MultiTraiNMT: Training Materials to Approach Neural Machine Translation from Scratch

Abstract

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.

Data Augmentation with Translation Memories for Desktop Machine Translation Fine-tuning in 3 Language Pairs

“…Studies such as those of Doherty (2014), Martín Mor (2017), Ramírez-Sánchez et al (2021) and Kenny (2022) have highlighted the didactics of teaching MT to translators. Free and open-source platforms such as MTradumàtica 6 (for statistical MT) and MutNMT 7 (for NMT) have allowed translators to experiment with all steps of MT training in an experimental environment.…”

Supporting Non-Expert Users in Authoring Tasks for Learning Language and Culture

“…Over 40 content types are provided, and authored content can be easily reused. H5P has found favour with tertiary education institutions for its ability to support active learning (Singleton & Charlton, 2020;Wilkie et al, 2018), and among language teachers for the creation of teaching materials within the learning management system (Caballero & Alvarenga, n.d.) or as Open Educational Resources (OER) (Iannella & Marani, 2021;Ramírez-Sánchez et al, 2021).…”