AI-generated estimates of familiarity, concreteness, valence and arousal for over 100,000 Spanish words

Martínez Ruiz, Gonzalo ORCID: https://orcid.org/0000-0002-9125-6225, Conde Díaz, Javier ORCID: https://orcid.org/0000-0002-5304-0626, Reviriego Vasallo, Pedro ORCID: https://orcid.org/0000-0003-2540-5234 and Brysbaert, Marc ORCID: https://orcid.org/0000-0002-3645-3189 (2024). AI-generated estimates of familiarity, concreteness, valence and arousal for over 100,000 Spanish words. "Quarterly Journal of Experimental Psychology" ; p. 17470218241306694. https://doi.org/10.1177/17470218241306694.

Descripción

Título: AI-generated estimates of familiarity, concreteness, valence and arousal for over 100,000 Spanish words
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Quarterly Journal of Experimental Psychology
Fecha: Diciembre 2024
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos
Licencias Creative Commons: Ninguna

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Resumen

This study investigates whether estimates of familiarity, valence, arousal and concreteness based on artificial intelligence (AI) are useful alternatives to word counts and human ratings in Spanish. We replicate and extend previous findings in English and show that GPT-4o is effective in estimating these word features. Validity checks even suggest that AI-generated estimates sometimes outperform traditional measurements. The ability to generate AI estimates for large numbers of words at low cost simplifies the process of obtaining word features and provides a new resource for researchers working in Spanish. We provide Excel lists of the collected word features, which can be freely used for research and teaching.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
PID2022-136684OB-C21/C22
FUN4DATE
Sin especificar
Sin especificar

Más información

ID de Registro: 85140
Identificador DC: https://oa.upm.es/85140/
Identificador OAI: oai:oa.upm.es:85140
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10316891
Identificador DOI: 10.1177/17470218241306694
URL Oficial: https://journals.sagepub.com/doi/10.1177/174702182...
Depositado por: Javier Conde Díaz
Depositado el: 02 Dic 2024 09:01
Ultima Modificación: 15 Oct 2025 01:01