A Neural Network Model of Lexical Organisation

Part 1: The Basics
1. Introduction
1.1 The mental lexicon
1.2 The nature of the model
2. Some sample word templates
2.1 A noun template
2.2 Nouns versus verbs
2.3 Other parts of speech
2.4 A "derived" word
3. The production and comprehension of simple sentences
4. Expansion to a complex sentence
4.1 Some new word types
4.2 Production of a complex sentence - and an inference
5. Further dimensions of the model
5.1 Relating event structures
5.2 Nominalizations and abstract nouns
5.3 Some loose ends
Summary of Part 1
Part 2: Applications
6. Semantic fields and lexical categories
7. Compositionality
7.1 Nominal composition
7.2 Verbal decomposition
7.3 More on causal derivation
7.4 Complex word meaning: a test case for compositionality
8. Constructions
9. Polysemy
9.1 Polysemy and context
9.2 An excursion into metaphor and metonymy
10. Some further questions of qualia
11. Extensions to languages of different morphological type
Summary of Part 2
Part 3: Cognitive Justification of the Model
12. The interfacing of grammar and lexicon
12.1 Grammar templates
12.2 The realization of grammatical and semantic features by call trees
12.3 How call trees and combination matrixes might function
13. The neural representation of context
14. Acquisition
15. Prospective conclusions
15.1 The justification for separating affordance levels
15.2 Potential (dis)confirmation of the model
Appendix 1: The relationship to Burnod's neurological model
Appendix 2: Paradigmatic features of English words
Appendix 3: Sample derivations
List of templates
Graphic conventions as first introduced
References
Index