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  3. Memory-Based Language Processing
  • Cited by 141
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    • Publisher:
      Cambridge University Press
      Publication date:
      September 2009
      September 2005
      ISBN:
      9780511486579
      9780521808903
      9780521114455
      DOI:
      https://doi.org/10.1017/CBO9780511486579
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      0.46kg, 198 Pages
      Dimensions:
      (229 x 152 mm)
      Weight & Pages:
      0.3kg, 200 Pages
      • Series:
      Studies in Natural Language Processing
      Subjects:
      Computational Linguistics, Computer Science, Artificial Intelligence and Natural Language Processing, Language and Linguistics
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    • Selected: Digital
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    Series:
    Studies in Natural Language Processing
    Subjects:
    Computational Linguistics, Computer Science, Artificial Intelligence and Natural Language Processing, Language and Linguistics
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    Book description

    Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse 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. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.

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