msarmi9
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multi30k

Eval Results (legacy)

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Seq2seq + Attention

Pytorch implementation of Neural Machine Translation by Jointly Learning to Align and Translate. Trained on the Multi30k-de-en dataset with sentencepiece as the tokenizer.

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Paper for msarmi9/multi30k

Neural Machine Translation by Jointly Learning to Align and Translate

Paper • 1409.0473 • Published Sep 1, 2014 • 7

Evaluation results

Test BLEU on multi30k-de-en
self-reported

33.468