Document Detail


Explaining quantitative variation in the rate of Optional Infinitive errors across languages: a comparison of MOSAIC and the Variational Learning Model.
MedLine Citation:
PMID:  20334719     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In this study, we use corpus analysis and computational modelling techniques to compare two recent accounts of the OI stage: Legate & Yang's (2007) Variational Learning Model and Freudenthal, Pine & Gobet's (2006) Model of Syntax Acquisition in Children. We first assess the extent to which each of these accounts can explain the level of OI errors across five different languages (English, Dutch, German, French and Spanish). We then differentiate between the two accounts by testing their predictions about the relation between children's OI errors and the distribution of infinitival verb forms in the input language. We conclude that, although both accounts fit the cross-linguistic patterning of OI errors reasonably well, only MOSAIC is able to explain why verbs that occur more frequently as infinitives than as finite verb forms in the input also occur more frequently as OI errors than as correct finite verb forms in the children's output.
Authors:
Daniel Freudenthal; Julian Pine; Fernand Gobet
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article     Date:  2010-03-25
Journal Detail:
Title:  Journal of child language     Volume:  37     ISSN:  1469-7602     ISO Abbreviation:  J Child Lang     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-04-27     Completed Date:  2010-07-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0425743     Medline TA:  J Child Lang     Country:  England    
Other Details:
Languages:  eng     Pagination:  643-69     Citation Subset:  IM    
Affiliation:
School of Psychology, University of Liverpool, Bedford Street SouthLiverpool, L69 7ZA, United Kingdom. D.Freudenthal@liverpool.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Child Language*
Computer Simulation*
Databases, Factual
Humans
Infant
Language*
Learning*
Linguistics*
Probability
Speech*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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