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Sophia Burnett (United Kingdom) 



Associate Professor  



教育背景 Education Background

PhD CY Cergy Paris University. Language Science.

MA CY Cergy Paris University. Language Science.

BA (DU) Sorbonne Paris 1. Creative writing for film and television.

 

研究领域 Research Field

Embodiment (indexicality and enregisterment); social semiotics

Discourse analysis

Digital corpus linguistics

教授课程Courses Taught

Culture and society of anglophone countries

简短经历 Short Bio

Dr Sophia Burnett is Associate Professor of English in the School of International Studies at Wenzhou Business College. She is a language scientist and linguistic anthropologist whose research examines how humans and computational models use linguistic and semiotic resources to encode and decode embodiment and metapragmatic stance.

She holds a PhD in Language Sciences from CY Cergy Paris Université and, in 2026, was awarded the French National Qualification for appointment as Ma?tre de conférences in Language Sciences. Before joining Wenzhou Business College, she held teaching and research positions at Université de Toulouse and Université de Lorraine,  and has also taught at Sciences Po Paris and CY Cergy Paris Université. Dr Burrnett has presented her research at major international conferences in Europe, North America, and Asia, including NWAV51 at Queens College, CUNY, New York; the International Linguistic Association Conference at Rutgers University; HisPhonCog 2023 in Seoul; AFLiCo9 in Lyon; NWAV52 in Miami; and LingColl 2024 in Zurich.

Her recent publications in 2026 include Non-standard typography as performative protection: From indexicality to enregisterment. In Florina Zülli, Ronja Eggenschwiler & Christa Dürscheid (eds.), Sprachgebrauch und Sprachidentit?ten. Variationslinguistische Perspektiven. Tübingen: Narr Francke Attempto. 230–251; and Habeas Corpus: An exploration of authentic embodiment and ecology in a French contrastive corpus. In Sophia Burnett and Silvia Araujo (eds.), AI Linguistica Special Issue: The notion of authenticity in hybrid human/AI productions