Hijacking limitations of working memory load to test for composition in language

dc.authorid0000-0003-0904-9399
dc.contributor.authorUllman, Michael T.
dc.contributor.authorBulut, Talat
dc.contributor.authorWalenski, Matthew
dc.date.accessioned2024-07-19T08:15:18Z
dc.date.available2024-07-19T08:15:18Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Dil ve Konuşma Terapisi Bölümü
dc.description.abstractAlthough language depends on storage and composition, just what is stored or (de)composed remains unclear. We leveraged working memory load limitations to test for composition, hypothesizing that decomposed forms should particularly tax working memory. We focused on a well-studied paradigm, English inflectional morphology. We predicted that (compositional) regulars should be harder to maintain in working memory than (non-compositional) irregulars, using a 3-back production task. Frequency, phonology, orthography, and other potentially confounding factors were controlled for. Compared to irregulars, regulars and their accompanying -s/-ing-affixed filler items yielded more errors. Underscoring the decomposition of only regulars, regulars yielded more bare-stem (e.g., walk) and stem affixation errors (walks/walking) than irregulars, whereas irregulars yielded more past-tense-form affixation errors (broughts/tolded). In line with previous evidence that regulars can be stored under certain conditions, the regular-irregular difference held specifically for phonologically consistent (not inconsistent) regulars, in particular for both low and high frequency consistent regulars in males, but only for low frequency consistent regulars in females. Sensitivity analyses suggested the findings were robust. The study further elucidates the computation of inflected forms, and introduces a simple diagnostic for linguistic composition.
dc.identifier.citationUllman, M. T., Bulut, T. ve Walenski, M. (2024). Hijacking limitations of working memory load to test for composition in language. Cognition, 251. http://dx.doi.org/10.1016/j.cognition.2024.105875
dc.identifier.doi10.1016/j.cognition.2024.105875
dc.identifier.issn0010-0277
dc.identifier.issn1873-7838
dc.identifier.pmid39018637
dc.identifier.scopus2-s2.0-85198544556
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.cognition.2024.105875
dc.identifier.urihttps://hdl.handle.net/20.500.12511/12735
dc.identifier.volume251
dc.identifier.wos001273237500001en_US
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorBulut, Talat
dc.language.isoen
dc.relation.ispartofCognitionen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectComposition
dc.subjectIrregular
dc.subjectLanguage
dc.subjectMorphology
dc.subjectRegular
dc.subjectWorking Memory
dc.titleHijacking limitations of working memory load to test for composition in language
dc.typeArticle

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