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The Negative Concord Mystery: Insights from a Language Model

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dc.contributor.authorO'Grady, William-
dc.contributor.authorZhang, Haopeng-
dc.contributor.authorLee, Miseon-
dc.date.accessioned2025-09-25T05:00:08Z-
dc.date.available2025-09-25T05:00:08Z-
dc.date.issued2025-08-
dc.identifier.issn2078-2489-
dc.identifier.issn2078-2489-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208824-
dc.description.abstractAn important recent development in the field of linguistics is the use of small language models to investigate language acquisition. Following this line of research, we investigate the mysterious appearance of 'negative concord' (e.g., I didn't do nothing) in the speech of children whose environment offers no exposure to patterns of this sort. Drawing on a 10-million-word version of the BabyLM corpus, we show that the preference for negative concord over patterns involving a single negative (e.g., I did nothing) can be traced to a cognitive force known as biuniqueness, whose effects will be examined with the help of data from both natural speech and a language model.-
dc.format.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)-
dc.titleThe Negative Concord Mystery: Insights from a Language Model-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3390/info16080710-
dc.identifier.scopusid2-s2.0-105014320732-
dc.identifier.wosid001557691800001-
dc.identifier.bibliographicCitationInformation (Switzerland), v.16, no.8, pp 1 - 10-
dc.citation.titleInformation (Switzerland)-
dc.citation.volume16-
dc.citation.number8-
dc.citation.startPage1-
dc.citation.endPage10-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClassesci-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.subject.keywordPlusNatural language processing systems-
dc.subject.keywordAuthorlanguage acquisition-
dc.subject.keywordAuthornegative concord-
dc.subject.keywordAuthorbiuniqueness-
dc.subject.keywordAuthorlanguage model-
dc.identifier.urlhttps://www.mdpi.com/2078-2489/16/8/710-
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