Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10686)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): FG: International Conference on Formal Grammar
Conference proceedings info: FG 2017.
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Table of contents (9 papers)
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Front Matter
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Back Matter
About this book
The focus of papers are as follows:
- Formal and computational phonology, morphology, syntax, semantics and pragmatics
- Model-theoretic and proof-theoretic methods in linguistics
- Logical aspects of linguistic structure
- Constraint-based and resource-sensitive approaches to grammar
- Learnability of formal grammar
- Integration of stochastic and symbolic models of grammar
- Foundational, methodological and architectural issues in grammar and linguistics
- Mathematical foundations of statistical approaches to linguistic analysis
Editors and Affiliations
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IRISA, University of Rennes 1, Rennes, France
Annie Foret
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Department of Philosophy, Tilburg University, Tilburg, The Netherlands
Reinhard Muskens
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LORIA/Inria Nancy, Villers-les-Nancy, France
Sylvain Pogodalla
Bibliographic Information
Book Title: Formal Grammar
Book Subtitle: 22nd International Conference, FG 2017, Toulouse, France, July 22-23, 2017, Revised Selected Papers
Editors: Annie Foret, Reinhard Muskens, Sylvain Pogodalla
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-56343-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany 2018
Softcover ISBN: 978-3-662-56342-7Published: 10 January 2018
eBook ISBN: 978-3-662-56343-4Published: 05 January 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 157
Number of Illustrations: 41 b/w illustrations
Topics: Mathematical Logic and Formal Languages, Natural Language Processing (NLP), Natural Language Processing (NLP), Image Processing and Computer Vision, Computer Appl. in Social and Behavioral Sciences, Data Mining and Knowledge Discovery