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Building Natural Language Generation Systems (Studies in Natural Language Processing) [Paperback]

Ehud Reiter , Robert Dale
5.0 out of 5 stars  See all reviews (1 customer review)
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Book Description

9 Mar 2006 Studies in Natural Language Processing
This book explains how to build Natural Language Generation (NLG) systems - computer software systems which use techniques from artificial intelligence and computational linguistics to automatically generate understandable texts in English or other human languages, either in isolation or as part of multimedia documents, Web pages, and speech output systems. Typically starting from some non-linguistic representation of information as input, 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 also discusses engineering issues such as system architecture, requirements analysis, and the integration of text generation into multimedia and speech output systems.


Product details

  • Paperback: 272 pages
  • Publisher: Cambridge University Press; Digitally Printed 1st Pbk. Version edition (9 Mar 2006)
  • Language: English
  • ISBN-10: 052102451X
  • ISBN-13: 978-0521024518
  • Product Dimensions: 22.9 x 15.2 x 1.5 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 294,775 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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"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

Book Description

This book explains how to build Natural Language Generation systems - computer software systems which automatically generate understandable texts in English or other human languages. The book covers the algorithms and representations needed to perform the core tasks of document planning, microplanning, and surface realization.

Inside This Book (Learn More)
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First Sentence
NATURAL LANGUAGE GENERATION (NLG) is the subfield of artificial intelligence and computational linguistics that focuses on computer systems that can produce understandable texts in English or other human languages. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews
5.0 out of 5 stars Easy, Practical, Great 8 Feb 2011
By LeMiffe
Format:Paperback
As stated in the preface to this book, "This book describes NLG, which is a subfield of AI and CL that is concerned with building computer software systems that can produce meaningful texts in English or other human languages from some underlying information", and this is exactly what it does.

The heart of the book is contained in three chapters: 4) Document Planning, 5) Microplanning, and 6) Surface Realisation. It is in these three steps that the NLG pipeline is (usually) divided into. The other four chapters serve as an introduction to NLG, practical uses, and a description of the architectures followed by NLG systems.

Each chapter has a clear explanation, and a great list of references. It provides excellent information for the undergraduate or MSc student who is interested in Natural Language Processing and AI. I consider this book to be a great, easy read. It is not saturated with mathematical formulae which allows the reader to flow through the text easily.

Overall, I consider it a great read. It could do with a bit more depth in several sections, and examples using CCG (Possibly OpenCCG). However, considering it was written over 10 years ago, I still think it is pretty up to date regarding current practices.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com: 4.0 out of 5 stars  1 review
24 of 24 people found the following review helpful
4.0 out of 5 stars A worthy introduction to NLG (natural language generation) 20 April 2000
By OregonCoast - Published on Amazon.com
Format:Hardcover|Verified Purchase
Summary: Reiter and Dale provide a useful introduction to NLG.
Review: This book is probably the first of its kind. Although there has been considerable work in natural language summarization, research in producing natural language is in its infancy. The authors draw upon actual NLG systems to illustrate the techinical issues involved. They are careful to point out that NLG may not be the best solution for the reader's practical problems. For instance, human writers might produce better text, or mail-merge programs might do the job (albeit with lower quality) at a significantly lower price. A shortcoming -- perhaps a necessary one -- is that the authors hesitate to describe research and development trends for the past decade. The reason does not appear to be a shortage of the quality and quantity of NLG R&D, because the authors do analyze trends for the 1970's and the 1980's. Are the authors hesitant to criticize their contemporary colleagues? A blunt trends analysis would have been helpful, particularly for readers new to the field.
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