Choice of classifier handshape in Catalan Sign Language: A corpus study

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.

Authors

Institutions

Publication Details

Journal
Open Linguistics
Published
2025-01-01
DOI
https://doi.org/10.1515/opli-2025-0051
Citations
1
Primary Topic
Hearing Impairment and Communication
Type
article
Field-Weighted Citation Impact
3.44

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Choice of classifier handshape in Catalan Sign Language: A corpus study

Raquel Veiga Busto, Alexandra Navarrete-González, Gemma Barberà, Giorgia Zorzi et al.
1 citations
Open Linguistics
Hearing Impairment and Communication
3.44
article

Choice of classifier handshape in Catalan Sign Language: A corpus study

Raquel Veiga Busto, Alexandra Navarrete-González, Gemma Barberà, Giorgia Zorzi, Josep Quer
article en
1 citations

Abstract

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.

Open LinguisticsVol. 11(1)
Institució Catalana de Recerca i Estudis Avançats (ES), Universitat Pompeu Fabra (ES), Western Norway University of Applied Sciences (NO), Universidad Rey Juan Carlos (ES), Basque Center on Cognition, Brain and Language (ES), University of Amsterdam (NL)
Ministerio de Ciencia, Innovación y Universidades, Høgskulen på Vestlandet, European Commission, Eusko Jaurlaritza, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Institut d'Estudis Catalans, Agencia Estatal de Investigación
Quality Education
Openalex Percentile: Top 9%
Hearing Impairment and Communication
3.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.