Analogical Natural Language Processing

by Daniel B. Jones

The use of examples as the basis for machine translation systems has been a major feature of the last decade's research. Developments in this fertile area are described in "analogical natural language processing" with a thorough discussion of their theoretical and practical implications. The book outlines the fundamental concepts which distinguish example-based (or analogical) processing from the traditional rule-based approach. New concepts such as "cloning" and "recombination" are introduced as processes unique to the new paradigm. Some of the new ideas are demonstrated in a series of practical computational experiments which further elucidate the book's central concepts and framework. This book is intended for postgraduate and research level in machine translation and computational linguistics.

First published February 1, 1996

About the author

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Daniel B. Jones, born in 1964.