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:
- 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)
- PDF:
- https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.18.pdf