Check nearby libraries
Buy this book
"Highlighting the close relationship between linguistic explanation and learnability, Bruce Tesar and Paul Smolensky examine the implications of Optimality Theory (OT) for language learnability. They show how the core principles of OT lead to the learning principle of constraint demotion, the basis for a family of algorithms that infer constraint rankings from linguistic forms.".
"Of primary concern to the authors are the ambiguity of the data received by the learner and the resulting interdependence of the core grammar and the structural analysis of overt linguistic forms. The authors argue that iterative approaches to interdependencies, inspired by work in statistical learning theory, can be successfully adapted to address the interdependencies of language learning. Both OT and Constraint Demotion play critical roles in their adaptation.
The authors support their findings both formally and through simulations. They also illustrate how their approach could be extended to other language learning issues, including subset relations and the learning of phonological underlying forms."--BOOK JACKET.
Check nearby libraries
Buy this book
Previews available in: English
Showing 3 featured editions. View all 3 editions?
Edition | Availability |
---|---|
1 |
aaaa
Libraries near you:
WorldCat
|
2 |
zzzz
Libraries near you:
WorldCat
|
3 |
zzzz
Libraries near you:
WorldCat
|
Book Details
Edition Notes
Includes bibliographical references (p. [133]-138) and index.
Classifications
The Physical Object
ID Numbers
Community Reviews (0)
Feedback?August 17, 2024 | Edited by ImportBot | import existing book |
July 11, 2024 | Edited by MARC Bot | import existing book |
December 4, 2010 | Edited by Open Library Bot | Added subjects from MARC records. |
April 28, 2010 | Edited by Open Library Bot | Linked existing covers to the work. |
December 8, 2009 | Created by ImportBot | add works page |