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e4f5c69109
Some FF (Mmsapt, LexicalReordering, Many single-value FF) provide this number during "registration"; when missing, a default weight vector of uniform 1.0 is automatically generated. This eliminates the need for the user to figure out what the exact number of features is for each FF, which can get complicated, e.g. in the case of Mmsapt/PhraseDictionaryBitextSampling.
52 lines
1.3 KiB
C++
52 lines
1.3 KiB
C++
#pragma once
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#include "FeatureFunction.h"
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#include "moses/Syntax/SHyperedge.h"
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namespace Moses
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{
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/** base class for all stateless feature functions.
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* eg. phrase table, word penalty, phrase penalty
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*/
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class StatelessFeatureFunction: public FeatureFunction
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{
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//All stateless FFs, except those that cache scores in T-Option
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static std::vector<const StatelessFeatureFunction*> m_statelessFFs;
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public:
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static const std::vector<const StatelessFeatureFunction*>& GetStatelessFeatureFunctions() {
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return m_statelessFFs;
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}
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StatelessFeatureFunction(const std::string &line, bool registerNow);
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StatelessFeatureFunction(size_t numScoreComponents, const std::string &line);
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/**
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* This should be implemented for features that apply to phrase-based models.
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**/
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virtual void EvaluateWhenApplied(const Hypothesis& hypo,
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ScoreComponentCollection* accumulator) const = 0;
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/**
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* Same for chart-based features.
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**/
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virtual void EvaluateWhenApplied(const ChartHypothesis &hypo,
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ScoreComponentCollection* accumulator) const = 0;
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virtual void EvaluateWhenApplied(const Syntax::SHyperedge &,
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ScoreComponentCollection*) const {
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assert(false);
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}
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virtual bool IsStateless() const {
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return true;
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}
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};
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} // namespace
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