What’s in a name? A large-scale computational study on how competition between names affects naming variation
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- dc.contributor.author Gualdoni, Eleonora
- dc.contributor.author Brochhagen, Thomas
- dc.contributor.author Mädebach, Andreas
- dc.contributor.author Boleda, Gemma
- dc.date.accessioned 2024-11-29T06:59:25Z
- dc.date.available 2024-11-29T06:59:25Z
- dc.date.issued 2023
- dc.description.abstract Different speakers often use different names to refer to the same entity (e.g., “woman” vs. “tennis player” for a given woman playing tennis). We study how visual typicality affects variation in naming behavior. We use a novel computational approach to estimate visual typicality from images, and analyze a large dataset containing naming data for realistic images. In contrast to previous work, we take into account the visual properties of both the object and the scene in which it appears; and factor in multiple candidate names. We show that visual typicality mediates competition between candidate names: high competition, induced by the relationship between the visual properties of the object and the visual representations associated to names, predicts higher naming variation. On a methodological level, we demonstrate the potential of using large-scale datasets with realistic images in conjunction with computational methods to shed light on how people name objects.
- dc.description.sponsorship The authors thank the editors Adrian Staub and Kathleen Rastle, the reviewers Fritz Günther and Marc Brysbaert, and the COLT research group for their useful feedback, as well as Carina Silberer for advice regarding Computer Vision models. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 715154) and Ministerio de Ciencia e Innovación and the Agencia Estatal de Investigación (Spain; ref. PID2020-112602GB-I00/MICIN/AEI/10.13039/501100011033). This paper reflects the authors’ view only, and the funding agencies are not responsible for any use that may be made of the information it contains.
- dc.format.mimetype application/pdf
- dc.identifier.citation Gualdoni E, Brochhagen T, Mädebach A, Boleda G. What’s in a name? A large-scale computational study on how competition between names affects naming variation. J Mem Lang. 2023 Dec;133:104459. DOI: 10.1016/j.jml.2023.104459
- dc.identifier.doi http://dx.doi.org/10.1016/j.jml.2023.104459
- dc.identifier.issn 0749-596X
- dc.identifier.uri http://hdl.handle.net/10230/68863
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Journal of Memory and Language. 2023 Dec;133:104459
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/715154
- dc.relation.projectID info:eu-repo/grantAgreement/EC/2PE/PID2020-112602GB-I00
- dc.rights © 2023 The Author(s). Published by Elsevier Inc.This is an open access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Object naming
- dc.subject.keyword Naming variation
- dc.subject.keyword Visual typicality
- dc.subject.keyword Object typicality
- dc.subject.keyword Context typicality
- dc.subject.keyword Computational method
- dc.title What’s in a name? A large-scale computational study on how competition between names affects naming variation
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion