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.
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ISBN-13
978-1-85728-218-4 (9781857282184)
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