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A Review of Statistical Language Processing Techniques

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Abstract

We present a review of some recently developed techniques in the field of natural language processing. This area has witnessed a confluence of approaches which are inspired by theories from linguistics and those which are inspired by theories from information theory: statistical language models are becoming more linguistically sophisticated and the models of language used by linguists are incorporating stochastic techniques to help resolve ambiguities. We include a discussion about the underlying similarities between some of these systems and mention two approaches to the evaluation of statistical language processing systems.

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  1. Department of Computer Science, The Queen's University of Belfast, Belfast, BT7 1NN, N. Ireland

    John McMahon & F. Jack Smith

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McMahon, J., Smith, F.J. A Review of Statistical Language Processing Techniques. Artificial Intelligence Review 12, 347–391 (1998). https://doi.org/10.1023/A:1006517723917

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