"Building natural language generation systems " - Information and Links:

Building natural language generation systems - Info and Reading Options

"Building natural language generation systems " was published by Cambridge University Press in 2000 - England, the book is classified in bibliography genre, it has 248 pages and the language of the book is English.


“Building natural language generation systems ” Metadata:

  • Title: ➤  Building natural language generation systems
  • Authors:
  • Language: English
  • Number of Pages: 248
  • Publisher: Cambridge University Press
  • Publish Date:
  • Publish Location: England
  • Genres: bibliography
  • Dewey Decimal Classification: 006.3/5
  • Library of Congress Classification: QA76.9.N38 R45 2000

“Building natural language generation systems ” Subjects and Themes:

Edition Specifications:

  • Number of Pages: xxi, 248 p. : ill. ; 23 cm.

Edition Identifiers:

  • Online Computer Library Center (OCLC) ID: 41017359
  • Library of Congress Control Number (LCCN): ^^^99014937^
  • ISBN-13: 9780521620369
  • All ISBNs: 0521620368 - 9780521620369

AI-generated Review of “Building natural language generation systems ”:


"Building natural language generation systems " Description:

Harvard Library:

"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." "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." "It is essential reading for researchers interested in NLP, AI, and HCI, and for developers interested in advanced document-creation technology."--Jacket.

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