Microsoft Research Asia’s Systems for WMT19
Table 1: Results of English↔German by sacreBLEU.
['[EMPTY]', 'En→De news16', 'En→De news18', 'De→En news16', 'De→En news18']
The baseline is the average accuracy of models using only bitext, i.e., ¯f1 and ¯f2 for English→German translation and ¯g1 and ¯g2 for German→English, and BT is the accuracy of the model after back-translation training. As can be seen, back translation improves accuracy. For example, back-translation boosts the BLEU score from 45.6 to 47.4 on news18 English→German translation, which is 1.8 point improvement. MADL further boosts BLEU to 50.4, obtaining another 3-point improvement, demonstrating the effectiveness of our method.