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Memory-Based Language Processing

Memory-Based Language Processing

$116.00

Part of Studies in Natural Language Processing

  • Date Published: October 2005
  • availability: In stock
  • format: Hardback
  • isbn: 9780521808903

$116.00
Hardback

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About the Authors
  • Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information.

    • The first comprehensive book on memory-based language processing
    • Combines theory with practice, backed up by examples and software on an accompanying web page
    • Summarizes more than ten years of articles and papers on the topic, and provides new extensions to the method
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    Product details

    • Date Published: October 2005
    • format: Hardback
    • isbn: 9780521808903
    • length: 198 pages
    • dimensions: 236 x 158 x 24 mm
    • weight: 0.45kg
    • availability: In stock
  • Table of Contents

    1. Memory-based learning in natural language processing
    2. Inspirations from linguistics and artificial intelligence
    3. Memory and similarity
    4. Application to morpho-phonology
    5. Application to shallow parsing
    6. Abstraction and generalization
    7. Extensions.

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    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

    If you are having problems accessing these resources please email cflack@cambridge.org

  • Authors

    Walter Daelemans, University of Antwerp, Linguistics Department
    Walter Daelemans is Professor of Computational Linguistics and AI in the Department of Linguistics, University of Antwerp.

    Antal van den Bosch, Universiteit van Tilburg
    Antal van den Bosch is Assistant Professor in the Department of Computational Linguistics and AI, Tilburg University.

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