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OneStepMarkovChain Class Reference

One step markov chain translation model, not fully tested yet. More...

#include <OneStepMarkovChain.hpp>

List of all members.

Public Methods
	OneStepMarkovChain (const WeightedIDSet &docSet, const Index &homeIndex, double *wdNorm, double stopProbAlpha)
	construct a MC restricted to a subset of docs
	~OneStepMarkovChain ()
Iteration support
void	startFromWordIteration (TERMID_T toWord) const
	Start iteration over w's for t(toWord |w).
bool	hasMoreFromWord () const
void	nextFromWordProb (TERMID_T &fromWord, double &prob) const
	Fetch the next word and the prob of "translating" it to the toWord.

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Detailed Description

One step markov chain translation model, not fully tested yet.

This code is included mainly to illustrate how the toolkit can be used for estimating such models.

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Constructor & Destructor Documentation

OneStepMarkovChain::OneStepMarkovChain (  const WeightedIDSet &    docSet, const Index &    homeIndex, double *    wdNorm, double    stopProbAlpha )

construct a MC restricted to a subset of docs

OneStepMarkovChain::~OneStepMarkovChain (    )

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Member Function Documentation

bool OneStepMarkovChain::hasMoreFromWord (    )  const [inline]

void OneStepMarkovChain::nextFromWordProb (  TERMID_T &    fromWord, double &    prob )  const

Fetch the next word and the prob of "translating" it to the toWord.

void OneStepMarkovChain::startFromWordIteration (  TERMID_T    toWord )  const

Start iteration over w's for t(toWord |w). Given a word, this provides a way to access the translation probability from any word to this word. E.g., given w, each iteration would give us t(w|w1), t(w|w2), ..., t(w|w_n).

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

• OneStepMarkovChain.hpp
• OneStepMarkovChain.cpp

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