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Exploring generalization using artificial language learning: comparing adult and child learners

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Wonnacott, Elizabeth (2014) Exploring generalization using artificial language learning: comparing adult and child learners. In: Evolang Xth International Conference on the Evolution Language, Vienna, Austria, Apr 14-17 2014 (Unpublished)

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Abstract

Successful language acquisition involves generalization, but learners must balance this against the acquisition of lexical constraints. Such learning has been considered problematic for theories of acquisition: if learners generalize abstract patterns to new words, how do they learn lexically-based exceptions? One approach claims that learners use distributional statistics to make inferences about when generalization is appropriate, a hypothesis which has recently received support from Artificial Language Learning experiments with adult learners. Since adult and child language learning may be different, it is essential to extend these results to child learners. This presentation will address this issue.

Item Type: Conference Item (Lecture)
Alternative Title: Generalisation over semantic cues in child and adult artificial language learning
Divisions: Faculty of Science, Engineering and Medicine > Science > Psychology
Official Date: May 2014
Dates:
DateEvent
May 2014Available
Status: Peer Reviewed
Publication Status: Unpublished
Conference Paper Type: Lecture
Title of Event: Evolang Xth International Conference on the Evolution Language
Type of Event: Conference
Location of Event: Vienna, Austria
Date(s) of Event: Apr 14-17 2014
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