MultiTraiNMT: Training Materials to Approach Neural Machine Translation from Scratch

Prompsit Language Engineering, Spain, Gema Ramírez-Sánchez, Juan Antonio Pérez-Ortiz, Universitat d'Alacant, Spain, Felipe Sánchez-Martínez, Universitat d'Alacant, Spain, Caroline Rossi, Université Grenoble-Alpes, France, Dorothy Kenny, Riccardo Superbo, KantanMT.com, Ireland, Pilar Sánchez-Gijón, Universitat Autònoma de Barcelona, Spain, Olga Torres-Hostench, Universitat Autònoma de Barcelona, Spai · 2021

The aim of the MultiTraiNMT Erasmus+ project is to develop an open innovative syllabus in neural machine translation (NMT) for language learners and translators as multilingual citizens.Machine translation is seen as a resource to provide support to citizens when trying to acquire and develop language skills, provided they are given informed and critical training.Machine translation would thus help tackle the mismatch between the EU aim of having multilingual citizens who speak at least two foreign languages and the current situation in which they generally fall far short of this objective.The training materials consist of an open-access coursebook, an open-source NMT web application (MutNMT) for training purposes and corresponding activities.

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