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Article: Extended statistical learning as an account for slow vocabulary growth

TitleExtended statistical learning as an account for slow vocabulary growth
Authors
Issue Date2012
Citation
Journal of Child Language, 2012, v. 39, n. 1, p. 105-129 How to Cite?
AbstractStokes (2010) compared the lexicons of English-speaking late talkers (LT) with those of their typically developing (TD) peers on neighborhood density (ND) and word frequency (WF) characteristics and suggested that LTs employed learning strategies that differed from those of their TD peers. This research sought to explore the cross-linguistic validity of this conclusion. The lexicons (production, not recognition) of 208 French-speaking two-year-old children were coded for ND and WF. Regression revealed that ND and WF together predicted 62% of the variance in vocabulary size, with ND and WF uniquely accounting for 53% and 9% of that variance respectively. Epiphenomenal findings were ruled out by comparison of simulated data sets with the actual data. A generalized Mann-Whitney test showed that children with small vocabularies had significantly higher ND values and significantly lower WF values than children with large vocabularies. An extended statistical learning theory is proposed to account for the findings. © Copyright Cambridge University Press 2011.
Persistent Identifierhttp://hdl.handle.net/10722/221437
ISSN
2015 Impact Factor: 1.174
2015 SCImago Journal Rankings: 0.787

 

DC FieldValueLanguage
dc.contributor.authorStokes, Stephanie F.-
dc.contributor.authorKern, Sophie-
dc.contributor.authorSantos, Christophe Dos-
dc.date.accessioned2015-11-19T03:36:59Z-
dc.date.available2015-11-19T03:36:59Z-
dc.date.issued2012-
dc.identifier.citationJournal of Child Language, 2012, v. 39, n. 1, p. 105-129-
dc.identifier.issn0305-0009-
dc.identifier.urihttp://hdl.handle.net/10722/221437-
dc.description.abstractStokes (2010) compared the lexicons of English-speaking late talkers (LT) with those of their typically developing (TD) peers on neighborhood density (ND) and word frequency (WF) characteristics and suggested that LTs employed learning strategies that differed from those of their TD peers. This research sought to explore the cross-linguistic validity of this conclusion. The lexicons (production, not recognition) of 208 French-speaking two-year-old children were coded for ND and WF. Regression revealed that ND and WF together predicted 62% of the variance in vocabulary size, with ND and WF uniquely accounting for 53% and 9% of that variance respectively. Epiphenomenal findings were ruled out by comparison of simulated data sets with the actual data. A generalized Mann-Whitney test showed that children with small vocabularies had significantly higher ND values and significantly lower WF values than children with large vocabularies. An extended statistical learning theory is proposed to account for the findings. © Copyright Cambridge University Press 2011.-
dc.languageeng-
dc.relation.ispartofJournal of Child Language-
dc.titleExtended statistical learning as an account for slow vocabulary growth-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1017/S0305000911000031-
dc.identifier.pmid21729369-
dc.identifier.scopuseid_2-s2.0-82955239850-
dc.identifier.volume39-
dc.identifier.issue1-
dc.identifier.spage105-
dc.identifier.epage129-
dc.identifier.eissn1469-7602-

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