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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.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.issn 0749-596X
dc.identifier.uri http://hdl.handle.net/10230/68863
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.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Journal of Memory and Language. 2023 Dec;133:104459
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.uri http://creativecommons.org/licenses/by/4.0/
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.identifier.doi http://dx.doi.org/10.1016/j.jml.2023.104459
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.relation.projectID info:eu-repo/grantAgreement/EC/H2020/715154
dc.relation.projectID info:eu-repo/grantAgreement/EC/2PE/PID2020-112602GB-I00
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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