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Towards a theoretical framework for ...

Mehler, Alexander.

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Towards a theoretical framework for analyzing complex linguistic networks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Towards a theoretical framework for analyzing complex linguistic networks/ edited by Alexander Mehler ... [et al.].
other author:	Mehler, Alexander.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
Description:	xxii, 343 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction -- Part I Cognition -- Part II Topology -- Part III Syntax -- Part IV Dynamics -- Part V Resources.
Contained By:	Springer eBooks
Subject:	Computational linguistics - Network analysis. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-47238-5
ISBN:	9783662472385$q(electronic bk.)

Towards a theoretical framework for analyzing complex linguistic networks
Towards a theoretical framework for analyzing complex linguistic networks[electronic resource] /edited by Alexander Mehler ... [et al.]. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xxii, 343 p. :ill. (some col.), digital ;24 cm. - Understanding complex systems,1860-0832. - Understanding complex systems..

Introduction -- Part I Cognition -- Part II Topology -- Part III Syntax -- Part IV Dynamics -- Part V Resources.

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 statisticalmodels 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.

ISBN: 9783662472385$q(electronic bk.)

Standard No.: 10.1007/978-3-662-47238-5doiSubjects--Topical Terms:

2178954
Computational linguistics
--Network analysis.

LC Class. No.: P98.5.N48

Dewey Class. No.: 006.35

Towards a theoretical framework for analyzing complex linguistic networks
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490 1 $a Understanding complex systems, $x 1860-0832
505 0 $a Introduction -- Part I Cognition -- Part II Topology -- Part III Syntax -- Part IV Dynamics -- Part V Resources.
520 $a 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 statisticalmodels 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.
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