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Statistical Language Modeling

The Handbook of Computational Linguistics and Natural Language Processing, Wiley-Blackwell, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ United Kingdom (2010), pp. 74-104

Abstract

Many practical applications such as automatic speech recognition, statistical machine translation, spelling correction resort to variants of the well established source-channel model for producing the correct string of words W given an input speech signal, sentence in foreign language, or typed text with possible mistakes, respectively. A basic component of such systems is a statistical language model which estimates the prior probability values for strings of words W.

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