Lexical Semantics and Knowledge Representation in Multilingual Text Generation

  • Manfred Stede

Table of contents

  1. Front Matter
    Pages i-xv
  2. Manfred Stede
    Pages 1-7
  3. Manfred Stede
    Pages 9-32
  4. Manfred Stede
    Pages 33-42
  5. Manfred Stede
    Pages 43-63
  6. Manfred Stede
    Pages 85-120
  7. Manfred Stede
    Pages 121-139
  8. Manfred Stede
    Pages 163-180
  9. Manfred Stede
    Pages 181-192
  10. Manfred Stede
    Pages 193-208
  11. Back Matter
    Pages 209-219

About this book


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.


Extension artificial intelligence cognitive science description logic intelligence knowledge knowledge representation linguistics modeling natural language natural language processing semantics

Authors and affiliations

  • Manfred Stede
    • 1
  1. 1.Technische Universität BerlinGermany

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7359-9
  • Online ISBN 978-1-4615-5179-9
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site
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