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+// $Id: TranslationOption.cpp 2282 2009-04-15 11:04:27Z hieuhoang1972 $
+// vim:tabstop=2
+
+/***********************************************************************
+Moses - factored phrase-based language decoder
+Copyright (C) 2006 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 "TranslationOption.h"
+#include "WordsBitmap.h"
+#include "PhraseDictionaryMemory.h"
+#include "GenerationDictionary.h"
+#include "LMList.h"
+#include "StaticData.h"
+#include "InputType.h"
+#include "DummyScoreProducers.h"
+
+using namespace std;
+
+namespace Moses
+{
+//TODO this should be a factory function!
+TranslationOption::TranslationOption(const WordsRange &wordsRange
+ , const TargetPhrase &targetPhrase
+ , const InputType &inputType)
+: m_targetPhrase(targetPhrase)
+, m_sourceWordsRange(wordsRange)
+{
+ // set score
+ m_scoreBreakdown.PlusEquals(targetPhrase.GetScoreBreakdown());
+
+ if (inputType.GetType() == SentenceInput)
+ {
+ Phrase phrase = inputType.GetSubString(wordsRange);
+ m_sourcePhrase = new Phrase(phrase);
+ }
+ else
+ { // TODO lex reordering with confusion network
+ m_sourcePhrase = new Phrase(*targetPhrase.GetSourcePhrase());
+ }
+}
+
+//TODO this should be a factory function!
+TranslationOption::TranslationOption(const WordsRange &wordsRange
+ , const TargetPhrase &targetPhrase
+ , const InputType &inputType
+ , int /*whatever*/)
+: m_targetPhrase(targetPhrase)
+, m_sourceWordsRange (wordsRange)
+, m_futureScore(0)
+{
+ const UnknownWordPenaltyProducer *up = StaticData::Instance().GetUnknownWordPenaltyProducer();
+ assert(up);
+ vector<float> score(1);
+ score[0] = FloorScore(-numeric_limits<float>::infinity());
+ m_scoreBreakdown.Assign(up, score);
+
+ if (inputType.GetType() == SentenceInput)
+ {
+ Phrase phrase = inputType.GetSubString(wordsRange);
+ m_sourcePhrase = new Phrase(phrase);
+ }
+ else
+ { // TODO lex reordering with confusion network
+ m_sourcePhrase = new Phrase(*targetPhrase.GetSourcePhrase());
+ }
+}
+
+TranslationOption::TranslationOption(const TranslationOption &copy)
+: m_targetPhrase(copy.m_targetPhrase)
+//, m_sourcePhrase(new Phrase(*copy.m_sourcePhrase)) // TODO use when confusion network trans opt for confusion net properly implemented
+, m_sourcePhrase( (copy.m_sourcePhrase == NULL) ? new Phrase(Input) : new Phrase(*copy.m_sourcePhrase))
+, m_sourceWordsRange(copy.m_sourceWordsRange)
+, m_futureScore(copy.m_futureScore)
+, m_scoreBreakdown(copy.m_scoreBreakdown)
+, m_reordering(copy.m_reordering)
+{}
+
+TranslationOption::TranslationOption(const TranslationOption &copy, const WordsRange &sourceWordsRange)
+: m_targetPhrase(copy.m_targetPhrase)
+//, m_sourcePhrase(new Phrase(*copy.m_sourcePhrase)) // TODO use when confusion network trans opt for confusion net properly implemented
+, m_sourcePhrase( (copy.m_sourcePhrase == NULL) ? new Phrase(Input) : new Phrase(*copy.m_sourcePhrase))
+, m_sourceWordsRange(sourceWordsRange)
+, m_futureScore(copy.m_futureScore)
+, m_scoreBreakdown(copy.m_scoreBreakdown)
+, m_reordering(copy.m_reordering)
+{}
+
+void TranslationOption::MergeNewFeatures(const Phrase& phrase, const ScoreComponentCollection& score, const std::vector<FactorType>& featuresToAdd)
+{
+ assert(phrase.GetSize() == m_targetPhrase.GetSize());
+ if (featuresToAdd.size() == 1) {
+ m_targetPhrase.MergeFactors(phrase, featuresToAdd[0]);
+ } else if (featuresToAdd.empty()) {
+ /* features already there, just update score */
+ } else {
+ m_targetPhrase.MergeFactors(phrase, featuresToAdd);
+ }
+ m_scoreBreakdown.PlusEquals(score);
+}
+
+bool TranslationOption::IsCompatible(const Phrase& phrase, const std::vector<FactorType>& featuresToCheck) const
+{
+ if (featuresToCheck.size() == 1) {
+ return m_targetPhrase.IsCompatible(phrase, featuresToCheck[0]);
+ } else if (featuresToCheck.empty()) {
+ return true;
+ /* features already there, just update score */
+ } else {
+ return m_targetPhrase.IsCompatible(phrase, featuresToCheck);
+ }
+}
+
+bool TranslationOption::Overlap(const Hypothesis &hypothesis) const
+{
+ const WordsBitmap &bitmap = hypothesis.GetWordsBitmap();
+ return bitmap.Overlap(GetSourceWordsRange());
+}
+
+void TranslationOption::CalcScore()
+{
+ // LM scores
+ float ngramScore = 0;
+ float retFullScore = 0;
+
+ const LMList &allLM = StaticData::Instance().GetAllLM();
+
+ allLM.CalcScore(GetTargetPhrase(), retFullScore, ngramScore, m_scoreBreakdown, NULL, true);
+
+ size_t phraseSize = GetTargetPhrase().GetSize();
+ // future score
+ m_futureScore = retFullScore - ngramScore
+ + m_scoreBreakdown.InnerProduct(StaticData::Instance().GetAllWeights()) - phraseSize * StaticData::Instance().GetWeightWordPenalty();
+}
+
+TO_STRING_BODY(TranslationOption);
+
+// friend
+ostream& operator<<(ostream& out, const TranslationOption& possibleTranslation)
+{
+ out << possibleTranslation.GetTargetPhrase()
+ << "c=" << possibleTranslation.GetFutureScore()
+ << " [" << possibleTranslation.GetSourceWordsRange() << "]"
+ << possibleTranslation.GetScoreBreakdown();
+ return out;
+}
+
+void TranslationOption::CacheReorderingProb(const LexicalReordering &lexreordering
+ , const Score &score)
+{
+ m_reordering.Assign(&lexreordering, score);
+}
+
+}
+
+