@inproceedings{forcada-etal-2022-multitrainmt,
title = "{M}ultitrai{NMT} Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)",
author = "Forcada, Mikel L. and
S{\'a}nchez-Gij{\'o}n, Pilar and
Kenny, Dorothy and
S{\'a}nchez-Mart{\'\i}nez, Felipe and
Ortiz, Juan Antonio P{\'e}rez and
Superbo, Riccardo and
S{\'a}nchez, Gema Ram{\'\i}rez and
Torres-Hostench, Olga and
Rossi, Caroline",
editor = {Moniz, Helena and
Macken, Lieve and
Rufener, Andrew and
Barrault, Lo{\"\i}c and
Costa-juss{\`a}, Marta R. and
Declercq, Christophe and
Koponen, Maarit and
Kemp, Ellie and
Pilos, Spyridon and
Forcada, Mikel L. and
Scarton, Carolina and
Van den Bogaert, Joachim and
Daems, Joke and
Tezcan, Arda and
Vanroy, Bram and
Fonteyne, Margot},
booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2022",
address = "Ghent, Belgium",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2022.eamt-1.35",
pages = "291--292",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)
%A Forcada, Mikel L.
%A Sánchez-Gijón, Pilar
%A Kenny, Dorothy
%A Sánchez-Martínez, Felipe
%A Ortiz, Juan Antonio Pérez
%A Superbo, Riccardo
%A Sánchez, Gema Ramírez
%A Torres-Hostench, Olga
%A Rossi, Caroline
%Y Moniz, Helena
%Y Macken, Lieve
%Y Rufener, Andrew
%Y Barrault, Loïc
%Y Costa-jussà, Marta R.
%Y Declercq, Christophe
%Y Koponen, Maarit
%Y Kemp, Ellie
%Y Pilos, Spyridon
%Y Forcada, Mikel L.
%Y Scarton, Carolina
%Y Van den Bogaert, Joachim
%Y Daems, Joke
%Y Tezcan, Arda
%Y Vanroy, Bram
%Y Fonteyne, Margot
%S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
%D 2022
%8 June
%I European Association for Machine Translation
%C Ghent, Belgium
%F forcada-etal-2022-multitrainmt
%X 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.
%U https://aclanthology.org/2022.eamt-1.35
%P 291-292
Markdown (Informal)
[MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)](https://aclanthology.org/2022.eamt-1.35) (Forcada et al., EAMT 2022)
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.