Honor contributors to models (#11329)
* Honor contributors to models * Fix typo * Address review comments * Add more authors
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@@ -34,7 +34,8 @@ data, then decode using noisy channel model reranking. Our submissions are ranke
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human evaluation campaign. On En->De, our system significantly outperforms other systems as well as human translations.
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This system improves upon our WMT'18 submission by 4.5 BLEU points.*
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The original code can be found here <https://github.com/pytorch/fairseq/tree/master/examples/wmt19>__.
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This model was contributed by `stas <https://huggingface.co/stas>`__. The original code can be found here
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<https://github.com/pytorch/fairseq/tree/master/examples/wmt19>__.
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Implementation Notes
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