iterator iter; for (iter = childEntries.begin(); iter != childEntries.end(); ++iter) { m_prevHypos.push_back(iter->GetHypothesis()); } } ChartHypothesis::~ChartHypothesis() { // delete feature function states for (unsigned i = 0; i < m_ffStates.size(); ++i) { delete m_ffStates[i]; } // delete hypotheses that are not in the chart (recombined away) if (m_arcList) { ChartArcList::iterator iter; for (iter = m_arcList->begin() ; iter != m_arcList->end() ; ++iter) { ChartHypothesis *hypo = *iter; Delete(hypo); } m_arcList->clear(); delete m_arcList; } } /** Create full output phrase that is contained in the hypothesis (and its children) * \param outPhrase full output phrase as return argument */ void ChartHypothesis::GetOutputPhrase(Phrase &outPhrase) const { FactorType placeholderFactor = StaticData::Instance().GetPlaceholderFactor(); for (size_t pos = 0; pos < GetCurrTargetPhrase().GetSize(); ++pos) { const Word &word = GetCurrTargetPhrase().GetWord(pos); if (word.IsNonTerminal()) { // non-term. fill out with prev hypo size_t nonTermInd = GetCurrTargetPhrase().GetAlignNonTerm().GetNonTermIndexMap()[pos]; const ChartHypothesis *prevHypo = m_prevHypos[nonTermInd]; prevHypo->GetOutputPhrase(outPhrase); } else { outPhrase.AddWord(word); if (placeholderFactor != NOT_FOUND) { std::set sourcePosSet = GetCurrTargetPhrase().GetAlignTerm().GetAlignmentsForTarget(pos); if (sourcePosSet.size() == 1) { const std::vector *ruleSourceFromInputPath = GetTranslationOption().GetSourceRuleFromInputPath(); UTIL_THROW_IF2(ruleSourceFromInputPath == NULL, "No source rule"); size_t sourcePos = *sourcePosSet.begin(); const Word *sourceWord = ruleSourceFromInputPath->at(sourcePos); UTIL_THROW_IF2(sourceWord == NULL, "No source word"); const Factor *factor = sourceWord->GetFactor(placeholderFactor); if (factor) { outPhrase.Back()[0] = factor; } } } } } } /** Return full output phrase */ Phrase ChartHypothesis::GetOutputPhrase() const { Phrase outPhrase(ARRAY_SIZE_INCR); GetOutputPhrase(outPhrase); return outPhrase; } /** check, if two hypothesis can be recombined. this is actually a sorting function that allows us to keep an ordered list of hypotheses. This makes recombination much quicker. Returns one of 3 possible values: -1 = this < compare +1 = this > compare 0 = this ==compare \param compare the other hypo to compare to */ int ChartHypothesis::RecombineCompare(const ChartHypothesis &compare) const { int comp = 0; for (unsigned i = 0; i < m_ffStates.size(); ++i) { if (m_ffStates[i] == NULL || compare.m_ffStates[i] == NULL) comp = m_ffStates[i] - compare.m_ffStates[i]; else comp = m_ffStates[i]->Compare(*compare.m_ffStates[i]); if (comp != 0) return comp; } return 0; } /** calculate total score * @todo this should be in ScoreBreakdown */ void ChartHypothesis::Evaluate() { const StaticData &staticData = StaticData::Instance(); // total scores from prev hypos std::vector::iterator iter; for (iter = m_prevHypos.begin(); iter != m_prevHypos.end(); ++iter) { const ChartHypothesis &prevHypo = **iter; const ScoreComponentCollection &scoreBreakdown = prevHypo.GetScoreBreakdown(); m_scoreBreakdown.PlusEquals(scoreBreakdown); } // scores from current translation rule. eg. translation models & word penalty const ScoreComponentCollection &scoreBreakdown = GetTranslationOption().GetScores(); m_scoreBreakdown.PlusEquals(scoreBreakdown); // compute values of stateless feature functions that were not // cached in the translation option-- there is no principled distinction const std::vector& sfs = StatelessFeatureFunction::GetStatelessFeatureFunctions(); for (unsigned i = 0; i < sfs.size(); ++i) { if (! staticData.IsFeatureFunctionIgnored( *sfs[i] )) { sfs[i]->EvaluateChart(*this,&m_scoreBreakdown); } } const std::vector& ffs = StatefulFeatureFunction::GetStatefulFeatureFunctions(); for (unsigned i = 0; i < ffs.size(); ++i) { if (! staticData.IsFeatureFunctionIgnored( *ffs[i] )) { m_ffStates[i] = ffs[i]->EvaluateChart(*this,i,&m_scoreBreakdown); } } m_totalScore = m_scoreBreakdown.GetWeightedScore(); } void ChartHypothesis::AddArc(ChartHypothesis *loserHypo) { if (!m_arcList) { if (loserHypo->m_arcList) { // we don't have an arcList, but loser does this->m_arcList = loserHypo->m_arcList; // take ownership, we'll delete loserHypo->m_arcList = 0; // prevent a double deletion } else { this->m_arcList = new ChartArcList(); } } else { if (loserHypo->m_arcList) { // both have an arc list: merge. delete loser size_t my_size = m_arcList->size(); size_t add_size = loserHypo->m_arcList->size(); this->m_arcList->resize(my_size + add_size, 0); std::memcpy(&(*m_arcList)[0] + my_size, &(*loserHypo->m_arcList)[0], add_size * sizeof(ChartHypothesis *)); delete loserHypo->m_arcList; loserHypo->m_arcList = 0; } else { // loserHypo doesn't have any arcs // DO NOTHING } } m_arcList->push_back(loserHypo); } // sorting helper struct CompareChartChartHypothesisTotalScore { bool operator()(const ChartHypothesis* hypo1, const ChartHypothesis* hypo2) const { return hypo1->GetTotalScore() > hypo2->GetTotalScore(); } }; void ChartHypothesis::CleanupArcList() { // point this hypo's main hypo to itself m_winningHypo = this; if (!m_arcList) return; /* keep only number of arcs we need to create all n-best paths. * However, may not be enough if only unique candidates are needed, * so we'll keep all of arc list if nedd distinct n-best list */ const StaticData &staticData = StaticData::Instance(); size_t nBestSize = staticData.GetNBestSize(); bool distinctNBest = staticData.GetDistinctNBest() || staticData.UseMBR() || staticData.GetOutputSearchGraph(); if (!distinctNBest && m_arcList->size() > nBestSize) { // prune arc list only if there too many arcs NTH_ELEMENT4(m_arcList->begin() , m_arcList->begin() + nBestSize - 1 , m_arcList->end() , CompareChartChartHypothesisTotalScore()); // delete bad ones ChartArcList::iterator iter; for (iter = m_arcList->begin() + nBestSize ; iter != m_arcList->end() ; ++iter) { ChartHypothesis *arc = *iter; ChartHypothesis::Delete(arc); } m_arcList->erase(m_arcList->begin() + nBestSize , m_arcList->end()); } // set all arc's main hypo variable to this hypo ChartArcList::iterator iter = m_arcList->begin(); for (; iter != m_arcList->end() ; ++iter) { ChartHypothesis *arc = *iter; arc->SetWinningHypo(this); } //cerr << m_arcList->size() << " "; } void ChartHypothesis::SetWinningHypo(const ChartHypothesis *hypo) { m_winningHypo = hypo; } TO_STRING_BODY(ChartHypothesis) // friend std::ostream& operator<<(std::ostream& out, const ChartHypothesis& hypo) { out << hypo.GetId(); // recombination if (hypo.GetWinningHypothesis() != NULL && hypo.GetWinningHypothesis() != &hypo) { out << "->" << hypo.GetWinningHypothesis()->GetId(); } if (StaticData::Instance().GetIncludeLHSInSearchGraph()) { out << " " << hypo.GetTargetLHS() << "=>"; } out << " " << hypo.GetCurrTargetPhrase() //<< " " << outPhrase << " " << hypo.GetCurrSourceRange(); HypoList::const_iterator iter; for (iter = hypo.GetPrevHypos().begin(); iter != hypo.GetPrevHypos().end(); ++iter) { const ChartHypothesis &prevHypo = **iter; out << " " << prevHypo.GetId(); } out << " [total=" << hypo.GetTotalScore() << "]"; out << " " << hypo.GetScoreBreakdown(); //out << endl; return out; } }