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SmoothedMLEstimator Class Reference

Common implementation of a (smoothed) unigram LM estimated based on a counter. More...

#include <UnigramLM.hpp>

Inheritance diagram for SmoothedMLEstimator:

List of all members.

Public Methods
	SmoothedMLEstimator (const Counter &counter, const string &lexiconID)
virtual	~SmoothedMLEstimator ()
virtual double	prob (TERMID_T wordIndex) const
	return p(w)
virtual void	startIteration () const
	iteration over non-zero probability entries
virtual bool	hasMore () const
virtual void	nextWordProb (TERMID_T &wordIndex, double &prob) const
virtual const string	lexiconID () const
	return a string ID of the lexicon on which the word index should be interpreted
virtual double	probEstimate (TERMID_T wordIndex, double wdCount, double sumCount) const=0
	individual model differs in its implementation of probEstimate() method
Protected Attributes
const Counter &	ct
const string	lexID

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Detailed Description

Common implementation of a (smoothed) unigram LM estimated based on a counter.

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Constructor & Destructor Documentation

SmoothedMLEstimator::SmoothedMLEstimator (  const Counter &    counter, const string &    lexiconID )  [inline]

virtual SmoothedMLEstimator::~SmoothedMLEstimator (    )  [inline, virtual]

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Member Function Documentation

virtual bool SmoothedMLEstimator::hasMore (    )  const [inline, virtual]

Implements UnigramLM.

virtual const string SmoothedMLEstimator::lexiconID (    )  [inline, virtual]

return a string ID of the lexicon on which the word index should be interpreted Implements UnigramLM.

virtual void SmoothedMLEstimator::nextWordProb (  TERMID_T &    wordIndex, double &    prob )  const [inline, virtual]

Implements UnigramLM.

virtual double SmoothedMLEstimator::prob (  TERMID_T    wordIndex )  const [inline, virtual]

return p(w) Implements UnigramLM.

virtual double SmoothedMLEstimator::probEstimate (  TERMID_T    wordIndex, double    wdCount, double    sumCount )  const [pure virtual]

individual model differs in its implementation of probEstimate() method Implemented in MLUnigramLM, LaplaceUnigramLM, DirichletUnigramLM, and InterpUnigramLM.

virtual void SmoothedMLEstimator::startIteration (    )  [inline, virtual]

iteration over non-zero probability entries Implements UnigramLM.

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Member Data Documentation

const Counter& SmoothedMLEstimator::ct [protected]

const string SmoothedMLEstimator::lexID [protected]

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The documentation for this class was generated from the following file:

• UnigramLM.hpp

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