Universals of reference in discourse and grammar: Evidence from the Multi-CAST collection of spoken corpora
dc.contributor.author | Haig, Geoffrey | |
dc.contributor.author | Schnell, Stefan | |
dc.contributor.author | Schiborr, Nils Norman | |
dc.date.accessioned | 2022-01-24T19:37:25Z | |
dc.date.available | 2022-01-24T19:37:25Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Data from under-researched languages are now available in sufficient quantity and quality to feed into corpus-based approaches to language typology. In this paper we present Multi-CAST (Multilingual Corpus of Annotated Spoken Texts), a project designed to facilitate cross-linguistic comparison of naturalistic discourse across typologically diverse languages, which implements a purpose-built shared annotation scheme. After sketching the rationale and architecture of Multi-CAST, we illustrate the efficacy of the method with two case-studies: The first one investigates the rates of lexical (as opposed to pronominal and zero) realization of arguments in discourse across a sample of 15 typologically diverse languages. Our results reveal a remarkable and hitherto unnoticed uniformity in the density of lexical references, despite the lack of content control in the corpora. The second addresses the question of whether cross-linguistically attested regularities in morphosyntax can meaningfully be related to frequency effects in discourse. We find some support for frequency-based explanations, but our data also show that the frequency accounts leave several key questions unanswered. Overall, our findings underscore that research based on language documentation-derived corpus data, and in particular spoken language data, is not only possible, but in fact crucially necessary for testing frequency-based explanations, because these data stem from spoken language and typologically diverse languages. We also identify a number of epistemological and methodological shortcomings with our approach, and discuss some of the requirements for further innovation in areas of corpus building, corpus annotation, and typological comparability. | |
dc.identifier.citation | Haig, Geoffrey & Schnell, Stefan & Schiborr, Nils N. 2021. Universals of reference in discourse and grammar: Evidence from the Multi-CAST collection of spoken corpora. In Haig, Geoffrey & Schnell, Stefan & Seifart, Frank (eds.), Doing corpus-based typology with spoken language data: State of the art, 141–177. Honolulu, HI: University of Hawai'i Press. | |
dc.identifier.isbn | 978-0-9979673-0-2 | |
dc.identifier.uri | http://hdl.handle.net/10125/74660 | |
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 | corpus-based typology | |
dc.subject | universals of language use | |
dc.subject | discourse structure | |
dc.subject | referential choice | |
dc.subject | marking asymmetries | |
dc.title | Universals of reference in discourse and grammar: Evidence from the Multi-CAST collection of spoken corpora |
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