This research topic of yours – is it a research topic at all? Using comparative interactional data for a fine-grained reanalysis of traditional concepts

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dc.contributor.author Ozerov, Pavel
dc.date.accessioned 2022-01-24T19:37:15Z
dc.date.available 2022-01-24T19:37:15Z
dc.date.issued 2021
dc.description.abstract This paper demonstrates how bottom-up research on interactional data offers the opportunity of disentangling presumably basic linguistic notions into smaller primitives. Using parallel case studies on interrogatives and left dislocations from two unrelated languages (Modern Hebrew and Anal Naga), the paper shows how avoiding restrictive definitions and recurrently expanding the set of examples results in a revision of concepts, taken for granted at the beginning of the study. The findings emphasise the need for channelling corpus-based research into an interactionally-informed examination of the metalanguage employed for the analysis. They illustrate how studying a research topic and questioning the validity of the concepts that underlie it are part of the same process.
dc.identifier.citation Ozerov, Pavel. 2021. This research topic of yours — Is it a research topic at all? Using comparative interactional data for a fine-grained reanalysis of traditional concepts. In Haig, Geoffrey & Schnell, Stefan & Seifart, Frank (eds.), Doing corpus-based typology with spoken language data: State of the art, 233–280. Honolulu, HI: University of Hawai'i Press.
dc.identifier.isbn 978-0-9979673-0-2
dc.identifier.uri http://hdl.handle.net/10125/74662
dc.publisher University of Hawai'i Press
dc.relation.ispartofseries LD&C Special Publication
dc.rights Creative Commons Attribution Non-Commercial Share-Alike Licence
dc.subject interactional linguistics
dc.subject topic
dc.subject question
dc.subject left dislocation
dc.title This research topic of yours – is it a research topic at all? Using comparative interactional data for a fine-grained reanalysis of traditional concepts
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LD&C Special Publication No. 25: Doing Corpus-Based Typology With Spoken Language Corpora