Natural Language Processing for the Working Programmer
by Daniël de Kok, Harm Brouwer
Number of pages: 78
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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by Shuly Wintner - ESSLLI
This text is a mild introduction to Formal Language Theory for students with little or no background in formal systems. The motivation is Natural Language Processing, and the presentation is geared towards NLP applications, with extensive examples.
by Dan Jurafsky, James H. Martin - Stanford University
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.
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.
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.