Impaired Statistical Learning of Nonadjacent Dependencies in Adolescents with Specific Language Impairment

Being able to track dependencies between syntactic elements separated by other constituents is crucial for language acquisition and processing (e.g., in subject-noun/verb agreement). Although long assumed to require language-specific machinery, research on statistical learning has suggested that dom...

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Main Authors: Hsinjen Julie eHsu, J Bruce eTomblin, Morten H Christiansen
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-03-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00175/full
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spelling doaj-a403a91ab82c478ea039f036b94c75542020-11-24T23:51:08ZengFrontiers Media S.A.Frontiers in Psychology1664-10782014-03-01510.3389/fpsyg.2014.0017559090Impaired Statistical Learning of Nonadjacent Dependencies in Adolescents with Specific Language ImpairmentHsinjen Julie eHsu0J Bruce eTomblin1Morten H Christiansen2Morten H Christiansen3Morten H Christiansen4National Kaohsiung Normal UniversityUniversity of IowaCornell UniversityHaskins LaboratoriesUniversity of Southern DenmarkBeing able to track dependencies between syntactic elements separated by other constituents is crucial for language acquisition and processing (e.g., in subject-noun/verb agreement). Although long assumed to require language-specific machinery, research on statistical learning has suggested that domain-general mechanisms may support the acquisition of nonadjacent dependencies. In this study, we investigated whether individuals with specific language impairment (SLI)—who have problems with long-distance dependencies in language—also have problems with statistical learning of nonadjacent relations. The results confirmed this hypothesis, indicating that statistical learning may subserve the acquisition and processing of long-distance dependencies in natural language.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00175/fullvariabilityspecific language impairmentadolescentsartificial language learningnonadjacent dependencies
collection DOAJ
language English
format Article
sources DOAJ
author Hsinjen Julie eHsu
J Bruce eTomblin
Morten H Christiansen
Morten H Christiansen
Morten H Christiansen
spellingShingle Hsinjen Julie eHsu
J Bruce eTomblin
Morten H Christiansen
Morten H Christiansen
Morten H Christiansen
Impaired Statistical Learning of Nonadjacent Dependencies in Adolescents with Specific Language Impairment
Frontiers in Psychology
variability
specific language impairment
adolescents
artificial language learning
nonadjacent dependencies
author_facet Hsinjen Julie eHsu
J Bruce eTomblin
Morten H Christiansen
Morten H Christiansen
Morten H Christiansen
author_sort Hsinjen Julie eHsu
title Impaired Statistical Learning of Nonadjacent Dependencies in Adolescents with Specific Language Impairment
title_short Impaired Statistical Learning of Nonadjacent Dependencies in Adolescents with Specific Language Impairment
title_full Impaired Statistical Learning of Nonadjacent Dependencies in Adolescents with Specific Language Impairment
title_fullStr Impaired Statistical Learning of Nonadjacent Dependencies in Adolescents with Specific Language Impairment
title_full_unstemmed Impaired Statistical Learning of Nonadjacent Dependencies in Adolescents with Specific Language Impairment
title_sort impaired statistical learning of nonadjacent dependencies in adolescents with specific language impairment
publisher Frontiers Media S.A.
series Frontiers in Psychology
issn 1664-1078
publishDate 2014-03-01
description Being able to track dependencies between syntactic elements separated by other constituents is crucial for language acquisition and processing (e.g., in subject-noun/verb agreement). Although long assumed to require language-specific machinery, research on statistical learning has suggested that domain-general mechanisms may support the acquisition of nonadjacent dependencies. In this study, we investigated whether individuals with specific language impairment (SLI)—who have problems with long-distance dependencies in language—also have problems with statistical learning of nonadjacent relations. The results confirmed this hypothesis, indicating that statistical learning may subserve the acquisition and processing of long-distance dependencies in natural language.
topic variability
specific language impairment
adolescents
artificial language learning
nonadjacent dependencies
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2014.00175/full
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