An Introduction to Language Processing with Perl and Prolog: An Outline of Theories, Implementation, and Application with Special Consideration of English, French, and German Hardcover – Apr 5 2006
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From the reviews:
"This book presents a concise introduction to natural language processing both theoretical and practical in nature with emphasis on English, French and German language structure. … The text is suitable for researchers and students of natural language processing and computational linguistics … . In fact, there is an elaborate internet site … dedicated to this book … ." (Rainer Horsch, Zentrablatt MATH, Vol. 1096 (22), 2006)
"This comprehensive NLP textbook is strongly algorithm-oriented and designed for talented computer programmers who might or might not be linguists. … Nugue’s book is also useful to working professionals as a handbook of techniques and algorithms. … this is an unusually useful and well-written book, and I plan to recommend it to my students as well as using it myself as a handbook." (Michael A. Covington, Computational Lingustics, Vol. 33 (4), 2007)
About the Author
Pierre Nugues’ research is focused on natural language processing for advanced user interfaces and spoken dialogue. This includes the design and the implementation of conversational agents within a multimodal framework and text visualization. He led the team that designed a navigation agent - Ulysse - that enables a user to navigate in a virtual reality environment using language, and the team that designed the CarSim system that generates animated 3D scenes from written texts.
Pierre Nugues has taught natural-language processing and computational linguistics at the following institutions: ISMRA, Caen, France; University of Nottigham, UK; Staffordshire University, UK; FH Konstanz, Germany; Lund University, Sweden; and Ghent University, Belgium.
Most Helpful Customer Reviews on Amazon.com (beta)
This is not to say you can pick up this book without the proper background and get much out of it. Language processing is a field requiring a good background in a number of fields including the theory of computation, linguistics, artificial intelligence, and information theory to name a few. You should be familiar with all of these fields before tackling the book, although the author does introduce these topics somewhat before digging into details.
One thing the author does not do much of is explain Prolog or PERL. He assumes you already know these languages, although there is an appendix at the back of the book covering Prolog. Prolog is a difficult language to learn and is not at all intuitive. However, it is an excellent choice for coding up many algorithms concerning artificial intelligence. Thus, although I do not argue with the author's choice of language, I do recommend that you become fluent in Prolog before you read this book.
I used to recommend Jurafsky and Martin for people starting out learning language processing, but now I think I can recommend this book for not only the big picture but the details of this interesting field as well.
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