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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/1082

Title: Simulating the Noun-Verb Asymmetry in the Productivity of Children’s Speech
Authors: Freudenthal, D
Pine, J M
Gobet, F
Keywords: syntactic categories
co-occurrence statistics
production
MOSAIC
computational modelling
syntax acquisition
conjoint context
frame
distributional analysis
Finch
Chater
Mintz
Publication Date: 2007
Publisher: Psychology Press
Citation: Freudenthal, D., Pine, J.M. & Gobet, F. 2007. Simulating the Noun-Verb Asymmetry in the Productivity of Children’s Speech. In R. L. Lewis, T. A. Polk, and J. E. Laird (eds.). Proceedings of the Eighth International Conference on Cognitive Modelling (pp. 109-114). Hove, UK: Psychology press
Abstract: Several authors propose that children may acquire syntactic categories on the basis of co-occurrence statistics of words in the input. This paper assesses the relative merits of two such accounts by assessing the type and amount of productive language that results from computing co-occurrence statistics over conjoint and independent preceding and following contexts. This is achieved through the implementation of these methods in MOSAIC, a computational model of syntax acquisition that produces utterances that can be directly compared to child speech, and has a developmental component (i.e. produces increasingly long utterances). It is shown that the computation of co-occurrence statistics over conjoint contexts or frames results in a pattern of productive speech that more closely resembles that displayed by language learning children. The simulation of the developmental patterning of children’s productive speech furthermore suggests two refinements to this basic mechanism: inclusion of utterance boundaries, and the weighting of frames for their lexical content.
URI: http://bura.brunel.ac.uk/handle/2438/1082
Appears in Collections:School of Social Sciences Research Papers
Psychology

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