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A Computational Approach to Identifying Cultural Keywords Across Languages.
Lim, Zheng Wei; Stuart, Harry; De Deyne, Simon; Regier, Terry; Vylomova, Ekaterina; Cohn, Trevor; Kemp, Charles.
Afiliación
  • Lim ZW; School of Computing and Information Systems, University of Melbourne.
  • Stuart H; School of Computing and Information Systems, University of Melbourne.
  • De Deyne S; Melbourne School of Psychological Sciences, University of Melbourne.
  • Regier T; Department of Linguistics and Cognitive Science Program, University of California, Berkeley.
  • Vylomova E; School of Computing and Information Systems, University of Melbourne.
  • Cohn T; School of Computing and Information Systems, University of Melbourne.
  • Kemp C; Melbourne School of Psychological Sciences, University of Melbourne.
Cogn Sci ; 48(1): e13402, 2024 01.
Article en En | MEDLINE | ID: mdl-38226686
ABSTRACT
Distinctive aspects of a culture are often reflected in the meaning and usage of words in the language spoken by bearers of that culture. Keywords such as душа (soul) in Russian, hati (heart) in Indonesian and Malay, and gezellig (convivial/cosy/fun) in Dutch are held to be especially culturally revealing, and scholars have identified a number of such keywords using careful linguistic analyses (Peeters, 2020b; Wierzbicka, 1990). Because keywords are expected to have different statistical properties than related words in other languages, we argue that a quantitative comparison of word usage across languages can help to identify cultural keywords. To support this claim, we describe a computational method that compares word frequencies across languages, and apply it to both linguistic corpora and word association data. The method identifies culturally specific words that range from "obvious" examples, such as Amsterdam in Dutch, to non-obvious yet independently proposed examples, such as hati (heart) in Indonesian. We show in addition that linguistic corpora and word association data provide converging evidence about culturally specific words. Our results therefore show how computational analyses and behavioral experiments can supplement the methods previously used by linguists to identify culturally salient words across languages.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lenguaje / Lingüística Límite: Humans Idioma: En Revista: Cogn Sci Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lenguaje / Lingüística Límite: Humans Idioma: En Revista: Cogn Sci Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos