LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words

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dc.contributor.author Shafaei-Bajestan, Elnaz
dc.contributor.author Moradipour-Tari, Masoumeh
dc.contributor.author Baayen, R. Harald
dc.date.accessioned 2023-10-10T13:16:10Z
dc.date.available 2023-10-10T13:16:10Z
dc.date.issued 2023
dc.identifier.issn 2327-3798
dc.identifier.uri http://hdl.handle.net/10900/146130
dc.language.iso en de_DE
dc.publisher Routledge Journals, Taylor & Francis Ltd de_DE
dc.relation.uri http://dx.doi.org/10.1080/23273798.2021.1954207 de_DE
dc.subject.ddc 150 de_DE
dc.subject.ddc 570 de_DE
dc.subject.ddc 610 de_DE
dc.subject.ddc 800 de_DE
dc.title LDL-AURIS: a computational model, grounded in error-driven learning, for the comprehension of single spoken words de_DE
dc.type Article de_DE
utue.quellen.id 20230619000000_02189
utue.publikation.seiten 509-536 de_DE
utue.personen.roh Shafaei-Bajestan, Elnaz
utue.personen.roh Moradipour-Tari, Masoumeh
utue.personen.roh Uhrig, Peter
utue.personen.roh Baayen, R. Harald
dcterms.isPartOf.ZSTitelID Language Cognition and Neuroscience de_DE
dcterms.isPartOf.ZS-Issue 4 de_DE
dcterms.isPartOf.ZS-Volume 38 de_DE
utue.fakultaet 05 Philosophische Fakultät de_DE


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