Memory-Based Language Processing

by Walter Daelemans, Antal van den Bosch

Overview

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.

Product Details

ISBN-13:	9780521114455
Publisher:	Cambridge University Press
Publication date:	06/25/2009
Series:	Studies in Natural Language Processing
Edition description:	New Edition
Pages:	200
Product dimensions:	5.98(w) x 9.02(h) x 0.47(d)

About the Author

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

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

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.