Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11647)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Conference series link(s): DLT: International Conference on Developments in Language Theory
Conference proceedings info: DLT 2019.
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Table of contents (23 papers)
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Front Matter
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Regular Papers
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Front Matter
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About this book
This book constitutes the proceedings of the 23rd International Conference on Developments in Language Theory, DLT 2019, held in Warsaw, Poland, in August 2019.
The 20 full papers presented together with three invited talks were carefully reviewed and selected from 30 submissions. The papers cover the following topics and areas: combinatorial and algebraic properties of words and languages; grammars, acceptors and transducers for strings, trees, graphics, arrays; algebraic theories for automata and languages; codes; efficient text algorithms; symbolic dynamics; decision problems; relationships to complexity theory and logic; picture description and analysis, polyominoes and bidimensional patterns; cryptography; concurrency; celluar automata; bio-inspired computing; quantum computing.Editors and Affiliations
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University of Warsaw, Warsaw, Poland
Piotrek Hofman, Michał Skrzypczak
Bibliographic Information
Book Title: Developments in Language Theory
Book Subtitle: 23rd International Conference, DLT 2019, Warsaw, Poland, August 5–9, 2019, Proceedings
Editors: Piotrek Hofman, Michał Skrzypczak
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-24886-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-24885-7Published: 10 July 2019
eBook ISBN: 978-3-030-24886-4Published: 24 July 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 319
Number of Illustrations: 548 b/w illustrations, 15 illustrations in colour
Topics: Logics and Meanings of Programs, Natural Language Processing (NLP), Database Management, Logic in AI, Mathematical Logic and Formal Languages, Software Engineering
Industry Sectors: Aerospace, Electronics, IT & Software, Telecommunications