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

MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu) Mikel L. Forcada Universitat d’Alacant mlf@dlsi.ua.es Dorothy Kenny Dublin City University dorothy.kenny@dcu.ie Juan Antonio Pérez Ortiz Universitat d’Alacant japerez@dlsi.ua.es Gema Ramírez Sánchez Prompsit gramirez@prompsit.com Caroline Rossi Université Grenoble-Alpes caroline.rossi@univ-grenoble-al- pes.fr Pilar Sánchez-Gijón Universitat Autònoma de Barcelona pilar.sanchez.gijon@uab.cat Felipe Sánchez-Martínez Universitat d’Alacant fsanchez@dlsi.ua.es Riccardo Superbo KantanAI riccardos@kantanai.io Olga Torres-Hostench Universitat Autònoma de Barcelona Olga.torres.hostench@uab.cat Abstract The MultitraiNMT Erasmus+ project has developed an open innovative syllabus in machine translation, focusing on neural machine translation (NMT) and targeting both language learners and translators. The training materials include an open ac- cess coursebook with more than 250 activ- ities and a pedagogical NMT interface called MutNMT that allows users to learn how neural machine translation works. These materials will allow students to de- velop the technical and ethical skills and competences required to become in- formed, critical users of machine transla- tion in their own language learning and translation practice. The project started in July 2019 and it will end in July 2022. 1 The project MultitraiNMT consortium is formed by Universitat Autònoma de Barcelona, Universitat d'Alacant, Université Grenoble-Alpes and Dublin City University, together with Prompsit Language Engineering and Xcelerator Machine Translations. © 2022 The authors. This article is licensed under a Cre- ative Commons 3.0 licence, no derivative works, attribution, CCBY-ND. The project is currently supported by numerous associate partners, all of whom are interested in learning about the use of neural machine translation (NMT), and willing to adjust their teaching practices. MultitraiNMT invites higher education institutions and teachers of translation and second languages to join the project as associate partners to (i) use the project coursebook and associated activities in their classes; (ii) test the MutNMT educational platform and activities for managing NMT engines for didactic purposes and (iii) participate in any other training and/or research activity which fosters the development of machine translation skills in general. 2 The coursebook The open access coursebook addresses both the technical foundations of machine translation, and the ethical, societal and professional implications of this approach. It will soon be available from Language Science Press. The coursebook is organized in 9 chapters: (1) Multilingualism. (2) Introduction to machine translation. (3) How to choose a suitable MT system. Evaluation of machine translation quality. (4) How to prepare and select texts for machine translation. (5) How to deal with machine translation mistakes. Post- editing and error fixing. (6) Ethical aspects of machine translation related to the data workflow, sustainability, diversity and decision-making. (7) How neural machine translation works. (8) Custom neural machine translation and (9) Machine translation and language learning. 3 The course activities The project includes learning activities related to the coursebook and MutNMT that allow language learners and translators to learn about machine translation in general and especially about NMT. There are two types of activities. On the one hand, there are self-learning activities aimed at students working at their own pace; these are short-answer questions with immediate automatic feedback. On the other hand, there are …

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