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SENSE

Financiado

The Bilingual SEmaNtic SystEm (SENSE): Computational Assessment of Cross-linguis...

The Bilingual SEmaNtic SystEm (SENSE): Computational Assessment of Cross-linguistic Meaning Representation Across Cultures Growing evidence suggests lexical semantics is not universal, being shaped by culture, and translation equivalents may bear distinct meanings in each language. If so, how do bilingual brains juggle competing meaning representation... ver más

31/03/2026

UGent

306K€

Presupuesto del proyecto: 306K€

Líder del proyecto

UNIVERSITEIT GENT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 3 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-08-26

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

HORIZON-MSCA-2021-PF-01-01: MSCA Postdoctoral Fellowships 2021

I+D

Cerrada hace 3 años

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3 Participantes

UGent

306.42K€ | Lider

HONG KONG POLYTECHNIC UNIVER...

N.D. | Participante

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Últimas noticias

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

29-11-2024: CMVAMADRID En las últimas 48 horas el Organismo CMVAMADRID ha otorgado 37 concesiones

Duración del proyecto: 43 meses Fecha Inicio: 2022-08-26
Fecha Fin: 2026-03-31

Líder del proyecto

UNIVERSITEIT GENT

TRL 4-5

Presupuesto del proyecto 306K€

Descripción del proyecto Growing evidence suggests lexical semantics is not universal, being shaped by culture, and translation equivalents may bear distinct meanings in each language. If so, how do bilingual brains juggle competing meaning representations for translations? SENSE will investigate the impact knowing a second language has on the native language's semantic system across cultures. To do so, we will use two recent computational approaches: distributional semantic and word association models (obtained from linguistic corpora and free association data, respectively). Both methods have shown promising results in predicting human performance in semantic tasks, making them ideal candidates to inform psychological theories. Yet, which models better reflect human semantic representation is under debate. Further, few studies in semantic memory research have used these tools. While researchers have stressed the need to adopt these methodologies, these calls almost invariably have a monolingual scope, neglecting the pressing questions bilingualism poses on the nature of the semantic system. SENSE has three overarching goals. (1) To assess the role of culture in the construction of meaning by examining the conceptual structure of languages from different primary families spoken in culturally distinct societies (Spanish, Turkish, Chinese). English, the invariable second language, will also be studied. (2) To measure bilingualism's impact on semantic representation by investigating how L2 English semantic information integrates into the already established native language's semantic systems. (3) To test which models are better suited to account for meaning representation by comparing their predictability of human performance in a battery of semantic tasks. Overall, SENSE will make a solid contribution to understanding how culture and bilingualism shape the semantic system while helping to establish modern computational techniques in cognitive psychology research.

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