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/***********************************************************************
Moses - factored phrase-based language decoder
Copyright (C) 2006 University of Edinburgh
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 2.1 of the License, or (at your option) any later version.
This library 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 library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
***********************************************************************/
#ifndef moses_PhraseDictionaryMultiModelCounts_h
#define moses_PhraseDictionaryMultiModelCounts_h
#include "moses/TranslationModel/PhraseDictionaryMultiModel.h"
#include <boost/unordered_map.hpp>
#include "moses/StaticData.h"
#include "moses/TargetPhrase.h"
#include "moses/Util.h"
#include "moses/UserMessage.h"
#include <exception>
extern std::vector<std::string> tokenize( const char*);
namespace Moses
{
typedef boost::unordered_map<std::string, double > lexicalMap;
typedef boost::unordered_map<std::string, lexicalMap > lexicalMapJoint;
typedef std::pair<std::vector<float>, std::vector<float> > lexicalPair;
typedef std::vector<std::vector<lexicalPair> > lexicalCache;
struct multiModelCountsStatistics : multiModelStatistics {
std::vector<float> fst, ft;
};
struct multiModelCountsStatisticsOptimization: multiModelCountsStatistics {
std::vector<float> fs;
lexicalCache lexCachee2f, lexCachef2e;
size_t f;
};
struct lexicalTable {
lexicalMapJoint joint;
lexicalMap marginal;
};
double InstanceWeighting(std::vector<float> &joint_counts, std::vector<float> &marginals, std::vector<float> &multimodelweights);
double LinearInterpolationFromCounts(std::vector<float> &joint_counts, std::vector<float> &marginals, std::vector<float> &multimodelweights);
//thrown if alignment information does not match phrase pair (out-of-bound alignment points)
class AlignmentException : public std::runtime_error
{
public:
AlignmentException() : std::runtime_error("AlignmentException") { }
};
/** Implementation of a phrase table with raw counts.
*/
class PhraseDictionaryMultiModelCounts: public PhraseDictionaryMultiModel
{
#ifdef WITH_DLIB
friend class CrossEntropyCounts;
#endif
typedef std::vector< std::set<size_t> > AlignVector;
public:
PhraseDictionaryMultiModelCounts(const std::string &line);
~PhraseDictionaryMultiModelCounts();
void Load();
TargetPhraseCollection* CreateTargetPhraseCollectionCounts(const Phrase &src, std::vector<float> &fs, std::map<std::string,multiModelCountsStatistics*>* allStats, std::vector<std::vector<float> > &multimodelweights) const;
void CollectSufficientStatistics(const Phrase &src, std::vector<float> &fs, std::map<std::string,multiModelCountsStatistics*>* allStats) const;
float GetTargetCount(const Phrase& target, size_t modelIndex) const;
double GetLexicalProbability( std::string &inner, std::string &outer, const std::vector<lexicalTable*> &tables, std::vector<float> &multimodelweights ) const;
double ComputeWeightedLexicalTranslation( const Phrase &phraseS, const Phrase &phraseT, AlignVector &alignment, const std::vector<lexicalTable*> &tables, std::vector<float> &multimodelweights, const std::vector<FactorType> &input_factors, const std::vector<FactorType> &output_factors ) const;
double ComputeWeightedLexicalTranslationFromCache( std::vector<std::vector<std::pair<std::vector<float>, std::vector<float> > > > &cache, std::vector<float> &weights ) const;
std::pair<PhraseDictionaryMultiModelCounts::AlignVector,PhraseDictionaryMultiModelCounts::AlignVector> GetAlignmentsForLexWeights(const Phrase &phraseS, const Phrase &phraseT, const AlignmentInfo &alignment) const;
std::vector<std::vector<std::pair<std::vector<float>, std::vector<float> > > > CacheLexicalStatistics( const Phrase &phraseS, const Phrase &phraseT, AlignVector &alignment, const std::vector<lexicalTable*> &tables, const std::vector<FactorType> &input_factors, const std::vector<FactorType> &output_factors );
void FillLexicalCountsJoint(std::string &wordS, std::string &wordT, std::vector<float> &count, const std::vector<lexicalTable*> &tables) const;
void FillLexicalCountsMarginal(std::string &wordS, std::vector<float> &count, const std::vector<lexicalTable*> &tables) const;
void LoadLexicalTable( std::string &fileName, lexicalTable* ltable);
const TargetPhraseCollection* GetTargetPhraseCollection(const Phrase& src) const;
#ifdef WITH_DLIB
std::vector<float> MinimizePerplexity(std::vector<std::pair<std::string, std::string> > &phrase_pair_vector);
#endif
// functions below required by base class
virtual void InitializeForInput(InputType const&) {
/* Don't do anything source specific here as this object is shared between threads.*/
}
bool OverrideParameter(const std::string& key, const std::string& value);
private:
std::vector<PhraseDictionary*> m_inverse_pd;
std::vector<lexicalTable*> m_lexTable_e2f, m_lexTable_f2e;
double (*m_combineFunction) (std::vector<float> &joint_counts, std::vector<float> &marginals, std::vector<float> &multimodelweights);
std::vector<std::string> m_lexE2FStr, m_lexF2EStr, m_targetTable;
};
#ifdef WITH_DLIB
class CrossEntropyCounts: public OptimizationObjective
{
public:
CrossEntropyCounts (
std::vector<multiModelCountsStatisticsOptimization*> &optimizerStats,
PhraseDictionaryMultiModelCounts * model,
size_t iFeature
) {
m_optimizerStats = optimizerStats;
m_model = model;
m_iFeature = iFeature;
}
double operator() ( const dlib::matrix<double,0,1>& arg) const;
private:
std::vector<multiModelCountsStatisticsOptimization*> m_optimizerStats;
PhraseDictionaryMultiModelCounts * m_model;
size_t m_iFeature;
};
#endif
} // end namespace
#endif
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