A Maximum Entropy Approach to Natural Language Processing
by A. L. Berger, S. A. Della Pietra, V. J. Della Pietra
Publisher: Association for Computational Linguistics 1996
Number of pages: 36
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, using as examples several problems in natural language processing.
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by Daniël de Kok, Harm Brouwer
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.
by Igor Boshakov, Alexander Gelbukh
The book focuses on the basic set of ideas and facts from the fundamental science necessary for the creation of intelligent language processing tools, without going deeply into the details of specific algorithms or toy systems.
by Michael A. Covington - Prentice-Hall
Designed to bridge the gap for those who know Prolog but have no background in linguistics, this book concentrates on turning theories into practical techniques. Coverage includes template and keyword systems, definite clause grammars, and more.
by F. C. N. Pereira, S. M. Shieber - Center for the Study of Language
A concise introduction to logic programming and the logic-programming language Prolog both as vehicles for understanding elementary computational linguistics and as tools for implementing the basic components of natural-language-processing systems.