## e-books in Natural Language Processing category

**Speech and Language Processing**

by

**Dan Jurafsky, James H. Martin**-

**Stanford University**,

**2017**

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.

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**1292**views)

**How Mobile Robots Can Self-organise a Vocabulary**

by

**Paul Vogt**-

**Language Science Press**,

**2015**

This book presents a series of experiments in which two robots try to solve the symbol grounding problem. The experiments are based on the language game paradigm, and involve real mobile robots that are able to develop a grounded lexicon ...

(

**1486**views)

**Probabilistic Models in the Study of Language**

by

**Roger Levy**-

**University of California, San Diego**,

**2012**

A book on the topic of using probabilistic models in scientific work on language ranging from experimental data analysis to corpus work to cognitive modeling. The intended audience is graduate students in linguistics, psychology and computer science.

(

**1326**views)

**Natural Language Processing for Prolog Programmers**

by

**Michael A. Covington**-

**Prentice-Hall**,

**1994**

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.

(

**4724**views)

**Machine Translation: an Introductory Guide**

by

**Doug Arnold, at al.**-

**Blackwell Pub**,

**1994**

This introductory book looks at all aspects of Machine Translation: covering questions of what it is like to use a modern Machine Translation system, through questions about how it is done, to questions of evaluating systems, and more.

(

**4448**views)

**Natural Language Processing with Python**

by

**Steven Bird, Ewan Klein, Edward Loper**-

**O'Reilly Media**,

**2009**

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.

(

**7133**views)

**An Introduction to Stochastic Attribute-Value Grammars**

by

**Rob Malouf, Miles Osborne**-

**ESSLLI**,

**2001**

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.

(

**4156**views)

**Formal Language Theory for Natural Language Processing**

by

**Shuly Wintner**-

**ESSLLI**,

**2001**

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.

(

**5697**views)

**Natural Language Processing for the Working Programmer**

by

**DaniĆ«l de Kok, Harm Brouwer**,

**2011**

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.

(

**7240**views)

**Notes on Computational Linguistics**

by

**Edward Stabler**-

**UCLA**,

**2003**

What kind of computational device could use a system like a human language? This text explores the computational properties of devices that could compute morphological and syntactic analyses, and recognize semantic relations among sentences.

(

**9839**views)

**A Maximum Entropy Approach to Natural Language Processing**

by

**A. L. Berger, S. A. Della Pietra, V. J. Della Pietra**-

**Association for Computational Linguistics**,

**1996**

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.

(

**4860**views)

**Language, Proof and Logic**

by

**Jon Barwise, John Etchemendy**-

**Center for the Study of Language**,

**2011**

The book covers the boolean connectives, formal proof techniques, quantifiers, basic set theory, induction, proofs of soundness and completeness for propositional and predicate logic, and an accessible sketch of Godel's first incompleteness theorem.

(

**11686**views)

**Computational Linguistics**

by

**Igor Boshakov, Alexander Gelbukh**,

**2004**

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.

(

**14978**views)

**Prolog and Natural-Language Analysis**

by

**F. C. N. Pereira, S. M. Shieber**-

**Center for the Study of Language**,

**2002**

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.

(

**11368**views)