xiii, 219pp + 8 unnumbered pages. Diagrams, figures, bibliography, index. Book has white paper cover with green text on covers and spine. Sunning on covers. Text is clear and unmarked. ; The Springer International Series in Engineering and Computer Science; 9.50 X 6.38 X 0.77 inches; 219 pages.

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Dati bibliografici

Titolo: Lexical Semantics and Knowledge Representation in Multilingual Text Generation
Editore: Kluwer Academic Publishers, Boston
Data di pubblicazione: 1999
Lingua: Inglese
ISBN 10: 0792384199
ISBN 13: 9780792384199
Rilegatura: Hardcover
Condizione: Good
Condizione della sovraccoperta: No Dust Jacket

Descrizione articolo

Riassunto

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. Lexical Semantics and Knowledge Representation in Multilingual Text Generation presents a new approach to systematically linking the realms of lexical semantics and knowledge represented in a description logic. For language generation from such abstract representations, lexicalization is taken as the central step: when choosing words that cover the various parts of the content representation, the principal decisions on conveying the intended meaning are made. A preference mechanism is used to construct the utterance that is best tailored to parameters representing the context.
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.

Recensione

`I recommend the book not only to researchers interested in text generation and in machine translation, but to everybody interested in the relationship between language-independent knowledge representation and language-specific ontologies... Stede's specific proposal is well defined and effective.'
Computational Linguistics, 26:2

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