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

Ral Vzquez, Michele Boggia, Alessandro Raganato, Niki Andreas Lopi, Stig-Arne Grnroos, Jrg Tiedemann

VenueCEAMT
Year2022
ProceedingsEAMT

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