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Natural Language Processing
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e-books in this category
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 ...
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.
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.
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.
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.
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.
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.
Natural Language Processing for the Working Programmer
by Daniël 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.
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.
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.
Computing Natural Language
by A. Aliseda, R. van Glabbeek, D. Westerstahl - CSLI , 1998
This book pursues the recent research in the interface of logic, language and computation, with applications to artificial intelligence and machine learning. It contains contributions to the logical and computational analysis of natural language.
Natural Language Processing in Prolog
by Gerald Gazdar, Chris Mellish - Addison-Wesley , 1989
The major focus of this book is on the processing of the orthographic forms of natural language utterances and text. Most of the book deals with the parsing and understanding of natural language, much less on the production of it.
Natural Language Processing in Lisp
by Gerald Gazdar, Chris Mellish - Addison-Wesley , 1989
This book is aimed at computer scientists and linguists at undergraduate, postgraduate, or faculty level, who have taken a programming course in Lisp. The focus is on the processing of the orthographic forms of natural language utterances and text.
Language, Proof and Logic
by Jon Barwise, John Etchemendy - Center for the Study of Language , 2002
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.
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.
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.