MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)

Mikel L. Forcada, Pilar Sánchez-Gijón, Dorothy Kenny, Felipe Sánchez-Martínez, Juan Antonio Pérez Ortiz, Riccardo Superbo, Gema Ramírez Sánchez, Olga Torres-Hostench, Caroline Rossi


Abstract
The MultitraiNMT Erasmus+ project has developed an open innovative syl-labus in machine translation, focusing on neural machine translation (NMT) and targeting both language learners and translators. The training materials include an open access coursebook with more than 250 activities and a pedagogical NMT interface called MutNMT that allows users to learn how neural machine translation works. These materials will allow students to develop the technical and ethical skills and competences required to become informed, critical users of machine translation in their own language learn-ing and translation practice. The pro-ject started in July 2019 and it will end in July 2022.
Anthology ID:
2022.eamt-1.35
Volume:
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2022
Address:
Ghent, Belgium
Editors:
Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
291–292
Language:
URL:
https://aclanthology.org/2022.eamt-1.35
DOI:
Bibkey:
Cite (ACL):
Mikel L. Forcada, Pilar Sánchez-Gijón, Dorothy Kenny, Felipe Sánchez-Martínez, Juan Antonio Pérez Ortiz, Riccardo Superbo, Gema Ramírez Sánchez, Olga Torres-Hostench, and Caroline Rossi. 2022. MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu). In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 291–292, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):
MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu) (Forcada et al., EAMT 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.eamt-1.35.pdf