The Nature of Rules, Regularities and Units in Language

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