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DictFeat.h
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DictFeat.h
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/*
thot package for statistical machine translation
Copyright (C) 2013 Daniel Ortiz-Mart\'inez
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 3
of the License, or (at your option) any later version.
This program 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 program; If not, see <http://www.gnu.org/licenses/>.
*/
/**
* @file DictFeat.h
*
* @brief Declares the DictFeat template class. This class implements a
* dictionary feature with scores.
*/
#ifndef _DictFeat_h
#define _DictFeat_h
//--------------- Include files --------------------------------------
#if HAVE_CONFIG_H
# include <thot_config.h>
#endif /* HAVE_CONFIG_H */
#include "PhrScoreInfo.h"
#include "BasePbTransModelFeature.h"
#include "AwkInputStream.h"
#include "Score.h"
#include "ErrorDefs.h"
#include <stdexcept>
#include <map>
#include <stdlib.h>
//--------------- Constants ------------------------------------------
//--------------- Classes --------------------------------------------
//--------------- DictFeat class
/**
* @brief The DictFeat template class implements a
* dictionary feature with scores.
*/
template<class SCORE_INFO>
class DictFeat: public BasePbTransModelFeature<SCORE_INFO>
{
public:
typedef typename BasePbTransModelFeature<SCORE_INFO>::HypScoreInfo HypScoreInfo;
// Constructors
DictFeat();
DictFeat(std::string modelFileName);
// Feature information
std::string getFeatType(void);
// Scoring functions
HypScoreInfo extensionScore(const std::vector<std::string>& srcSent,
const HypScoreInfo& predHypScrInf,
const PhrHypDataStr& predHypDataStr,
const PhrHypDataStr& newHypDataStr,
float weight,
Score& unweightedScore);
Score scorePhrasePairUnweighted(const std::vector<std::string>& srcPhrase,
const std::vector<std::string>& trgPhrase);
// Functions to obtain translation options
void obtainTransOptions(const std::vector<std::string>& wordVec,
std::vector<std::vector<std::string> >& transOptVec);
protected:
typedef std::map<std::vector<std::string>,Score> TransOptions;
typedef std::map<std::vector<std::string>, TransOptions> Dict;
Dict dict;
int load(std::string modelFileName);
int extractEntryInfo(AwkInputStream& awk,
std::vector<std::string>& srcPhr,
std::vector<std::string>& trgPhr,
Score& scr);
void insertEntry(const std::vector<std::string>& srcPhr,
const std::vector<std::string>& trgPhr,
Score scr);
};
//--------------- DictFeat class functions
//
template<class SCORE_INFO>
DictFeat<SCORE_INFO>::DictFeat()
{
}
//---------------------------------
template<class SCORE_INFO>
DictFeat<SCORE_INFO>::DictFeat(std::string modelFileName)
{
// Load dictionary entries from file
int ret=load(modelFileName);
if(ret==THOT_ERROR)
throw std::runtime_error("Error while initializing DictFeat object");
}
//---------------------------------
template<class SCORE_INFO>
int DictFeat<SCORE_INFO>::load(std::string modelFileName)
{
AwkInputStream awk;
if(awk.open(modelFileName.c_str())==THOT_ERROR)
{
return THOT_ERROR;
}
else
{
// Read entries for each model
while(awk.getln())
{
// Extract entry information
std::vector<std::string> srcPhr;
std::vector<std::string> trgPhr;
Score scr;
extractEntryInfo(awk,srcPhr,trgPhr,scr);
// Insert information into dictionary
insertEntry(srcPhr,trgPhr,scr);
}
}
return THOT_OK;
}
//---------------------------------
template<class SCORE_INFO>
int DictFeat<SCORE_INFO>::extractEntryInfo(AwkInputStream& awk,
std::vector<std::string>& srcPhr,
std::vector<std::string>& trgPhr,
Score& scr)
{
unsigned int i;
// Obtain source phrase
srcPhr.clear();
for(i = 1; i <= awk.NF; ++i)
{
if(awk.dollar(i) == "|||")
break;
else
srcPhr.push_back(awk.dollar(i));
}
if(i == awk.NF)
return THOT_ERROR;
// Obtain target phrase
trgPhr.clear();
i += 1;
for(; i <= awk.NF; ++i)
{
if(awk.dollar(i) == "|||")
break;
else
trgPhr.push_back(awk.dollar(i));
}
if(i != awk.NF - 1)
return THOT_ERROR;
// Obtain score
scr = atof(awk.dollar(awk.NF).c_str());
return THOT_OK;
}
//---------------------------------
template<class SCORE_INFO>
void DictFeat<SCORE_INFO>::insertEntry(const std::vector<std::string>& srcPhr,
const std::vector<std::string>& trgPhr,
Score scr)
{
Dict::iterator dictIter=dict.find(srcPhr);
if(dictIter==dict.end())
{
// There is no entry for source phrase
TransOptions trOpts;
trOpts.insert(std::make_pair(trgPhr,scr));
dict.insert(std::make_pair(srcPhr,trOpts));
}
else
{
// Given source phrase has an entry in dictionary
dictIter->second[trgPhr]=scr;
}
}
//---------------------------------
template<class SCORE_INFO>
std::string DictFeat<SCORE_INFO>::getFeatType(void)
{
return "DictFeat";
}
//---------------------------------
template<class SCORE_INFO>
Score DictFeat<SCORE_INFO>::scorePhrasePairUnweighted(const std::vector<std::string>& srcPhrase,
const std::vector<std::string>& trgPhrase)
{
Dict::const_iterator dictIter=dict.find(srcPhrase);
if(dictIter==dict.end())
return FEAT_LGPROB_SMOOTH;
else
{
TransOptions::const_iterator trOptIter=dictIter->second.find(trgPhrase);
if(trOptIter==dictIter->second.end())
return FEAT_LGPROB_SMOOTH;
else
return trOptIter->second;
}
}
//---------------------------------
template<class SCORE_INFO>
void DictFeat<SCORE_INFO>::obtainTransOptions(const std::vector<std::string>& wordVec,
std::vector<std::vector<std::string> >& transOptVec)
{
// Clear output variable
transOptVec.clear();
// Find translation options for wordVec
Dict::const_iterator dictIter=dict.find(wordVec);
if(dictIter!=dict.end())
{
// Put translation options in output variable
TransOptions::const_iterator trOptIter;
for(trOptIter=dictIter->second.begin();trOptIter!=dictIter->second.end();++trOptIter)
transOptVec.push_back(trOptIter->first);
}
}
#endif