Overview
- Presents the theoretical Framework for Analyzing Complex Linguistic Networks
- Advocates and promotes network models of linguistic systems that are both based on thorough mathematical models and substantiated in terms of linguistics
- Introduces a statistical network theory as a theoretical basis of linguistic network analysis across-the-board of the natural sciences and the humanities
Part of the book series: Understanding Complex Systems (UCS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
-
Front Matter
-
Cognition
-
Front Matter
-
-
Resources
-
Front Matter
-
Keywords
About this book
The aim of this book is to advocate and promote network models of linguistic systems that are both based on thorough mathematical models and substantiated in terms of linguistics. In this way, the book contributes first steps towards establishing a statistical network theory as a theoretical basis of linguistic network analysis the boarder of the natural sciences and the humanities. This book addresses researchers who want to get familiar with theoretical developments, computational models and their empirical evaluation in the field of complex linguistic networks. It is intended to all those who are interested in statistical models of linguistic systems from the point of view of network research. This includes all relevant areas of linguistics ranging from phonological, morphological and lexical networks on the one hand and syntactic, semantic and pragmatic networks on the other. In this sense, the volume concerns readers from many disciplines such as physics, linguistics, computer science and information science. It may also be of interest for the upcoming area of systems biology with which the chapters collected here share the view on systems from the point of view of network analysis.
Editors and Affiliations
Bibliographic Information
Book Title: Towards a Theoretical Framework for Analyzing Complex Linguistic Networks
Editors: Alexander Mehler, Andy Lücking, Sven Banisch, Philippe Blanchard, Barbara Job
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-662-47238-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2016
Hardcover ISBN: 978-3-662-47237-8Published: 21 July 2015
Softcover ISBN: 978-3-662-51262-3Published: 17 October 2016
eBook ISBN: 978-3-662-47238-5Published: 07 July 2015
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XXII, 343
Number of Illustrations: 52 b/w illustrations, 25 illustrations in colour
Topics: Complexity, Computational Linguistics, Applications of Graph Theory and Complex Networks, Natural Language Processing (NLP)