Re-design of the Machine Translation Training Tool (MT3)

Paula Estrella, Emiliano Cuenca, Laura Bruno, Jonathan Mutal, Sabrina Girletti, Lise Volkart, Pierrette Bouillon


Abstract
We believe that machine translation (MT) must be introduced to translation students as part of their training, in preparation for their professional life. In this paper we present a new version of the tool called MT3, which builds on and extends a joint effort undertaken by the Faculty of Languages of the University of Córdoba and Faculty of Translation and Interpreting of the University of Geneva to develop an open-source web platform to teach MT to translation students. We also report on a pilot experiment with the goal of testing the viability of using MT3 in an MT course. The pilot let us identify areas for improvement and collect students’ feedback about the tool’s usability.
Anthology ID:
2020.eamt-1.40
Volume:
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation
Month:
November
Year:
2020
Address:
Lisboa, Portugal
Editors:
André Martins, Helena Moniz, Sara Fumega, Bruno Martins, Fernando Batista, Luisa Coheur, Carla Parra, Isabel Trancoso, Marco Turchi, Arianna Bisazza, Joss Moorkens, Ana Guerberof, Mary Nurminen, Lena Marg, Mikel L. Forcada
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
375–382
Language:
URL:
https://aclanthology.org/2020.eamt-1.40
DOI:
Bibkey:
Cite (ACL):
Paula Estrella, Emiliano Cuenca, Laura Bruno, Jonathan Mutal, Sabrina Girletti, Lise Volkart, and Pierrette Bouillon. 2020. Re-design of the Machine Translation Training Tool (MT3). In Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, pages 375–382, Lisboa, Portugal. European Association for Machine Translation.
Cite (Informal):
Re-design of the Machine Translation Training Tool (MT3) (Estrella et al., EAMT 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.eamt-1.40.pdf