mosesdecoder/moses/src/PhraseDictionaryTreeAdaptor.cpp

// $Id$

#include "PhraseDictionaryTreeAdaptor.h"
#include <sys/stat.h>
#include <algorithm>
#include "PhraseDictionaryTree.h"
#include "Phrase.h"
#include "FactorCollection.h"
#include "InputFileStream.h"
#include "InputType.h"
#include "ConfusionNet.h"
#include "Sentence.h"
#include "StaticData.h"
#include "UniqueObject.h"
#include "PDTAimp.h"
#include "UserMessage.h"

namespace Moses
{
/*************************************************************
	function definitions of the interface class
	virtually everything is forwarded to the implementation class
*************************************************************/

PhraseDictionaryTreeAdaptor::
PhraseDictionaryTreeAdaptor(size_t numScoreComponent, unsigned numInputScores, const PhraseDictionaryFeature* feature)
	: PhraseDictionary(numScoreComponent,feature), imp(new PDTAimp(this,numInputScores)) {
}

PhraseDictionaryTreeAdaptor::~PhraseDictionaryTreeAdaptor() 
{
	imp->CleanUp();
	delete imp;
}


bool PhraseDictionaryTreeAdaptor::Load(const std::vector<FactorType> &input
																				 , const std::vector<FactorType> &output
																				 , const std::string &filePath
																				 , const std::vector<float> &weight
																				 , size_t tableLimit
																				 , const LMList &languageModels
																				 , float weightWP)
{
	if(m_numScoreComponent!=weight.size()) {
		std::stringstream strme;
		strme << "ERROR: mismatch of number of scaling factors: "<<weight.size()
						 <<" "<<m_numScoreComponent<<"\n";
		UserMessage::Add(strme.str());
		return false;
	}


	// set PhraseDictionary members
	m_tableLimit=tableLimit;

	imp->Create(input,output,filePath,
							weight,languageModels,weightWP);
	return true;
}

void PhraseDictionaryTreeAdaptor::InitializeForInput(InputType const& source) {
    imp->CleanUp();
    // caching only required for confusion net
    if(ConfusionNet const* cn=dynamic_cast<ConfusionNet const*>(&source))
        imp->CacheSource(*cn);                     
}

TargetPhraseCollection const* 
PhraseDictionaryTreeAdaptor::GetTargetPhraseCollection(Phrase const &src) const
{
	return imp->GetTargetPhraseCollection(src);
}

TargetPhraseCollection const* 
PhraseDictionaryTreeAdaptor::GetTargetPhraseCollection(InputType const& src,WordsRange const &range) const
{
	if(imp->m_rangeCache.empty())
	{
		return imp->GetTargetPhraseCollection(src.GetSubString(range));
	}
	else
	{
		return imp->m_rangeCache[range.GetStartPos()][range.GetEndPos()];
	}
}

void PhraseDictionaryTreeAdaptor::
AddEquivPhrase(const Phrase &source, const TargetPhrase &targetPhrase) 
{
	imp->AddEquivPhrase(source,targetPhrase);
}
void PhraseDictionaryTreeAdaptor::EnableCache()
{
	imp->useCache=1;
}
void PhraseDictionaryTreeAdaptor::DisableCache()
{
	imp->useCache=0;
}



size_t PhraseDictionaryTreeAdaptor::GetNumInputScores() const {
	return imp->GetNumInputScores();
}

std::string PhraseDictionaryTreeAdaptor::GetScoreProducerDescription() const
{
	return "PhraseModel";
}

}