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Constraining generalisation in language learning : a rational learning approach

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Wonnacott, Elizabeth (2013) Constraining generalisation in language learning : a rational learning approach. [Dataset]

Research output not available from this repository, contact author.
Official URL: https://doi.org/10.5255/UKDA-SN-851081

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Abstract

Successful language acquisition relies on generalisation, yet many 'sensible' generalisations are actually ungrammatical (eg 'John carried me teddy.'). This grant explores how language learners balance generalisation and exception learning using the Artificial Language Learning (ALL) methodology, ie experiments where participants learn and are tested on novel experimenter-designed languages. Earlier research (Wonnacott et al. 2008) had used only adults - an important limitation given evidence for maturational differences in language learning (Newport, 1990). This grant therefore consists of a series of ALL experiments conducted with both child and adult participants, designed to address the following questions: (i) Do children, (like adults in previous studies) use distributional statistics eg word and construction frequency to determine which words should generalise/are exceptions? (ii) How do learners weigh such information against other sources of information such as semantics (eg if words with similar meanings tend to behave similarly). (iii) Do these processes differ across adults and children? (iv) Are there any factors that predict the extent of generalisation/exception learning for individual learners (eg working memory)? The long-term goal is to shed light on why language learning is generally more successful when it begins in childhood and the loci of individual differences in learning.

Item Type: Dataset
Alternative Title: Data for Exploring generalization using artificial language learning : comparing adult and child learners
Divisions: Faculty of Science > Psychology
Type of Data: Experimental data
Publisher: Economic and Social Research Council
Official Date: 27 September 2013
Dates:
DateEvent
27 September 2013Published
13 July 2017Updated
Collection date:
Date fromDate to
16 January 201215 May 2013
Status: Not Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Copyright Holders: University of Warwick
Description:

Data record consists of a data file in .xlsx format.
These are experimentally collected data. Full methods can be seen in publications. Access to data is safeguarded according to the UK Data Service definition and requires a free UK Data Service registration to access.

RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
ES/F028717/2[ESRC] Economic and Social Research Councilhttp://dx.doi.org/10.13039/501100000269
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  • Related item in WRAP
Contributors:
ContributionNameContributor ID
Contact PersonWonnacott, Elizabeth48569

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