Examining language entropy and cognitive performance: evidence from a diverse linguistic context

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Cambridge University Press

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Research on understanding the effects of language experiences upon executive control processes has turned away from static measures of language use to using more continuous measures such as proficiency, language switching and exposure. The present work utilizes language entropy, a measure that indexes the social and linguistic diversity of daily-life contexts (e.g., a classroom, cafeteria, home) of language use, to delineate the mechanisms through which contextual and social effects influence executive control. Results from existing studies utilizing entropy primarily examine bilingual contexts
however, this study focuses on multilingual university students in Ahmedabad, India. Participants (N = 56) provided entropy data from the Language History and Background Questionnaire and executive control measures from the AX-CP Task for proactive control and the n-back Task for working memory. Entropy measures proved very predictive for participants’ current language use patterns, but did not significantly predict any aspect of AX-CPT or n-back Task performance. Implications for context-specific stimulus categorization and the adaptive control hypothesis are discussed. © The Author(s), 2026. Published by Cambridge University Press.

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Beniwal, Urvi, & Singh, Divita (2026). Examining language entropy and cognitive performance: Evidence from a diverse linguistic context. Language and Cognition, 18. https://doi.org/10.1017/langcog.2026.10059

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