Memory-based language processing

✍ Scribed by Daelemans W., Van den Bosch A.

Publisher: CUP
Year: 2005
Tongue: English
Leaves: 199
Series: Studies in Natural Language Processing
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

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