Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation
Abstract
We present the results of the first task on Large-Scale Multilingual Machine Translation. The task consists on the many-to-many evaluation of a single model across a variety of source and target languages. This year, the task consisted on three different settings: (i) SMALLTASK1 (Central/South-Eastern European Languages), (ii) the SMALL-TASK2 (South East Asian Languages), and (iii) FULL-TASK (all 101 x 100 language pairs). All the tasks used the FLORES-101