Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Table 4: Single model results on WMT En→Fr (newstest2014)
['Model', 'BLEU', 'CPU decoding time']
In this table, we also compare against other strong baselines without model ensembling. As can be seen from the table, “WPM-32K”, a wordpiece model with a shared source and target vocabulary of 32K wordpieces, performs well on this dataset and achieves the best quality as well as the fastest inference speed.