Memory-Based Language Processing (Paperback)

Walter Daelemans

ISBN 10: 0521114454 / ISBN 13: 9780521114455

Published by Cambridge University Press, Cambridge, 2010

About this Item

Paperback. 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. This book discusses the theory and practice of memory-based language processing - a machine learning and problem solving method for language technology - showing its comparative strengths over alternative methods of language modelling. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780521114455

Bibliographic Details

• Title: Memory-Based Language Processing (Paperback)
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2010
• Language: English
• ISBN 10: 0521114454
• ISBN 13: 9780521114455
• Binding: Paperback
• Condition: new

About this title

Synopsis

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.

About the Authors

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.