Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104955
DC FieldValueLanguage
dc.contributorDepartment of Chinese and Bilingual Studiesen_US
dc.creatorChen, Ben_US
dc.creatorHsu, YYen_US
dc.date.accessioned2024-03-15T07:50:29Z-
dc.date.available2024-03-15T07:50:29Z-
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10397/104955-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectInformation functionen_US
dc.subjectStructural primingen_US
dc.subjectThe ba constructionen_US
dc.titleA structural priming study of the information function of the Chinese ba constructionen_US
dc.typeConference Paperen_US
dc.identifier.spage486en_US
dc.identifier.epage497en_US
dc.identifier.volume14515en_US
dc.identifier.doi10.1007/978-981-97-0586-3_37en_US
dcterms.abstractMuch research on the function of the ba construction in Mandarin Chinese has been conducted. However, there is a controversy about the ba NP regarding whether it expresses a topic denotation, a focus denotation, or neither. To study its information function, the present study has adopted a structural priming paradigm in a self-paced reading experiment to investigate whether Mandarin native speakers’ reaction times (RTs) when reading ba sentences can be influenced after reading a priming sentence of the following three types: topic, focus, and subject-verb-object (SVO). The results revealed that the information conditions had a significant effect on the RT of processing the ba sentence (p < .001), while the RT for the ba NP in the condition of the priming focus sentences was significantly faster than the others. As priming effects occurred in the condition of priming focus sentences, processing the ba NP may be more similar to processing focus than to topic and canonical sentences in language comprehension.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2024, v. 14515, p. 486-497en_US
dcterms.isPartOfLecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics)en_US
dcterms.issued2024-
dc.identifier.eissn1611-3349en_US
dc.description.validate202403 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera2635-
dc.identifier.SubFormID47984-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2025-02-28en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Conference Paper
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Embargo End Date 2025-02-28
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