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Autor/inn/enMainela-Arnold, Elina; Evans, Julia L.
TitelDo Statistical Segmentation Abilities Predict Lexical-Phonological and Lexical-Semantic Abilities in Children with and without SLI?
QuelleIn: Journal of Child Language, 41 (2014) 2, S.327-351 (25 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0305-0009
DOI10.1017/S0305000912000736
SchlagwörterPhonemes; Child Language; Semantics; Correlation; Sequential Learning; Language Impairments; Phonology; Task Analysis; Predictor Variables; Vocabulary Development; Language Acquisition; Definitions; Memory; Brain Hemisphere Functions
AbstractThis study tested the predictions of the procedural deficit hypothesis by investigating the relationship between sequential statistical learning and two aspects of lexical ability, lexical-phonological and lexical-semantic, in children with and without specific language impairment (SLI). Participants included forty children (ages 8;5-12;3), twenty children with SLI and twenty with typical development. Children completed Saffran's statistical word segmentation task, a lexical-phonological access task (gating task), and a word definition task. Poor statistical learners were also poor at managing lexical-phonological competition during the gating task. However, statistical learning was not a significant predictor of semantic richness in word definitions. The ability to track statistical sequential regularities may be important for learning the inherently sequential structure of lexical-phonological, but not as important for learning lexical-semantic knowledge. Consistent with the procedural/declarative memory distinction, the brain networks associated with the two types of lexical learning are likely to have different learning properties. (As Provided).
AnmerkungenCambridge University Press. The Edinburgh Building, Shaftesbury Road, Cambridge, CB2 8RU, UK. Tel: 800-872-7423; Tel: 845-353-7500; Tel: +44-1223-326070; Fax: 845-353-4141; Fax: +44-1223-325150; e-mail: subscriptions_newyork@cambridge.org; Web site: http://www.cambridge.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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