Memory-Based Language Processing
eBook - PDF

Memory-Based Language Processing

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Memory-Based Language Processing

About this book

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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Yes, you can access Memory-Based Language Processing by Walter Daelemans,Antal van den Bosch in PDF and/or ePUB format, as well as other popular books in Languages & Linguistics & Linguistics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Series-title
  4. Title
  5. Copyright
  6. Contents
  7. Preface
  8. Chapter 1 Memory-Based Learning in Natural Language Processing
  9. Chapter 2 Inspirations from linguistics and artificial intelligence
  10. Chapter 3 Memory and Similarity
  11. Chapter 4 Application to morpho-phonology
  12. Chapter 5 Application to shallow parsing
  13. Chapter 6 Abstraction and generalization
  14. Chapter 7 Extensions
  15. Bibliography
  16. Index