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Processing multiple non-adjacent dependencies: evidence from sequence learning

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dc.contributor.authorde Vries, Meinou H.
dc.contributor.authorPetersson, Karl Magnus
dc.contributor.authorGeukes, Sebastian
dc.contributor.authorZwitserlood, Pienie
dc.contributor.authorChristiansen, Morten H.
dc.date.accessioned2018-12-07T14:57:58Z
dc.date.available2018-12-07T14:57:58Z
dc.date.issued2012
dc.description.abstractProcessing non-adjacent dependencies is considered to be one of the hallmarks of human language. Assuming that sequence-learning tasks provide a useful way to tap natural-language-processing mechanisms, we cross-modally combined serial reaction time and artificial-grammar learning paradigms to investigate the processing of multiple nested (A(1)A(2)A(3)B(3)B(2)B(1)) and crossed dependencies (A(1)A(2)A(3)B(1)B(2)B(3)), containing either three or two dependencies. Both reaction times and prediction errors highlighted problems with processing the middle dependency in nested structures (A(1)A(2)A(3)B(3-)B(1)), reminiscent of the 'missing-verb effect' observed in English and French, but not with crossed structures (A(1)A(2)A(3)B(1-)B(3)). Prior linguistic experience did not play a major role: native speakers of German and Dutch-which permit nested and crossed dependencies, respectively-showed a similar pattern of results for sequences with three dependencies. As for sequences with two dependencies, reaction times and prediction errors were similar for both nested and crossed dependencies. The results suggest that constraints on the processing of multiple non-adjacent dependencies are determined by the specific ordering of the non-adjacent dependencies (i.e. nested or crossed), as well as the number of non-adjacent dependencies to be resolved (i. e. two or three). Furthermore, these constraints may not be specific to language but instead derive from limitations on structured sequence learning.
dc.description.sponsorshipNetherlands Organisation of Scientific Research (NWO) [446-08-014]; Max Planck Institute for Psycholinguistics; Donders Institute for Brain, Cognition and Behaviour; Fundacao para a Ciencia e Tecnologia (IBB/CBME, LA, FEDER/POCI) [PTDC/PSI-PCO/110734/2009]; Stockholm Brain Institute; Vetenskapsradet; Swedish Dyslexia Foundation; Hedlunds Stiftelse; Stockholm County Council (ALF, FoUU)
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1098/rstb.2011.0414
dc.identifier.issn0962-8436
dc.identifier.issn1471-2970
dc.identifier.urihttp://hdl.handle.net/10400.1/11793
dc.language.isoeng
dc.peerreviewedyes
dc.publisherRoyal Soc
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial grammar
dc.subjectMemory limitations
dc.subjectLanguage
dc.subjectSentences
dc.subjectConstraints
dc.subjectIntact
dc.subjectComprehensibility
dc.subjectPerformance
dc.subjectComplexity
dc.subjectRecursion
dc.titleProcessing multiple non-adjacent dependencies: evidence from sequence learning
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FPSI-PCO%2F110734%2F2009/PT
oaire.citation.endPage2076
oaire.citation.startPage2065
oaire.citation.titlePhilosophical Transactions of the Royal Society B-Biological Sciences
oaire.citation.volume367
oaire.fundingStream3599-PPCDT
person.familyNamePetersson
person.familyNameGeukes
person.givenNameKarl Magnus
person.givenNameSebastian
person.identifier13089
person.identifier112726
person.identifier.ciencia-id6D14-B1D1-1532
person.identifier.orcid0000-0002-8245-0392
person.identifier.orcid0000-0003-1693-2657
person.identifier.ridE-8188-2012
person.identifier.ridD-6222-2015
person.identifier.scopus-author-id7006470225
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
rcaap.typearticle
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