/*********************************************************************** Moses - statistical machine translation system Copyright (C) 2006-2011 University of Edinburgh 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 "ChartCell.h" #include "ChartCellCollection.h" #include "ChartTranslationOptions.h" #include "RuleCubeItem.h" #include "RuleCubeQueue.h" #include "WordsRange.h" #include "Util.h" #include namespace Moses { std::size_t hash_value(const HypothesisDimension &dimension) { boost::hash hasher; return hasher(dimension.GetHypothesis()); } RuleCubeItem::RuleCubeItem(const ChartTranslationOptions &transOpt, const ChartCellCollection &/*allChartCells*/) : m_translationDimension(0, transOpt.GetTargetPhraseCollection().GetCollection()) , m_hypothesis(0) { CreateHypothesisDimensions(transOpt.GetStackVec()); } // create the RuleCube from an existing one, differing only in one dimension RuleCubeItem::RuleCubeItem(const RuleCubeItem ©, int hypoDimensionIncr) : m_translationDimension(copy.m_translationDimension) , m_hypothesisDimensions(copy.m_hypothesisDimensions) , m_hypothesis(0) { if (hypoDimensionIncr == -1) { m_translationDimension.IncrementPos(); } else { HypothesisDimension &dimension = m_hypothesisDimensions[hypoDimensionIncr]; dimension.IncrementPos(); } } RuleCubeItem::~RuleCubeItem() { delete m_hypothesis; } void RuleCubeItem::EstimateScore() { m_score = m_translationDimension.GetTargetPhrase()->GetFutureScore(); std::vector::const_iterator p; for (p = m_hypothesisDimensions.begin(); p != m_hypothesisDimensions.end(); ++p) { m_score += p->GetHypothesis()->GetTotalScore(); } } void RuleCubeItem::CreateHypothesis(const ChartTranslationOptions &transOpt, ChartManager &manager) { m_hypothesis = new ChartHypothesis(transOpt, *this, manager); m_hypothesis->CalcScore(); m_score = m_hypothesis->GetTotalScore(); } ChartHypothesis *RuleCubeItem::ReleaseHypothesis() { CHECK(m_hypothesis); ChartHypothesis *hypo = m_hypothesis; m_hypothesis = 0; return hypo; } // for each non-terminal, create a ordered list of matching hypothesis from the // chart void RuleCubeItem::CreateHypothesisDimensions(const StackVec &stackVec) { for (StackVec::const_iterator p = stackVec.begin(); p != stackVec.end(); ++p) { const HypoList *stack = (*p)->GetStack().cube; assert(stack); // there have to be hypothesis with the desired non-terminal // (otherwise the rule would not be considered) assert(!stack->empty()); // create a list of hypotheses that match the non-terminal HypothesisDimension dimension(0, *stack); // add them to the vector for such lists m_hypothesisDimensions.push_back(dimension); } } bool RuleCubeItem::operator<(const RuleCubeItem &compare) const { if (m_translationDimension == compare.m_translationDimension) { return m_hypothesisDimensions < compare.m_hypothesisDimensions; } return m_translationDimension < compare.m_translationDimension; } }