DeMINT: Automated Language Debriefing for English Learners via AI Chatbot Analysis of Meeting Transcripts

Miquel Esplà-Gomis, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz


Abstract
The objective of the DeMINT project is to develop a conversational tutoring system aimed at enhancing non-native English speakers’ language skills through post-meeting analysis of the transcriptions of video conferences in which they have participated. This paper describes the model developed and the results obtained through a human evaluation conducted with learners of English as a second language.
Anthology ID:
2025.mtsummit-2.18
Volume:
Proceedings of Machine Translation Summit XX: Volume 2
Month:
June
Year:
2025
Address:
Geneva, Switzerland
Editors:
Pierrette Bouillon, Johanna Gerlach, Sabrina Girletti, Lise Volkart, Raphael Rubino, Rico Sennrich, Samuel Läubli, Martin Volk, Miquel Esplà-Gomis, Vincent Vandeghinste, Helena Moniz, Sara Szoc
Venue:
MTSummit
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
95–96
Language:
URL:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.18/
DOI:
Bibkey:
Cite (ACL):
Miquel Esplà-Gomis, Felipe Sánchez-Martínez, Víctor M. Sánchez-Cartagena, and Juan Antonio Pérez-Ortiz. 2025. DeMINT: Automated Language Debriefing for English Learners via AI Chatbot Analysis of Meeting Transcripts. In Proceedings of Machine Translation Summit XX: Volume 2, pages 95–96, Geneva, Switzerland. European Association for Machine Translation.
Cite (Informal):
DeMINT: Automated Language Debriefing for English Learners via AI Chatbot Analysis of Meeting Transcripts (Esplà-Gomis et al., MTSummit 2025)
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PDF:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.18.pdf