Building Natural Language Generation Systems
by Ehud Reiter, Robert Dale
Studies in Natural Language Processing
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Description
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 show more 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. show lessTags
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Author Information
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Ehud Reiter is a lecturer in Computing Science at the University of Aberdeen.
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Series
Common Knowledge
- Canonical title
- Building Natural Language Generation Systems
Classifications
- Genres
- Nonfiction, Technology
- DDC/MDS
- 006.3 — Computer science, information & general works Computer science, knowledge & systems Special computer methods (AI, barcoding, VR, web design, social media) Artificial Intelligence
- LCC
- QA76.9 .N38 .R45 — Science Mathematics Mathematics Instruments and machines Calculating machines Electronic computers. Computer science
- BISAC
Statistics
- Members
- 13
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- 1,773,221
- Languages
- English
- Media
- Paper, Ebook
- ISBNs
- 3
- ASINs
- 1





