Woman or tennis player? Visual typicality and lexical frequency affect variation in object naming
Speakers often use different names to refer to the same entity (e.g., “woman” vs. “tennis player”). We here explore factors that affect naming variation for visually presented objects. We analyze a large dataset of object names with realistic images and focus on two factors: visual typicality (of bo...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/56221 |
| Acceso en línea: | http://hdl.handle.net/10230/56221 |
| Access Level: | acceso abierto |
| Palabra clave: | object naming naming variation visual typicality object typicality context typicality lexical frequency |
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Woman or tennis player? Visual typicality and lexical frequency affect variation in object namingGualdoni, EleonoraBrochhagen, ThomasMädebach, AndreasBoleda, Gemmaobject namingnaming variationvisual typicalityobject typicalitycontext typicalitylexical frequencySpeakers often use different names to refer to the same entity (e.g., “woman” vs. “tennis player”). We here explore factors that affect naming variation for visually presented objects. We analyze a large dataset of object names with realistic images and focus on two factors: visual typicality (of both objects and the contexts they appear in) and name frequency. We develop a novel computational approach to estimate visual typicality, using image representations from Computer Vision models. Specifically, we compute visual typicality as similarity between the representation of an object/context to the average representation of other objects/contexts of its nominal class. In contrast to previous studies, we not only study the name used by most annotators for a given object (top name), but also the second most frequently used (alternative name). Our results show that the top name and the alternative name pull in opposite directions. People’s naming choices are more varied for objects that are less typical for their top name, or more typical for their alternative name. They are also more varied when the top name has relatively low frequency (for alternative names, the opposite effect may be present but the data are not conclusive). Context typicality instead does not show a general effect in our analysis. Overall, our results show that visual and lexical characteristics relating to name candidates beyond the top name are informative for predicting variability in object naming. On a methodological level, we demonstrate the potential of using large scale datasets with realistic images in conjunction with computational methods to inform models of human object naming.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 the Spanish Research Agency (ref. PID2020-112602GB-I00).Cognitive Science Society202320232022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/56221reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésProceedings of the Annual Meeting of the Cognitive Science Societyinfo:eu-repo/grantAgreement/EC/H2020/715154info:eu-repo/grantAgreement/ES/2PE/PID2020-112602GB-I00©2022 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY).https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/562212026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Woman or tennis player? Visual typicality and lexical frequency affect variation in object naming |
| title |
Woman or tennis player? Visual typicality and lexical frequency affect variation in object naming |
| spellingShingle |
Woman or tennis player? Visual typicality and lexical frequency affect variation in object naming Gualdoni, Eleonora object naming naming variation visual typicality object typicality context typicality lexical frequency |
| title_short |
Woman or tennis player? Visual typicality and lexical frequency affect variation in object naming |
| title_full |
Woman or tennis player? Visual typicality and lexical frequency affect variation in object naming |
| title_fullStr |
Woman or tennis player? Visual typicality and lexical frequency affect variation in object naming |
| title_full_unstemmed |
Woman or tennis player? Visual typicality and lexical frequency affect variation in object naming |
| title_sort |
Woman or tennis player? Visual typicality and lexical frequency affect variation in object naming |
| dc.creator.none.fl_str_mv |
Gualdoni, Eleonora Brochhagen, Thomas Mädebach, Andreas Boleda, Gemma |
| author |
Gualdoni, Eleonora |
| author_facet |
Gualdoni, Eleonora Brochhagen, Thomas Mädebach, Andreas Boleda, Gemma |
| author_role |
author |
| author2 |
Brochhagen, Thomas Mädebach, Andreas Boleda, Gemma |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
object naming naming variation visual typicality object typicality context typicality lexical frequency |
| topic |
object naming naming variation visual typicality object typicality context typicality lexical frequency |
| description |
Speakers often use different names to refer to the same entity (e.g., “woman” vs. “tennis player”). We here explore factors that affect naming variation for visually presented objects. We analyze a large dataset of object names with realistic images and focus on two factors: visual typicality (of both objects and the contexts they appear in) and name frequency. We develop a novel computational approach to estimate visual typicality, using image representations from Computer Vision models. Specifically, we compute visual typicality as similarity between the representation of an object/context to the average representation of other objects/contexts of its nominal class. In contrast to previous studies, we not only study the name used by most annotators for a given object (top name), but also the second most frequently used (alternative name). Our results show that the top name and the alternative name pull in opposite directions. People’s naming choices are more varied for objects that are less typical for their top name, or more typical for their alternative name. They are also more varied when the top name has relatively low frequency (for alternative names, the opposite effect may be present but the data are not conclusive). Context typicality instead does not show a general effect in our analysis. Overall, our results show that visual and lexical characteristics relating to name candidates beyond the top name are informative for predicting variability in object naming. On a methodological level, we demonstrate the potential of using large scale datasets with realistic images in conjunction with computational methods to inform models of human object naming. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022 2023 2023 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10230/56221 |
| url |
http://hdl.handle.net/10230/56221 |
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Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Proceedings of the Annual Meeting of the Cognitive Science Society info:eu-repo/grantAgreement/EC/H2020/715154 info:eu-repo/grantAgreement/ES/2PE/PID2020-112602GB-I00 |
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https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
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application/pdf application/pdf |
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Cognitive Science Society |
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Cognitive Science Society |
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reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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15.81155 |