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#ifndef moses_GlobalLexicalModel_h
#define moses_GlobalLexicalModel_h
#include <stdexcept>
#include <string>
#include <vector>
#include <memory>
#include "StatelessFeatureFunction.h"
#include "moses/Factor.h"
#include "moses/Phrase.h"
#include "moses/TypeDef.h"
#include "moses/Util.h"
#include "moses/Range.h"
#include "moses/FactorTypeSet.h"
#include "moses/Sentence.h"
#ifdef WITH_THREADS
#include <boost/thread/tss.hpp>
#endif
namespace Moses
{
class Factor;
class Phrase;
class Hypothesis;
class InputType;
/** Discriminatively trained global lexicon model
* This is a implementation of Mauser et al., 2009's model that predicts
* each output word from _all_ the input words. The intuition behind this
* feature is that it uses context words for disambiguation
*/
class GlobalLexicalModel : public StatelessFeatureFunction
{
typedef boost::unordered_map< const Word*,
boost::unordered_map< const Word*, float, UnorderedComparer<Word> , UnorderedComparer<Word> >,
UnorderedComparer<Word>, UnorderedComparer<Word> > DoubleHash;
typedef boost::unordered_map< const Word*, float, UnorderedComparer<Word>, UnorderedComparer<Word> > SingleHash;
typedef std::map< const TargetPhrase*, float > LexiconCache;
struct ThreadLocalStorage {
LexiconCache cache;
const Sentence *input;
};
private:
DoubleHash m_hash;
#ifdef WITH_THREADS
boost::thread_specific_ptr<ThreadLocalStorage> m_local;
#else
std::auto_ptr<ThreadLocalStorage> m_local;
#endif
Word *m_bias;
FactorMask m_inputFactors, m_outputFactors;
std::vector<FactorType> m_inputFactorsVec, m_outputFactorsVec;
std::string m_filePath;
void Load();
float ScorePhrase( const TargetPhrase& targetPhrase ) const;
float GetFromCacheOrScorePhrase( const TargetPhrase& targetPhrase ) const;
public:
GlobalLexicalModel(const std::string &line);
virtual ~GlobalLexicalModel();
void SetParameter(const std::string& key, const std::string& value);
void InitializeForInput(ttasksptr const& ttask);
bool IsUseable(const FactorMask &mask) const;
void EvaluateInIsolation(const Phrase &source
, const TargetPhrase &targetPhrase
, ScoreComponentCollection &scoreBreakdown
, ScoreComponentCollection &estimatedScores) const;
void EvaluateWhenApplied(const Hypothesis& hypo,
ScoreComponentCollection* accumulator) const {
}
void EvaluateWhenApplied(const ChartHypothesis &hypo,
ScoreComponentCollection* accumulator) const {
}
void EvaluateWithSourceContext(const InputType &input
, const InputPath &inputPath
, const TargetPhrase &targetPhrase
, const StackVec *stackVec
, ScoreComponentCollection &scoreBreakdown
, ScoreComponentCollection *estimatedScores = NULL) const {
}
void EvaluateTranslationOptionListWithSourceContext(const InputType &input
, const TranslationOptionList &translationOptionList) const {
}
};
}
#endif
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