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Cognitive Science 32 (2008) 789834 Copyright C 2008 Cognitive Science Society, Inc. All rights reserved.
 

Summary: Cognitive Science 32 (2008) 789≠834
Copyright C 2008 Cognitive Science Society, Inc. All rights reserved.
ISSN: 0364-0213 print / 1551-6709 online
DOI: 10.1080/03640210801929287
A Computational Model of Early Argument
Structure Acquisition
Afra Alishahi, Suzanne Stevenson
Department of Computer Science, University of Toronto
Received 27 July 2006; received in revised form 5 November 2007; accepted 5 November 2007
Abstract
How children go about learning the general regularities that govern language, as well as keeping
track of the exceptions to them, remains one of the challenging open questions in the cognitive science
of language. Computational modeling is an important methodology in research aimed at addressing
this issue. We must determine appropriate learning mechanisms that can grasp generalizations from
examples of specific usages, and that exhibit patterns of behavior over the course of learning similar
to those in children. Early learning of verb argument structure is an area of language acquisition that
provides an interesting testbed for such approaches due to the complexity of verb usages. A range
of linguistic factors interact in determining the felicitous use of a verb in various constructions--
associations between syntactic forms and properties of meaning that form the basis for a number of
linguistic and psycholinguistic theories of language. This article presents a computational model for the

  

Source: Alishahi, Afra - Department of Computational Linguistics and Phonetics, Universitšt des Saarlandes
Stevenson, Suzanne - Department of Computer Science, University of Toronto

 

Collections: Computer Technologies and Information Sciences