Kreyer The Nature of Rules, Regularities and Units in Language

A Network Model of the Language System and of Language Use
1. Auflage 2013
ISBN: 978-3-11-031871-5
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 51, 302 Seiten

Reihe: Cognitive Linguistics Research [CLR]ISSN

Comprehensive networks of language make use of structures that go beyond the basic associative connections that can be found in the brain. The present study is an attempt to provide an account of language that restricts itself to structures of a neurophysiological kind, i.e. simple nodes, excitatory and inhibitory connections.

Zielgruppe

Neurolinguists, Linguists and Brain Researchers in General.

Autoren/Hrsg.

Kreyer, Rolf

Fachgebiete

• Geisteswissenschaften Sprachwissenschaft Sprachwissenschaften Theoretische Linguistik
• Geisteswissenschaften Sprachwissenschaft Psycholinguistik, Neurolinguistik, Kognition

Inhaltsverzeichnis

1;Acknowledgements;7
2;1 Introduction;11
3;2 A cognitively plausible network model of the language system;18
3.1;2.1 A cognitively plausible model;18
3.1.1;2.1.1 A usage-based model;18
3.1.2;2.1.2 A redundant-storage model;19
3.1.3;2.1.3 A frequency-based model;21
3.1.4;2.1.4 A comprehensive model;22
3.1.5;2.1.5 An integrative model;23
3.1.6;2.1.6 A hierarchical model;24
3.1.7;2.1.7 A rank-permeability model;25
3.2;2.2 A network model;26
3.2.1;2.2.1 Network models in psychology and linguistics;26
3.2.2;2.2.2 The present network model;34
3.2.2.1;2.2.2.1 A glance at neurophysiological aspects;35
3.2.2.2;2.2.2.2 Frequency;38
3.2.2.3;2.2.2.3 Spreading activation;40
3.2.2.4;2.2.2.4 If-then relations in the network;43
3.2.2.5;2.2.2.5 Competition;44
3.2.2.6;2.2.2.6 Distributed or local;54
3.2.2.7;2.2.2.7 To be or not to be – ISA and other relations in the network;56
3.2.2.8;2.2.2.8 The inheritance of features;62
3.2.2.9;2.2.2.9 The representation of sequence;69
3.2.2.10;2.2.2.10 Learning - changing network structures;73
3.2.3;2.2.3 Notational conventions;77
4;3 Units, classes, structures and rules – language data and linguistic modelling;83
4.1;3.1 From data to description;83
4.2;3.2 From description to grammatical rules;101
5;4 ‘Traditional’ concepts and their representation in the network model;105
5.1;4.1 Traditional descriptive and early generative concepts;105
5.2;4.2 Applying the model to rules and units of grammar;116
5.2.1;4.2.1 The formation and representation of classes;118
5.2.2;4.2.2 Gradience in the network model;126
5.2.3;4.2.3 Ambiguity, vagueness and polysemy;144
5.2.4;4.2.4 The formation and representation of sequences and structures;152
5.2.5;4.2.5 The representation of rules;168
5.2.6;4.2.6 Rules and their instantiations: redundancy and related issues;177
5.2.7;4.2.7 A network view on morphological productivity;187
6;5 Cognitive schemas;191
6.1;5.1 Schemas in psychology and linguistics;191
6.2;5.2 Cognitive schemas in the network model;198
6.2.1;5.2.1 Regular clausal constructions;198
6.2.2;5.2.2 Idiosyncratic constructions and patterns;209
6.3;5.3 Recurrent item strings;215
6.4;5.4 Recurrent item strings in the network model;222
6.4.1;5.4.1 Concrete fillers with no intervening material;223
6.4.2;5.4.2 Abstract fillers in continuous strings;227
6.4.3;5.4.3 Concrete and abstract fillers with intervening material;229
6.4.4;5.4.4 The interaction of idiomaticity and productivity;232
6.5;5.5 Frequency and other causes for entrenchment in the present network model;236
7;6 Beyond grammar: language use and the network;238
7.1;6.1 The nature of categories and its relevance for processing;238
7.2;6.2 The exploitation of expectation;243
7.3;6.3 Processing principles;255
7.4;6.4 A note on garden paths and related issues;272
8;7 Outlook and conclusion;275
9;References;279
10;Index;300

Über Autor(innen)

Rolf Kreyer, University of Bonn, Germany.