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Grammatical Inference: Learning Automata and Grammars - Hardcover

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Synopsis

The problem of inducing, learning or inferring grammars has been studied for decades, but only in recent years has grammatical inference emerged as an independent field with connections to many scientific disciplines, including bio-informatics, computational linguistics and pattern recognition. This book meets the need for a comprehensive and unified summary of the basic techniques and results, suitable for researchers working in these various areas. In Part I, the objects of use for grammatical inference are studied in detail: strings and their topology, automata and grammars, whether probabilistic or not. Part II carefully explores the main questions in the field: What does learning mean? How can we associate complexity theory with learning? In Part III the author describes a number of techniques and algorithms that allow us to learn from text, from an informant, or through interaction with the environment. These concern automata, grammars, rewriting systems, pattern languages or transducers.

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Book Description

Grammatical inference connects with many scientific disciplines, including bio-informatics, computational linguistics and pattern recognition. This book meets the need for a comprehensive and unified summary of the basic techniques, suitable for researchers from a wide variety of fields as well as graduate students.

About the Author

Colin de la Higuera is Professor of Computer Science in the Laboratoire Hubert Curien at the Université Jean Monnet de Saint-Etienne.

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  • PublisherCambridge University Press
  • Publication date2010
  • ISBN 10 0521763169
  • ISBN 13 9780521763165
  • BindingHardcover
  • LanguageEnglish
  • Number of pages432
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