Choice of classifier handshape in Catalan sign language: a corpus study

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• dc.contributor.author Zorzi, Giorgia
• dc.contributor.author Veiga Busto, Raquel
• dc.contributor.author Barberà, Gemma
• dc.contributor.author Navarrete-González, Alexandra
• dc.contributor.author Quer, Josep, 1965-
• dc.date.accessioned 2025-09-08T10:49:19Z
• dc.date.available 2025-09-08T10:49:19Z
• dc.date.issued 2025
• dc.description.abstract Classifier predicates are sign language modality specific constructions that are widely spread in all attested sign languages. Extended research has been devoted to the study of these structures, but many aspects related to their nature remain unclear. This article examines the factors that influence the choice of handshape in classifier predicates referring to anthropomorphic entities in Catalan Sign Language (LSC). We present the results of a corpus study investigating the choice between the 1- and the 2-handshape. Our findings indicate that the choice between these two handshapes is affected by the discourse status of the referent, whether the event encodes manner of motion and whether the action is (un)controlled by the moving referent. Moreover, our study shows that, in LSC, handshapes that are articulatory more complex (e.g. the 2-handshape with respect to the 1-handshape) are used to convey more detailed information about the events and the discourse referents. This accounts for the use of the 2-handshape when manner of motion, in addition to path, is expressed, when referents are maintained in the discourse and when controlled actions expressing the controlled movement of the body and the legs are conveyed.en
• dc.description.sponsorship This research has been partially possible thanks to the following financial support. We thank Western Norway University of Applied Sciences for the finantial support in making this publication Open Access. Zorzi acknowledges the support of the Centre for Advanced Study in Oslo, Norway, which funded and hosted Vadim Kimmelman s Young CAS Fellow research project “Whole-Entity Classifiers in Sign Languages: A Multiperspective Approach” during the academic years of 2022–2024; Veiga Busto acknowledges the Netherlands Organization for Scientific Research (NWO, grant number VI.C.201.014); Barberà, who is a Serra Húnter fellow, and Quer acknowledge the grant PID2020-119041GB-I00 funded by MICIU/AEI/10.13039/501100011033; Navarrete-González acknowledges the Spanish Ministry of Science, Innovation and Universities, the European Union “NextGenerationEU/PRTR” and the Spanish State Research Agency for the funding of the Juan de la Cierva fellowship (JDC2022-049289-I), and also the Basque Government through the BERC 2022-2025 program, and the Spanish State Research Agency through BCBL Severo Ochoa excellence accreditation CEX2020-001010/AEI/10.13039/501100011033.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Zorzi G, Veiga R, Barberà G, Navarrete-González A, Quer J. Choice of classifier handshape in Catalan Sign Language: a corpus study. Open Linguist. 2025 Jan;11(1):1-26. DOI: 10.1515/opli-2025-0051
• dc.identifier.doi http://dx.doi.org/10.1515/opli-2025-0051
• dc.identifier.issn 2300-9969
• dc.identifier.uri http://hdl.handle.net/10230/71144
• dc.language.iso eng
• dc.publisher De Gruyter
• dc.relation.ispartof Open Linguistics. 2025 Jan;11(1):1-26
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-119041GB-I00
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/CEX2020-001010
• dc.rights © 2025 the author(s), published by De Gruyter. This work is licensed under the Creative Commons Attribution 4.0 International License.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Catalan Sign Languageen
• dc.subject.keyword Classifier predicatesen
• dc.subject.keyword Manneren
• dc.subject.keyword Discourse statusen
• dc.subject.keyword (Un)controlled actionsen
• dc.subject.keyword Markednessen
• dc.title Choice of classifier handshape in Catalan sign language: a corpus studyen
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion