%0 Conference Proceedings %T Re-design of the Machine Translation Training Tool (MT3) %A Estrella, Paula %A Cuenca, Emiliano %A Bruno, Laura %A Mutal, Jonathan %A Girletti, Sabrina %A Volkart, Lise %A Bouillon, Pierrette %Y Martins, André %Y Moniz, Helena %Y Fumega, Sara %Y Martins, Bruno %Y Batista, Fernando %Y Coheur, Luisa %Y Parra, Carla %Y Trancoso, Isabel %Y Turchi, Marco %Y Bisazza, Arianna %Y Moorkens, Joss %Y Guerberof, Ana %Y Nurminen, Mary %Y Marg, Lena %Y Forcada, Mikel L. %S Proceedings of the 22nd Annual Conference of the European Association for Machine Translation %D 2020 %8 November %I European Association for Machine Translation %C Lisboa, Portugal %F estrella-etal-2020-design %X 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. %U https://aclanthology.org/2020.eamt-1.40 %P 375-382