by Igor Boshakov, Alexander Gelbukh
Number of pages: 198
The contents of the book are based on the course on computational linguistics that has been delivered by the authors since 1997 at the Center for Computing Research, National Polytechnic Institute, Mexico City. 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.
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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 Joseph D. Booth - Syncfusion, Inc.
Author will guide readers through designing a simple system that can interpret and provide reasonable responses to written English text. With this foundation, readers will be prepared to tackle the greater challenges of natural language development.
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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.
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This text takes an empirical approach to the subject, based on applying statistical and machine-learning algorithms to large corporations. The authors describe a unified vision of speech and language processing. Emphasis is on practical applications.