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https://github.com/moses-smt/mosesdecoder.git
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56 lines
1.5 KiB
C++
56 lines
1.5 KiB
C++
#pragma once
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#include "FeatureFunction.h"
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namespace Moses
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{
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class FFState;
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/** base class for all stateful feature functions.
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* eg. LM, distortion penalty
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*/
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class StatefulFeatureFunction: public FeatureFunction
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{
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//All statefull FFs
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static std::vector<const StatefulFeatureFunction*> m_statefulFFs;
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public:
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static const std::vector<const StatefulFeatureFunction*>& GetStatefulFeatureFunctions() {
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return m_statefulFFs;
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}
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StatefulFeatureFunction(const std::string &line);
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StatefulFeatureFunction(size_t numScoreComponents, const std::string &line);
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/**
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* \brief This interface should be implemented.
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* Notes: When evaluating the value of this feature function, you should avoid
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* calling hypo.GetPrevHypo(). If you need something from the "previous"
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* hypothesis, you should store it in an FFState object which will be passed
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* in as prev_state. If you don't do this, you will get in trouble.
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*/
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virtual FFState* EvaluateWhenApplied(
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const Hypothesis& cur_hypo,
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const FFState* prev_state,
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ScoreComponentCollection* accumulator) const = 0;
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virtual FFState* EvaluateWhenApplied(
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const ChartHypothesis& /* cur_hypo */,
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int /* featureID - used to index the state in the previous hypotheses */,
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ScoreComponentCollection* accumulator) const = 0;
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//! return the state associated with the empty hypothesis for a given sentence
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virtual const FFState* EmptyHypothesisState(const InputType &input) const = 0;
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bool IsStateless() const {
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return false;
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}
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};
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}
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