Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10950)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: FG 2018.
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Table of contents (7 papers)
Other volumes
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Formal Grammar 2018
Keywords
- Formal Languages
- Logic
- Grammars
- Artificial Intelligence
- Computational Linguistics
- Natural Language Processing
- Symbolic and Algebraic Manipulation
- Computer Science
- word recognition
- clustering agorithms
- copying
- phonology
- fuzzy clustering
- speech perception
- phonetic
- dyslexia
- fuzzy sets
- fuzzy logic
- fuzzy systems
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
Bibliographic Information
Book Title: Formal Grammar 2018
Book Subtitle: 23rd International Conference, FG 2018, Sofia, Bulgaria, August 11-12, 2018, Proceedings
Editors: Annie Foret, Greg Kobele, Sylvain Pogodalla
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-57784-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2018
Softcover ISBN: 978-3-662-57783-7Published: 15 July 2018
eBook ISBN: 978-3-662-57784-4Published: 27 July 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 137
Number of Illustrations: 24 b/w illustrations
Topics: Mathematical Logic and Formal Languages, Data Mining and Knowledge Discovery, Natural Language Processing (NLP)