mosesdecoder/moses-cmd/src/IOCommandLine.cpp

// $Id$

/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (c) 2006 University of Edinburgh
All rights reserved.

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			may be used to endorse or promote products derived from this software 
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// example file on how to use moses library

#include <iostream>
#include "TypeDef.h"
#include "Util.h"
#include "IOCommandLine.h"
#include "Hypothesis.h"
#include "WordsRange.h"
#include "LatticePathList.h"
#include "StaticData.h"
#include "DummyScoreProducers.h"

using namespace std;

IOCommandLine::IOCommandLine(
				const vector<FactorType>				&inputFactorOrder
				, const vector<FactorType>			&outputFactorOrder
				, const FactorMask							&inputFactorUsed
				, FactorCollection							&factorCollection
				, size_t												nBestSize
				, const string									&nBestFilePath)
:m_inputFactorOrder(inputFactorOrder)
,m_outputFactorOrder(outputFactorOrder)
,m_inputFactorUsed(inputFactorUsed)
,m_factorCollection(factorCollection)
{
	if (nBestSize > 0)
	{
		m_nBestFile.open(nBestFilePath.c_str());
	}
}

InputType*IOCommandLine::GetInput(InputType* in)
{
	return InputOutput::GetInput(in,std::cin,m_inputFactorOrder, m_factorCollection);
}

/***
 * print surface factor only for the given phrase
 */
void OutputSurface(std::ostream &out, const Phrase &phrase, const std::vector<FactorType> &outputFactorOrder, bool reportAllFactors)
{
	assert(outputFactorOrder.size() > 0);
	if (reportAllFactors == true) 
	{
		out << phrase;
	} 
	else 
	{
		size_t size = phrase.GetSize();
		for (size_t pos = 0 ; pos < size ; pos++)
		{
			const Factor *factor = phrase.GetFactor(pos, outputFactorOrder[0]);
			out << *factor;
			
			for (size_t i = 1 ; i < outputFactorOrder.size() ; i++)
			{
				const Factor *factor = phrase.GetFactor(pos, outputFactorOrder[i]);
				out << "|" << *factor;
			}
			out << " ";
		}
	}
}

void OutputSurface(std::ostream &out, const Hypothesis *hypo, const std::vector<FactorType> &outputFactorOrder
									 ,bool reportSegmentation, bool reportAllFactors)
{
	if ( hypo != NULL)
	{
		OutputSurface(out, hypo->GetPrevHypo(), outputFactorOrder, reportSegmentation, reportAllFactors);
		OutputSurface(out, hypo->GetTargetPhrase(), outputFactorOrder, reportAllFactors);

		if (reportSegmentation == true
		    && hypo->GetTargetPhrase().GetSize() > 0) {
			out << "|" << hypo->GetCurrSourceWordsRange().GetStartPos()
			    << "-" << hypo->GetCurrSourceWordsRange().GetEndPos() << "| ";
		}
	}
}

void IOCommandLine::Backtrack(const Hypothesis *hypo){

	if (hypo->GetPrevHypo() != NULL) {
		VERBOSE(3,hypo->m_id << " <= ");
		Backtrack(hypo->GetPrevHypo());
	}
}

void IOCommandLine::SetOutput(const Hypothesis *hypo, long /*translationId*/, bool reportSegmentation, bool reportAllFactors)
{
	if (hypo != NULL)
	{
		VERBOSE(2,"BEST TRANSLATION: " << *hypo << endl);
		VERBOSE(3,"Best path: ");
		Backtrack(hypo);
		VERBOSE(3,"0" << std::endl);

		OutputSurface(cout, hypo, m_outputFactorOrder, reportSegmentation, reportAllFactors);
	}
	else
	{
		TRACE_ERR("NO BEST TRANSLATION" << endl);
	}
	
	cout << endl;
}

void IOCommandLine::SetNBest(const LatticePathList &nBestList, long translationId)
{
	bool labeledOutput = StaticData::Instance()->IsLabeledNBestList();
	
	LatticePathList::const_iterator iter;
	for (iter = nBestList.begin() ; iter != nBestList.end() ; ++iter)
	{
		const LatticePath &path = **iter;
		const std::vector<const Hypothesis *> &edges = path.GetEdges();

		// print the surface factor of the translation
		m_nBestFile << translationId << " ||| ";
		for (int currEdge = (int)edges.size() - 1 ; currEdge >= 0 ; currEdge--)
		{
			const Hypothesis &edge = *edges[currEdge];
			OutputSurface(m_nBestFile, edge.GetTargetPhrase(), m_outputFactorOrder, false); // false for not reporting all factors
		}
		m_nBestFile << " ||| ";

		// print the scores in a hardwired order
    // before each model type, the corresponding command-line-like name must be emitted
    // MERT script relies on this

		// basic distortion
		if (labeledOutput)
	    m_nBestFile << "d: ";
		m_nBestFile << path.GetScoreBreakdown().GetScoreForProducer(StaticData::Instance()->GetDistortionScoreProducer()) << " ";

//		reordering
		vector<LexicalReordering*> rms = StaticData::Instance()->GetReorderModels();
		if(rms.size() > 0)
		{
				vector<LexicalReordering*>::iterator iter;
				for(iter = rms.begin(); iter != rms.end(); ++iter)
				{
					vector<float> scores = path.GetScoreBreakdown().GetScoresForProducer(*iter);
					for (size_t j = 0; j<scores.size(); ++j) 
					{
				  		m_nBestFile << scores[j] << " ";
					}
				}
		}
			
		// lm
		const LMList& lml = StaticData::Instance()->GetAllLM();
    if (lml.size() > 0) {
			if (labeledOutput)
	      m_nBestFile << "lm: ";
		  LMList::const_iterator lmi = lml.begin();
		  for (; lmi != lml.end(); ++lmi) {
			  m_nBestFile << path.GetScoreBreakdown().GetScoreForProducer(*lmi) << " ";
		  }
    }

		// translation components
		vector<PhraseDictionaryBase*> pds = StaticData::Instance()->GetPhraseDictionaries();
    if (pds.size() > 0) {
			if (labeledOutput)
	      m_nBestFile << "tm: ";
		  vector<PhraseDictionaryBase*>::iterator iter;
		  for (iter = pds.begin(); iter != pds.end(); ++iter) {
			  vector<float> scores = path.GetScoreBreakdown().GetScoresForProducer(*iter);
			  for (size_t j = 0; j<scores.size(); ++j) 
				  m_nBestFile << scores[j] << " ";
			  
		  }
    }
		
		// word penalty
		if (labeledOutput)
	    m_nBestFile << "w: ";
		m_nBestFile << path.GetScoreBreakdown().GetScoreForProducer(StaticData::Instance()->GetWordPenaltyProducer()) << " ";
		
		// generation
		vector<GenerationDictionary*> gds = StaticData::Instance()->GetGenerationDictionaries();
    if (gds.size() > 0) {
			if (labeledOutput)
	      m_nBestFile << "g: ";
		  vector<GenerationDictionary*>::iterator iter;
		  for (iter = gds.begin(); iter != gds.end(); ++iter) {
			  vector<float> scores = path.GetScoreBreakdown().GetScoresForProducer(*iter);
			  for (size_t j = 0; j<scores.size(); j++) {
				  m_nBestFile << scores[j] << " ";
			  }
		  }
    }
		
		// total						
		m_nBestFile << "||| " << path.GetTotalScore() << endl;
	}

	m_nBestFile<<std::flush;
}