Learnability in Optimality Theory

Tesar, Bruce; Smolensky, Paul

ISBN 10: 0262201267 / ISBN 13: 9780262201261

Published by The MIT Press, 2000

About this Item

The MIT Press, 2000. VII+140 pages. New Hardcover. New DJ. 9.25"x6.0". be4X.

Seller Inventory # ABE-1710091819014

Bibliographic Details

• Title: Learnability in Optimality Theory
• Publisher: The MIT Press
• Publication Date: 2000
• Language: English
• ISBN 10: 0262201267
• ISBN 13: 9780262201261
• Binding: Hardcover
• Condition: New
• Dust Jacket Condition: New

About this title

Synopsis

Highlighting the close relationship between linguistic explanation and learnability, Bruce Tesar and Paul Smolensky examine the implications of Optimality Theory (OT) for language learnability.

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.

About the Author

Paul Smolensky is Professor of Cognitive Science at Johns Hopkins University. He was a leading member of the PDP connectionist research group, and is the recipient of the 2005 David E. Rumelhart Prize in Cognitive Science, which is awarded annually to an individual or collaborative team making a significant contribution to the formal analysis of human cognition.