Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13257)
Included in the following conference series:
Conference proceedings info: DLT 2022.
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About this book
This book constitutes the proceedings of the 26th International Conference on Developments in Language Theory, DLT 2022, which was held in Tampa, FL, USA, during May, 2022. The conference took place in an hybrid format with both in-person and online participation.
The 21 full papers included in these proceedings were carefully reviewed and selected from 32 submissions. The DLT conference series provides a forum for presenting current developments in formal languages and automata.
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Keywords
- artificial intelligence
- automata theory
- computational linguistics
- computer networks
- computer systems
- context free languages
- finite automata
- formal languages
- graph theory
- linguistics
- natural languages
- part of speech
- query languages
- regular languages
- semantics
- theoretical computer science
- translation (languages)
Table of contents (25 papers)
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Regular Papers
Other volumes
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Developments in Language Theory
Editors and Affiliations
Bibliographic Information
Book Title: Developments in Language Theory
Book Subtitle: 26th International Conference, DLT 2022, Tampa, FL, USA, May 9–13, 2022, Proceedings
Editors: Volker Diekert, Mikhail Volkov
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-05578-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Softcover ISBN: 978-3-031-05577-5Published: 09 May 2022
eBook ISBN: 978-3-031-05578-2Published: 08 May 2022
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVIII, 325
Number of Illustrations: 25 b/w illustrations, 14 illustrations in colour
Topics: Logics and Meanings of Programs, Mathematical Logic and Formal Languages, Mathematics of Computing, Information Systems and Communication Service, Logic in AI, Natural Language Processing (NLP)