PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Memory-based language processing
Walter Daelemans and Antal van den Bosch
(2005) Cambridge University Press , Cambridge, UK . ISBN 0521808901

Abstract

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. 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.

EPrint Type:Book
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:1384
Deposited By:Walter Daelemans
Deposited On:28 November 2005