Date of Degree

2010

Document Type

Dissertation

Degree Name

Ph.D.

Program

Psychology

Advisor(s)

Robert Melara

Committee Members

Vivien C. Tartter

James B. Marshall

Martin Chodorow

Heng Ji

Subject Categories

Developmental Psychology | Psychology

Abstract

At the computational level, language is often assumed to require both supervised and unsupervised learning. Although we have a certain understanding of these computational processes both biologically and behaviorally, our understanding of the environmental conditions under which language learning takes place falls short. I examine the semi-supervised learning paradigm as the most accurate computational description of the environmental conditions of lexical acquisition during language development. This paradigm is assessed for task learning and generalization and I argue that its real ecological validity and occasional improvements in performance over supervised learning make it an ideal candidate for modeling of language acquisition and other learning problems.

Comments

Digital reproduction from the UMI microform.

 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.