國立虎尾科技大學 |

Memory-based language processing /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Memory-based language processing // Walter Daelemans, Antal van den Bosch.
Author:	Daelemans, Walter,
other author:	Bosch, Antal van den,
Description:	1 online resource (vii, 189 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Computational linguistics. -
Online resource:	https://doi.org/10.1017/CBO9780511486579
ISBN:	9780511486579 (ebook)

Memory-based language processing /
Daelemans, Walter,

Memory-based language processing /Walter Daelemans, Antal van den Bosch. - 1 online resource (vii, 189 pages) :digital, PDF file(s). - Studies in natural language processing. - Studies in natural language processing..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Memory-based learning in natural language processing --1.

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.

ISBN: 9780511486579 (ebook)Subjects--Topical Terms:

555811
Computational linguistics.

LC Class. No.: P98 / .D24 2005

Dewey Class. No.: 006.35

Memory-based language processing /
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505 0 0 $g 1. $t Memory-based learning in natural language processing -- $g 2. $t Inspirations from linguistics and artificial intelligence -- $g 3. $t Memory and similarity -- $g 4. $t Application to morpho-phonology -- $g 5. $t Application to shallow parsing -- $g 6. $t Abstraction and generalization -- $g 7. $t Extensions.
520 $a 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.
650 0 $a Computational linguistics. $3 555811
650 0 $a Natural language processing (Computer science) $3 641811
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856 4 0 $u https://doi.org/10.1017/CBO9780511486579