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This report describes Microsoft's machine translation systems for the WMT21shared task on large-scale multilingual machine translation. We participated inall three evaluation tracks including Large Track and two Small Tracks wherethe former one is unconstrained and the latter two are fully constrained. Ourmodel submissions to the shared task were initialized withDeltaLM\footnote{\url{https://aka.ms/deltalm}}, a generic pre-trainedmultilingual encoder-decoder model, and fine-tuned correspondingly with thevast collected parallel data and allowed data sources according to tracksettings, together with applying progressive learning and iterativeback-translation approaches to further improve the performance. Our finalsubmissions ranked first on three tracks in terms of the automatic evaluationmetric.

Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task