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We describe Facebook's multilingual model submission to the WMT2021 sharedtask on news translation. We participate in 14 language directions: English toand from Czech, German, Hausa, Icelandic, Japanese, Russian, and Chinese. Todevelop systems covering all these directions, we focus on multilingual models.We utilize data from all available sources --- WMT, large-scale data mining,and in-domain backtranslation --- to create high quality bilingual andmultilingual baselines. Subsequently, we investigate strategies for scalingmultilingual model size, such that one system has sufficient capacity for highquality representations of all eight languages. Our final submission is anensemble of dense and sparse Mixture-of-Expert multilingual translation models,followed by finetuning on in-domain news data and noisy channel reranking.Compared to previous year's winning submissions, our multilingual systemimproved the translation quality on all language directions, with an averageimprovement of 2.0 BLEU. In the WMT2021 task, our system ranks first in 10directions based on automatic evaluation.

Facebook AI WMT21 News Translation Task Submission