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105 lines
3.2 KiB
C++
105 lines
3.2 KiB
C++
/***********************************************************************
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Moses - factored phrase-based language decoder
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Copyright (C) 2010 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 "MockHypothesis.h"
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#include <boost/test/unit_test.hpp>
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#include "TranslationOption.h"
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using namespace Moses;
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using namespace std;
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namespace MosesTest
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{
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MockHypothesisGuard::MockHypothesisGuard(
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const string& sourceSentence,
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const vector<Alignment>& alignments,
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const vector<string>& targetSegments)
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: m_initialTransOpt(),
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m_sentence(),
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m_wp("WordPenalty"),
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m_uwp("UnknownWordPenalty"),
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m_dist("Distortion"),
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m_manager(0,m_sentence,Normal)
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{
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BOOST_CHECK_EQUAL(alignments.size(), targetSegments.size());
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std::vector<Moses::FactorType> factors;
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factors.push_back(0);
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stringstream in(sourceSentence + "\n");
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m_sentence.Read(in,factors);
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//Initial empty hypothesis
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m_manager.ResetSentenceStats(m_sentence);
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m_hypothesis = Hypothesis::Create(m_manager, m_sentence, m_initialTransOpt);
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//create the chain
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vector<Alignment>::const_iterator ai = alignments.begin();
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vector<string>::const_iterator ti = targetSegments.begin();
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for (; ti != targetSegments.end() && ai != alignments.end(); ++ti,++ai) {
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Hypothesis* prevHypo = m_hypothesis;
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WordsRange wordsRange(ai->first,ai->second);
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m_targetPhrases.push_back(TargetPhrase());
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m_targetPhrases.back().CreateFromString(Input, factors, *ti, "|", NULL);
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m_toptions.push_back(new TranslationOption
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(wordsRange,m_targetPhrases.back()));
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m_hypothesis = Hypothesis::Create(*prevHypo,*m_toptions.back());
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}
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}
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MockHypothesisGuard::~MockHypothesisGuard()
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{
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RemoveAllInColl(m_toptions);
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while (m_hypothesis) {
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Hypothesis* prevHypo = const_cast<Hypothesis*>(m_hypothesis->GetPrevHypo());
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delete m_hypothesis;
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m_hypothesis = prevHypo;
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}
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}
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HypothesisFixture::HypothesisFixture()
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{
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string source = "je ne sais pas . ";
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vector<string> target;
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vector<Alignment> alignments;
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m_empty.reset(new MockHypothesisGuard(source,alignments,target));
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target.push_back("i");
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target.push_back("do not");
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alignments.push_back(Alignment(0,0));
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alignments.push_back(Alignment(3,3));
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m_partial.reset(new MockHypothesisGuard(source,alignments,target));
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target.push_back("know");
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target.push_back(".");
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alignments.push_back(Alignment(1,2));
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alignments.push_back(Alignment(4,4));
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m_full.reset(new MockHypothesisGuard(source,alignments,target));
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}
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}
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