Analogical natural language processing
Daniel C. Jones · 1996
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 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.