Wonnacott, Elizabeth and Perfors, Amy (2009) Constraining generalisation in artificial language learning : children are rational too. In: 22nd Annual CUNY conference on human sentence processing, California, Davis, USA, 26-28 Mar 2009

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Abstract

Successful language acquisition involves generalization, but learners must balance this against the acquisition of lexical constraints. Examples occur throughout language. For example, English native speakers know that certain noun-adjective combinations are impermissible (e.g. strong winds, high winds, strong breezes, *high breezes). Another example is the restrictions imposed by verb subcategorization, (e.g. I gave/sent/threw the ball to him; I gave/sent/threw him the ball; donated/carried/pushed the ball to him; * I donated/carried/pushed him the ball). Such lexical
exceptions have been considered problematic for acquisition: if learners generalize abstract patterns
to new words, how do they learn that certain specific combinations are restricted? (Baker, 1979).
Certain researchers have proposed domain-specific procedures (e.g. Pinker, 1989 resolves verb subcategorization in terms of subtle semantic distinctions). An alternative approach is that learners are
sensitive to distributional statistics and use this information to make inferences about when
generalization is appropriate (Braine, 1971).
A series of Artificial Language Learning experiments have demonstrated that adult learners can utilize
statistical information in a rational manner when determining constraints on verb argument-structure
generalization (Wonnacott, Newport & Tanenhaus, 2008). The current work extends these findings to
children in a different linguistic domain (learning relationships between nouns and particles). We also
demonstrate computationally that these results are consistent with the predictions of domain-general
hierarchical Bayesian model (cf. Kemp, Perfors & Tenebaum, 2007).

Item Type:	Conference Item (Poster)
Subjects:	B Philosophy. Psychology. Religion > BF Psychology P Language and Literature > PM Hyperborean, Indian, and Artificial languages
Divisions:	Faculty of Science > Psychology
Library of Congress Subject Headings (LCSH):	Languages, Artificial -- Study and teaching -- Psychological aspects, Language acquisition, Language acquisition -- Age factors, Psycholinguistics
Official Date:	2009
Dates:	Date Event 2009 UNSPECIFIED
Date of first compliant deposit:	1 August 2016
Status:	Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Poster
Title of Event:	22nd Annual CUNY conference on human sentence processing
Type of Event:	Conference
Location of Event:	California, Davis, USA
Date(s) of Event:	26-28 Mar 2009

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