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Table of contents (13 chapters)
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Front Matter
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Back Matter
About this book
In this book new parsing technologies are collected that aim at attacking the problems of robustness and efficiency by exactly these techniques: the design of probabilistic grammars and efficient probabilistic parsing algorithms, approximation techniques applied to grammars and parsers to increase parsing efficiency, and techniques for underspecification and the integration of semantic information in the syntactic analysis to deal with massive ambiguity.
The book gives a state-of-the-art overview of current research and development in parsing technologies. In its chapters we see how probabilistic methods have entered the toolbox of computational linguistics in order to be applied in both parsing theory and parsing practice. The book is both a unique reference for researchers and an introduction to the field for interested graduate students.
Editors and Affiliations
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Tilburg University, The Netherlands
Harry Bunt
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University of Twente, Enschede, The Netherlands
Anton Nijholt
Bibliographic Information
Book Title: Advances in Probabilistic and Other Parsing Technologies
Editors: Harry Bunt, Anton Nijholt
Series Title: Text, Speech and Language Technology
DOI: https://doi.org/10.1007/978-94-015-9470-7
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2000
Hardcover ISBN: 978-0-7923-6616-4Published: 31 October 2000
Softcover ISBN: 978-90-481-5579-8Published: 05 December 2010
eBook ISBN: 978-94-015-9470-7Published: 09 March 2013
Series ISSN: 1386-291X
Series E-ISSN: 2542-9388
Edition Number: 1
Number of Pages: XV, 267
Topics: Computational Linguistics, Artificial Intelligence, User Interfaces and Human Computer Interaction, Natural Language Processing (NLP), Syntax