معرفی
Michela Tonti is a researcher specializing in French linguistics at the University of Bergamo, with extensive expertise in corpus linguistics, computer-assisted discourse analysis, and legal terminology. Her academic journey includes a PhD in Translation, Interpreting, and Intercultural Studies from the University of Bologna (2019), where she focused on brand names in everyday discourse.
Her research interests span multiple interconnected domains including corpus linguistics, computer-assisted discourse analysis, rhetoric and metaphor-based argumentation, referential semantics, commercial onomastics, and terminology studies with particular emphasis on neonymy in European law, accounting, and gender equality. Since 2020, she has expanded her work into neural translation through significant European projects.
Tonti's publication record demonstrates consistent evolution from traditional linguistic analysis toward cutting-edge AI applications in language processing. Her recent work (2023-2025) shows increasing focus on the intersection of artificial intelligence and inclusive language practices, particularly examining how systems like ChatGPT handle intralingual translation for gender-inclusive writing and legal terminology standardization across European languages.
- Winner of the 2019 SUSLLF prize for her monograph 'Le nom de marque dans le discours au quotidien: prisme lexiculturall et linguistique'
- Recipient of research funding through European and national projects focusing on multilingual AI systems
As project coordinator for the Italian and French language groups of the Empowering Multilingual Inclusive Communication (E-MIMIC) initiative, Tonti leads cross-institutional collaboration between the University of Bergamo, University of Bologna, and Polytechnic University of Turin. Her work bridges theoretical linguistics with practical AI applications, particularly in developing expert-annotated datasets for inclusive communication systems. She maintains active research partnerships with multiple Italian universities through the PRIN 2022 project framework.
