Facebook FAIR’s WMT19 News Translation Task Submission
Tabelle 2: SacreBLEU for English-Russian models trained with data back-translated using a single model vs. an ensemble of two models
['[EMPTY]', 'En→Ru Single Model', 'En→Ru Ensemble']
In this work we used back-translations obtained by sampling Edunov et al. We found that models trained on data Previous work also found that upsampling the bitext data can improve back-translation We adopt this method to tune the amount of bitext and synthetic data the model is trained on. We find a ratio of 1:1 synthetic to bitext data to perform the best.