Descripción del título
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
Monografía
monografia Rebiun17746512 https://catalogo.rebiun.org/rebiun/record/Rebiun17746512 cr c||||||||| 150707s2016 gw o 001 0 eng d 9783662472385 978-3-662-47238-5 10.1007/978-3-662-47238-5 doi UPVA 996884882403706 UAM 991007696914504211 UPM 991005676079104212 UCAR 991007917850904213 UR0400411 UPCT u569395 UAL. spa. UAL. rdc GPFC bicssc TEC000000 bisacsh 620 23 Towards a Theoretical Framework for Analyzing Complex Linguistic Networks edited by Alexander Mehler, Andy Lücking, Sven Banisch, Philippe Blanchard, Barbara Job Berlin, Heidelberg Springer Berlin Heidelberg Imprint: Springer 2016 Berlin, Heidelberg Berlin, Heidelberg Springer Berlin Heidelberg Imprint: Springer 1 recurso en línea 1 recurso en línea XXII, 343 p. 77 illus., 25 illus. in color XXII, 343 p. 77 illus., 25 illus. in color Understanding Complex Systems 1860-0832 Springer eBooks 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 Modo de acceso: World Wide Web Engineering Computational linguistics Physics Complexity, Computational Engineering Complexity Computational Linguistics Complex Networks Language Translation and Linguistics Libros electrónicos Recursos electrónicos Mehler, Alexander. editor Lücking, Andy. editor Banisch, Sven. editor Katerine, Philippe editor Job, Barbara. editor SpringerLink (Online service) Understanding Complex Systems 1860-0832