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port PhraseDictionaryMultiModelCounts to new format. Runs but doesn't pass regression test

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This commit is contained in:
Hieu Hoang 2013-05-15 15:52:08 +01:00
parent b2488f83c3
commit 3876c47d1d
1 changed files with 3 additions and 23 deletions
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26
moses/TranslationModel/PhraseDictionaryMultiModelCounts.cpp
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@ -26,7 +26,7 @@ Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
using namespace std;
template<typename T>
void outVec(const vector<T> &vec)
void OutputVec(const vector<T> &vec)
{
for (size_t i = 0; i < vec.size(); ++i) {
cerr << vec[i] << " " << flush;
@ -280,11 +280,7 @@ void PhraseDictionaryMultiModelCounts::CollectSufficientStatistics(const Phrase&
scoreVector[1] = -raw_scores[1];
scoreVector[2] = -raw_scores[2];
statistics->targetPhrase->GetScoreBreakdown().Assign(this, scoreVector); // set scores to 0
cerr << *targetPhrase << endl;
for (size_t i = 0; i < scoreVector.size(); ++i)
cerr << scoreVector[i] << " ";
cerr << endl;
statistics->targetPhrase->Evaluate();
(*allStats)[targetString] = statistics;
@ -295,8 +291,6 @@ void PhraseDictionaryMultiModelCounts::CollectSufficientStatistics(const Phrase&
statistics->ft[i] = UntransformScore(raw_scores[1]);
fs[i] = UntransformScore(raw_scores[2]);
(*allStats)[targetString] = statistics;
outVec(statistics->ft);
}
}
}
@ -310,7 +304,6 @@ void PhraseDictionaryMultiModelCounts::CollectSufficientStatistics(const Phrase&
statistics->ft[i] = GetTargetCount(static_cast<const Phrase&>(*statistics->targetPhrase), i);
}
}
outVec(statistics->ft);
}
}
@ -339,21 +332,8 @@ TargetPhraseCollection* PhraseDictionaryMultiModelCounts::CreateTargetPhraseColl
scoreVector[3] = FloorScore(TransformScore(lexts));
scoreVector[4] = FloorScore(TransformScore(2.718));
cerr << *statistics->targetPhrase << endl;
for (size_t i = 0; i < scoreVector.size(); ++i)
cerr << scoreVector[i] << " ";
cerr << endl;
vector<float> a = statistics->fst;
vector<float> b = statistics->ft;
vector<float> c = multimodelweights[0];
float d = m_combineFunction(statistics->fst, statistics->ft, multimodelweights[0]);
outVec(a);
outVec(b);
outVec(c);
cerr << d << endl;
statistics->targetPhrase->GetScoreBreakdown().Assign(this, scoreVector);
statistics->targetPhrase->Evaluate();
}
catch (AlignmentException& e) {
continue;