Latest Development in the FoTran Project - Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components

Raúl Vázquez, Michele Boggia, Alessandro Raganato, Niki A Loppi, Stig-Arne Grönroos, Jörg Tiedemann. Latest Development in the FoTran Project - Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components. In 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, editors, Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, EAMT 2022, Ghent, Belgium, June 1-3, 2022. pages 309-310, European Association for Machine Translation, 2022. [doi]