Lexical Semantics and Knowledge Representation in Multilingual Text Generation
Language: English
Published by Kluwer Academic Publishers, 1999
Series: Book 89 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
- New
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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In knowledge-based natural language generation, issues of formal knowledge representation meet with the linguistic problems of choosing the most appropriate verbalization in a particular situation of utterance. This work presents a new approach to linking the realms of lexical semantics and knowledge represented in a description logic. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 219 pages, biography. BIC Classification: UYQE; UYQL. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 14. Weight in Grams: 514. . 1999. Hardback. . . . . Books ship from the US and Ireland.
Seller Inventory # V9780792384199
- Title
- Lexical Semantics and Knowledge Representation in Multilingual Text Generation
- Author
- Stede, Manfred
- Publisher
- Kluwer Academic Publishers
- Publication year
- 1999
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0792384199
- ISBN 13
- 9780792384199
- Series
- Book 89 of 260: The Springer International Series in Engineering and Computer Science
Lexical Semantics and Knowledge Representation in Multilingual Text Generation develops the means for systematically deriving a set of paraphrases from the same underlying representation with the emphasis on events and verb meaning. Furthermore, the same mapping mechanism is used to achieve multilingual generation: English and German output are produced in parallel, on the basis of an adequate division between language-neutral and language-specific (lexical and grammatical) knowledge.
Lexical Semantics and Knowledge Representation in Multilingual Text Generation provides detailed insights into designing the representations and organizing the generation process. Readers with a background in artificial intelligence, cognitive science, knowledge representation, linguistics, or natural language processing will find a model of language production that can be adapted to a variety of purposes.
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Review
Computational Linguistics, 26:2
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