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 |

Paper Details:

Month: June
Year: 2022
Location: Ghent, Belgium
Venue: EAMT |

Citations

URL