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Noisy channel model
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Noisy channel model : ウィキペディア英語版
Noisy channel model

The noisy channel model is a framework used in spell checkers,
question answering, speech recognition, and machine translation.
In this model, the goal is to find the intended word given a word where the
letters have been scrambled in some manner.
== Definition ==

Given an alphabet \Sigma, let \Sigma^
* be the set
of all finite strings over \Sigma. Let the dictionary
D of valid words be some subset of \Sigma^
*, i.e.,
D\subseteq\Sigma^
*.
The noisy channel is the matrix
:\Gamma_ = \Pr(s|w),
where w\in D is the intended word and s\in\Sigma^
*
is the scrambled word that was actually received.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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