Check nearby libraries
Buy this book
"The subject matter of this book is the mental lexicon, that is, the way in which the form and meaning of words is stored by speakers of specific languages. This book 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. The book 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. It will appeal to researchers in neurolinguistics and lexical semantics."--p. 4 of cover.
Check nearby libraries
Buy this book
Previews available in: English
Subjects
Neurolinguistics, Semantics, Linguistics, Lexicology, Discourse analysisShowing 2 featured editions. View all 2 editions?
Edition | Availability |
---|---|
1 |
aaaa
Libraries near you:
WorldCat
|
2
A neural network model of lexical organization
2009, Continuum Intl Pub Group
in English
1441111433 9781441111432
|
zzzz
Libraries near you:
WorldCat
|
Book Details
Edition Notes
Previously published in 2009.
Includes bibliographical references (230-234) and index.
Classifications
The Physical Object
ID Numbers
Community Reviews (0)
Feedback?History
- Created November 13, 2020
- 2 revisions
Wikipedia citation
×CloseCopy and paste this code into your Wikipedia page. Need help?
February 26, 2022 | Edited by ImportBot | import existing book |
November 13, 2020 | Created by MARC Bot | Imported from Library of Congress MARC record |