Natural Language Processing for Prolog Programmers
by Michael A. Covington
Publisher: Prentice-Hall 1994
Number of pages: 361
Designed to bridge the gap for those who know Prolog but have little or no background in linguistics, this book concentrates on turning theories into practical techniques. Coverage includes template and keyword systems, definite clause grammars (DCGs), English syntax, unification-based grammar, parsing algorithms, semantics, and morphology.
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by Rob Malouf, Miles Osborne - ESSLLI
This text provides an introduction to the maximum entropy principle and the construction of maximum entropy models for natural language processing. We investigate the implementation of maximum entropy models for attribute-value grammars.
by A. L. Berger, S. A. Della Pietra, V. J. Della Pietra - Association for Computational Linguistics
The authors describe a method for statistical modeling based on maximum entropy. They present a maximum-likelihood approach for automatically constructing maximum entropy models and describe how to implement this approach efficiently.
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We will go into many of the techniques that so-called computational linguists use to analyze the structure of human language, and transform it into a form that computers work with. We chose Haskell as the main programming language for this book.
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This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies. With it, you'll learn how to write Python programs that work with large collections of unstructured text.