An Effective Approach to Unsupervised Machine Translation
Table 3: Results of the proposed method in comparison to different supervised systems (BLEU). ∗Detokenized BLEU equivalent to the official mteval-v13a.pl script. The rest use tokenized BLEU with multi-bleu.perl (or similar). †Results in the original test set from WMT 2014, which slightly differs from the full test set used in all subsequent work. Our proposed system obtains 22.4 BLEU points (21.1 detokenized) in that same subset.
['[EMPTY]', '[EMPTY]', 'WMT-14 fr-en', 'WMT-14 en-fr', 'WMT-14 de-en', 'WMT-14 en-de']
More concretely, we include the best results from the shared task itself, which reflect the state-of-the-art in machine translation back in 2014; those of Vaswani et al.