// 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 ***********************************************************************/ #pragma once #include #include "Util.h" #include "WordsRange.h" #include "ScoreComponentCollection.h" #include "Phrase.h" #include "ChartTranslationOptions.h" #include "ObjectPool.h" namespace Moses { class ChartKBestExtractor; class ChartHypothesis; class ChartManager; class RuleCubeItem; class FFState; typedef std::vector ChartArcList; /** a hypothesis in the hierarchical/syntax decoder. * Contain a pointer to the current target phrase, a vector of previous hypos, and some scores */ class ChartHypothesis { friend std::ostream& operator<<(std::ostream&, const ChartHypothesis&); friend class ChartKBestExtractor; protected: #ifdef USE_HYPO_POOL static ObjectPool s_objectPool; #endif boost::shared_ptr m_transOpt; WordsRange m_currSourceWordsRange; std::vector m_ffStates; /*! stateful feature function states */ ScoreComponentCollection m_scoreBreakdown /*! detailed score break-down by components (for instance language model, word penalty, etc) */ ,m_lmNGram ,m_lmPrefix; float m_totalScore; ChartArcList *m_arcList; /*! all arcs that end at the same trellis point as this hypothesis */ const ChartHypothesis *m_winningHypo; std::vector m_prevHypos; // always sorted by source position? ChartManager& m_manager; unsigned m_id; /* pkoehn wants to log the order in which hypotheses were generated */ //! not implemented ChartHypothesis(); //! not implemented ChartHypothesis(const ChartHypothesis ©); //! only used by ChartKBestExtractor ChartHypothesis(const ChartHypothesis &, const ChartKBestExtractor &); public: #ifdef USE_HYPO_POOL void *operator new(size_t /* num_bytes */) { void *ptr = s_objectPool.getPtr(); return ptr; } //! delete \param hypo. Works with object pool too static void Delete(ChartHypothesis *hypo) { s_objectPool.freeObject(hypo); } #else //! delete \param hypo. Works with object pool too static void Delete(ChartHypothesis *hypo) { delete hypo; } #endif ChartHypothesis(const ChartTranslationOptions &, const RuleCubeItem &item, ChartManager &manager); ~ChartHypothesis(); unsigned GetId() const { return m_id; } const ChartTranslationOption &GetTranslationOption()const { return *m_transOpt; } //! Get the rule that created this hypothesis const TargetPhrase &GetCurrTargetPhrase()const { return m_transOpt->GetPhrase(); } //! the source range that this hypothesis spans const WordsRange &GetCurrSourceRange()const { return m_currSourceWordsRange; } //! the arc list when creating n-best lists inline const ChartArcList* GetArcList() const { return m_arcList; } //! the feature function states for a particular feature \param featureID inline const FFState* GetFFState( size_t featureID ) const { return m_ffStates[ featureID ]; } //! reference back to the manager inline const ChartManager& GetManager() const { return m_manager; } void GetOutputPhrase(Phrase &outPhrase) const; Phrase GetOutputPhrase() const; // get leftmost/rightmost words only // leftRightMost: 1=left, 2=right void GetOutputPhrase(int leftRightMost, int numWords, Phrase &outPhrase) const; int RecombineCompare(const ChartHypothesis &compare) const; void EvaluateWhenApplied(); void AddArc(ChartHypothesis *loserHypo); void CleanupArcList(); void SetWinningHypo(const ChartHypothesis *hypo); //! get the unweighted score for each feature function const ScoreComponentCollection &GetScoreBreakdown() const { return m_scoreBreakdown; } //! Get the weighted total score float GetTotalScore() const { return m_totalScore; } //! vector of previous hypotheses this hypo is built on const std::vector &GetPrevHypos() const { return m_prevHypos; } //! get a particular previous hypos const ChartHypothesis* GetPrevHypo(size_t pos) const { return m_prevHypos[pos]; } //! get the constituency label that covers this hypo const Word &GetTargetLHS() const { return GetCurrTargetPhrase().GetTargetLHS(); } //! get the best hypo in the arc list when doing n-best list creation. It's either this hypothesis, or the best hypo is this hypo is in the arc list const ChartHypothesis* GetWinningHypothesis() const { return m_winningHypo; } TO_STRING(); }; // class ChartHypothesis }