Overview
- Provides a useful and comprehensive didactic toolbox: conceptual maps, diagrams, synoptic tables, etc.
- Includes indexes and references for a safe and quick navigation through the text
- Attempts to bridge hard sciences and humanities by carefully introducing adequate vocabulary
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Morphogenesis (LECTMORPH)
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Table of contents (10 chapters)
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Complexity and Linguistic Theory: Epistemological Questions
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Complexity, Semiotics and Enunciation Theory
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Linguistic Complexity: Physics, Computation and Biology
Keywords
About this book
This contributed volume explores the achievements gained and the remaining puzzling questions by applying dynamical systems theory to the linguistic inquiry. In particular, the book is divided into three parts, each one addressing one of the following topics:
1) Facing complexity in the right way: mathematics and complexity
2) Complexity and theory of language
3) From empirical observation to formal models: investigation of specific linguistic phenomena, like enunciation, deixis, or the meaning of the metaphorical phrases
Editors and Affiliations
Bibliographic Information
Book Title: Language in Complexity
Book Subtitle: The Emerging Meaning
Editors: Francesco La Mantia, Ignazio Licata, Pietro Perconti
Series Title: Lecture Notes in Morphogenesis
DOI: https://doi.org/10.1007/978-3-319-29483-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-29481-0Published: 27 July 2016
Softcover ISBN: 978-3-319-80583-2Published: 31 May 2018
eBook ISBN: 978-3-319-29483-4Published: 16 July 2016
Series ISSN: 2195-1934
Series E-ISSN: 2195-1942
Edition Number: 1
Number of Pages: XXVI, 199
Number of Illustrations: 6 b/w illustrations, 12 illustrations in colour
Topics: Complexity, Computational Linguistics, Natural Language Processing (NLP), Mathematical Models of Cognitive Processes and Neural Networks, Neurosciences