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E-raamat: Nature of Rules, Regularities and Units in Language: A Network Model of the Language System and of Language Use

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Kreyer begins with the network model of language as postulated by R. Hudson and other linguists, but takes it a step further by arguing that the network of language mirrors the neurophysiology of the brain, in that the nodes and connections are closely modeled on what is known from nerve cells and their connections. He covers a cognitive plausible network model of the language system; units, classes, structures and rules--language data and linguistic modeling; "traditional" concepts and their representation in the network model; cognitive schemas; and language use and the network beyond grammar. Annotation ©2014 Book News, Inc., Portland, OR (booknews.com)
Acknowledgements vii
1 Introduction
1(7)
2 A cognitively plausible network model of the language system
8(65)
2.1 A cognitively plausible model
8(8)
2.1.1 A usage-based model
8(1)
2.1.2 A redundant-storage model
9(2)
2.1.3 A frequency-based model
11(1)
2.1.4 A comprehensive model
12(1)
2.1.5 An integrative model
13(1)
2.1.6 A hierarchical model
14(1)
2.1.7 A rank-permeability model
15(1)
2.2 A network model
16(57)
2.2.1 Network models in psychology and linguistics
16(8)
2.2.2 The present network model
24(1)
2.2.2.1 A glance at neurophysiological aspects
25(3)
2.2.2.2 Frequency
28(2)
2.2.2.3 Spreading activation
30(3)
2.2.2.4 If-then relations in the network
33(1)
2.2.2.5 Competition
34(10)
2.2.2.6 Distributed or local
44(2)
2.2.2.7 To be or not to be -- ISA and other relations in the network
46(6)
2.2.2.8 The inheritance of features
52(7)
2.2.2.9 The representation of sequence
59(4)
2.2.2.10 Learning -- changing network structures
63(4)
2.2.3 Notational conventions
67(6)
3 Units, classes, structures and rules -- language data and linguistic modelling
73(22)
3.1 From data to description
73(18)
3.2 From description to grammatical rules
91(4)
4 `Traditional' concepts and their representation in the network model
95(86)
4.1 Traditional descriptive and early generative concepts
95(11)
4.2 Applying the model to rules and units of grammar
106(75)
4.2.1 The formation and representation of classes
108(8)
4.2.2 Gradience in the network model
116(18)
4.2.3 Ambiguity, vagueness and polysemy
134(8)
4.2.4 The formation and representation of sequences and structures
142(16)
4.2.5 The representation of rules
158(9)
4.2.6 Rules and their instantiations: redundancy and related issues
167(10)
4.2.7 A network view on morphological productivity
177(4)
5 Cognitive schemas
181(47)
5.1 Schemas in psychology and linguistics
181(7)
5.2 Cognitive schemas in the network model
188(17)
5.2.1 Regular clausal constructions
188(11)
5.2.2 Idiosyncratic constructions and patterns
199(6)
5.3 Recurrent item strings
205(7)
5.4 Recurrent item strings in the network model
212(14)
5.4.1 Concrete fillers with no intervening material
213(4)
5.4.2 Abstract fillers in continuous strings
217(2)
5.4.3 Concrete and abstract fillers with intervening material
219(3)
5.4.4 The interaction of idiomaticity and productivity
222(4)
5.5 Frequency and other causes for entrenchment in the present network model
226(2)
6 Beyond grammar: language use and the network
228(37)
6.1 The nature of categories and its relevance for processing
228(5)
6.2 The exploitation of expectation
233(12)
6.3 Processing principles
245(17)
6.4 A note on garden paths and related issues
262(3)
7 Outlook and conclusion
265(4)
References 269(21)
Index 290
Rolf Kreyer, University of Bonn, Germany.