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Focusing on the statistical techniques that underly speech recognition, the author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques.

The fifteen original contributions in Language and Space bring together the major lines of research and the most important theoretical viewpoints in the areas of psychology, linguistics, anthropology, and neuroscience, providing a much needed synthesis across these diverse domains.

This book is designed in part as a handbook to assist students and researchers in the choice and use of methods for investigating children's grammar.

Offers an integration of two major approaches, the symbolic-computational and the associative-connectionist.