Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/129012
DC FieldValueLanguage
dc.contributor.authorLissón Hernández, Paula Joséen_US
dc.contributor.authorPregla, Den_US
dc.contributor.authorNicenboim, Ben_US
dc.contributor.authorPaape, Den_US
dc.contributor.authorNederend, MLVen_US
dc.contributor.authorBurchert, Fen_US
dc.contributor.authorStadie, Nen_US
dc.contributor.authorCaplan, Den_US
dc.contributor.authorVasishth, Sen_US
dc.date.accessioned2024-02-20T19:07:24Z-
dc.date.available2024-02-20T19:07:24Z-
dc.date.issued2021en_US
dc.identifier.issn0364-0213en_US
dc.identifier.urihttp://hdl.handle.net/10553/129012-
dc.description.abstractCan sentence comprehension impairments in aphasia be explained by difficulties arising from dependency completion processes in parsing? Two distinct models of dependency completion difficulty are investigated, the Lewis and Vasishth (2005) activation-based model and the direct-access model (DA; McElree, 2000). These models' predictive performance is compared using data from individuals with aphasia (IWAs) and control participants. The data are from a self-paced listening task involving subject and object relative clauses. The relative predictive performance of the models is evaluated using k-fold cross-validation. For both IWAs and controls, the activation-based model furnishes a somewhat better quantitative fit to the data than the DA. Model comparisons using Bayes factors show that, assuming an activation-based model, intermittent deficiencies may be the best explanation for the cause of impairments in IWAs, although slowed syntax and lexical delayed access may also play a role. This is the first computational evaluation of different models of dependency completion using data from impaired and unimpaired individuals. This evaluation develops a systematic approach that can be used to quantitatively compare the predictions of competing models of language processing.en_US
dc.languageengen_US
dc.relation.ispartofCognitive Scienceen_US
dc.sourceCognitive Science [0364-0213], vol. 45 (2021), e12956en_US
dc.subject5701 Lingüística aplicadaen_US
dc.subject.otherAphasiaen_US
dc.subject.otherCue-based retrievalen_US
dc.subject.otherSentence processingen_US
dc.subject.otherBayesian cognitive modelingen_US
dc.subject.otherk-fold cross-validationen_US
dc.titleA Computational Evaluation of Two Models of Retrieval Processes in Sentence Processing in Aphasiaen_US
dc.typeArticleen_US
dc.identifier.doi10.1111/cogs.12956en_US
dc.identifier.pmid33877698-
dc.identifier.scopus2-s2.0-85104665383-
dc.identifier.isiWOS:000641841200017-
dc.contributor.orcid0000-0003-4750-2553-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.identifier.issue4-
dc.investigacionArtes y Humanidadesen_US
dc.utils.revisionen_US
dc.identifier.ulpgcNoen_US
dc.contributor.buulpgcBU-HUMen_US
dc.description.sjr1,202
dc.description.jcr2,617
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.ssciSSCI
dc.description.miaricds11,0
dc.description.erihplusERIH PLUS
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IATEXT: Variación y Cambio Lingüístico-
crisitem.author.deptIU de Análisis y Aplicaciones Textuales-
crisitem.author.deptDepartamento de Filología Moderna, Traducción e Interpretación-
crisitem.author.parentorgIU de Análisis y Aplicaciones Textuales-
crisitem.author.fullNameLissón Hernández, Paula José-
Appears in Collections:Artículos
Adobe PDF (1,12 MB)
Show simple item record

SCOPUSTM   
Citations

19
checked on Nov 17, 2024

WEB OF SCIENCETM
Citations

14
checked on Nov 17, 2024

Page view(s)

50
checked on Aug 3, 2024

Download(s)

14
checked on Aug 3, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.