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Bibliographic Details

Title: Building Natural Language Generation Systems (Studies in Natural Language Processing) (Volume 0)
Publisher: Cambridge University Press
Publication Date: 2006
Language: English
ISBN 10: 052102451X
ISBN 13: 9780521024518
Binding: Soft cover
Condition: Good

About this title

Synopsis

This book explains how to build Natural Language Generation (NLG) systems--computer software systems that automatically generate understandable texts in English or other human languages. NLG systems use knowledge about language and the application domain to automatically produce documents, reports, explanations, help messages, and other kinds of texts. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization, using a case study to show how these components fit together. It is essential reading for researchers interested in NLP, AI, and HCI; and for developers interested in advanced document-creation technology.

Review

"Consistent and well-developed...a valuable guide..." General Linguistics

"[A]n indispensable guide...extremely well-organized and well-written." User Modeling and User-Adapted Interaction

"Each topic is clearly presented...the information is very well organized...It is detailed, without being too dense or overloaded with technical jargon...This book should be read by anyone interested in natural language processing who wants to get a better idea of the specifics of NLG." Computing Reviews

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Phatpocket Limited is a world class secondhand bookstore located in the Hertfordshire countryside in the United Kingdom. We specialize in textbooks across an enormous variety of subjects. We aim to provide a low cost source of high quality textbooks to the academic community. We also have a sizable collection of rare and collectible books. We are dedicated to providing our customers with the highest standard of customer service in the bookselling business.Phatpocket Limited is registered in England and Wales: No. 04924751.

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