A neural network model of lexical organization
Author(s)
Bibliographic Information
A neural network model of lexical organization
（Continuum studies in theoretical linguistics）
Continuum Intl Pub Group, c2009
- : hardback
- : pbk.
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Note
Includes bibliographical references (p. [230]-234) and index
Description and Table of Contents
- Volume
-
: hardback ISBN 9781441111432
Description
This is an engaging study of the mental lexicon - the way in which the form and meaning of words is stored by speakers of specific languages. Fortescue attempts to narrow the gap between the results of experimental neurology and the concerns of theoretical linguistics in the area of lexical semantics. The prime goal as regards linguistic theory is to show how matters of lexical organization can be analysed and discussed within a neurologically informed framework that is both adaptable and constrained. It combines the perspectives of distributed network modelling and linguistic semantics, and draws upon the accruing evidence from neuroimaging studies as regards the cortical regions involved. It engages with a number of controversial current issues in both disciplines. This text is intended as a tool for linguists interested in psychological adequacy and the latest advances in Cognitive Science. It provides a principled means of distinguishing those semantic features required by a mental lexicon that have a direct bearing on grammar from those that do not. "A Neural Network Model of Lexical Organisation" is essential reading for researchers in neurolinguistics and lexical semantics.
"Continuum Studies in Theoretical Linguistics" publishes work at the forefront of present-day developments in the field. The series is open to studies from all branches of theoretical linguistics and to the full range of theoretical frameworks. Titles in the series present original research that makes a new and significant contribution and are aimed primarily at scholars in the field, but are clear and accessible, making them useful also to students, to new researchers and to scholars in related disciplines.
Table of Contents
- Part 1: The Basics
- Part 2: Applications
- Part 3: Cognitive Justification 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.
- Volume
-
: pbk. ISBN 9781441117915
Description
This is an engaging study of the mental lexicon: the way in which the form and meaning of words is stored by speakers of specific languages. Fortescue attempts to narrow the gap between the results of experimental neurology and the concerns of theoretical linguistics in the area of lexical semantics. The prime goal as regards linguistic theory is to show how matters of lexical organization can be analysed and discussed within a neurologically informed framework that is both adaptable and constrained. It combines the perspectives of distributed network modelling and linguistic semantics, and draws upon the accruing evidence from neuroimaging studies as regards the cortical regions involved. It engages with a number of controversial current issues in both disciplines. This text is intended as a tool for linguists interested in psychological adequacy and the latest advances in Cognitive Science. It provides a principled means of distinguishing those semantic features required by a mental lexicon that have a direct bearing on grammar from those that do not. A Neural Network Model of Lexical Organisation is essential reading for researchers in neurolinguistics and lexical semantics.
Table of Contents
- Part 1: The Basics
- 1. Introduction
- 1.1 The mental lexicon
- 1.2 The nature of the model
- 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.
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