A Computational Evaluation of Sentence Processing Deficits in Aphasia

DC FieldValueLanguage
dc.contributor.authorPatil, Umesh
dc.contributor.authorHanne, Sandra
dc.contributor.authorBurchert, Frank
dc.contributor.authorDe Bleser, Ria
dc.contributor.authorVasishth, Shravan
dc.date.accessioned2021-12-23T16:09:09Z-
dc.date.available2021-12-23T16:09:09Z-
dc.date.issued2016
dc.identifier.issn03640213
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/8636-
dc.description.abstractIndividuals with agrammatic Broca's aphasia experience difficulty when processing reversible non-canonical sentences. Different accounts have been proposed to explain this phenomenon. The Trace Deletion account (Grodzinsky, 1995, 2000, 2006) attributes this deficit to an impairment in syntactic representations, whereas others (e.g., Caplan, Waters, Dede, Michaud, & Reddy, 2007; Haarmann, Just, & Carpenter, 1997) propose that the underlying structural representations are unimpaired, but sentence comprehension is affected by processing deficits, such as slow lexical activation, reduction in memory resources, slowed processing and/or intermittent deficiency, among others. We test the claims of two processing accounts, slowed processing and intermittent deficiency, and two versions of the Trace Deletion Hypothesis (TDH), in a computational framework for sentence processing (Lewis & Vasishth, 2005) implemented in ACT-R (Anderson, Byrne, Douglass, Lebiere, & Qin, 2004). The assumption of slowed processing is operationalized as slow procedural memory, so that each processing action is performed slower than normal, and intermittent deficiency as extra noise in the procedural memory, so that the parsing steps are more noisy than normal. We operationalize the TDH as an absence of trace information in the parse tree. To test the predictions of the models implementing these theories, we use the data from a German sentencepicture matching study reported in Hanne, Sekerina, Vasishth, Burchert, and De Bleser (2011). The data consist of offline (sentence-picture matching accuracies and response times) and online (eye fixation proportions) measures. From among the models considered, the model assuming that both slowed processing and intermittent deficiency are present emerges as the best model of sentence processing difficulty in aphasia. The modeling of individual differences suggests that, if we assume that patients have both slowed processing and intermittent deficiency, they have them in differing degrees.
dc.language.isoen
dc.publisherWILEY
dc.relation.ispartofCOGNITIVE SCIENCE
dc.subjectAGRAMMATIC BROCAS APHASIA
dc.subjectAphasia
dc.subjectCHANCE PERFORMANCE
dc.subjectCognitive architecture
dc.subjectComputational modeling
dc.subjectEye movements
dc.subjectEYE-MOVEMENTS
dc.subjectIndividual differences
dc.subjectLEFT-HEMISPHERE
dc.subjectNon-canonical sentences
dc.subjectPsychology
dc.subjectPsychology, Experimental
dc.subjectREAL-TIME PRODUCTION
dc.subjectSEMANTIC DEMENTIA
dc.subjectSentence-picture matching
dc.subjectSYNTACTIC COMPREHENSION
dc.subjectTRACE-DELETION
dc.subjectWH-MOVEMENT
dc.subjectWORKING-MEMORY
dc.titleA Computational Evaluation of Sentence Processing Deficits in Aphasia
dc.typejournal article
dc.identifier.doi10.1111/cogs.12250
dc.identifier.isiISI:000369160400001
dc.description.volume40
dc.description.issue1
dc.description.startpage5
dc.description.endpage50
dc.contributor.orcid0000-0002-9491-7797
dc.contributor.orcid0000-0003-2027-1994
dc.contributor.orcid0000-0002-5470-1588
dc.contributor.orcid0000-0001-8656-9545
dc.contributor.orcid0000-0001-5911-5572
dc.contributor.researcheridJ-6068-2014
dc.identifier.eissn15516709
dc.publisher.place111 RIVER ST, HOBOKEN 07030-5774, NJ USA
dcterms.isPartOf.abbreviationCogn. Sci.
Show simple item record

Page view(s)

3
Last Week
0
Last month
0
checked on Apr 17, 2024

Google ScholarTM

Check

Altmetric