Before revision:  Over several iterations, the synthetic datagenerated by the backward model is used to improve its performance through forward translation. Experiments have shown that the method outperforms both the standard back-translation and self-learning approach on IWSLT'14 English German low resource NMT. While the method also outperforms the iterative back-translation , though slightly, the number of models required to be trained is reduced exactly by the number of iterations .
After revision:  Over several iterations, the superiority of the proposed approach over the traditional back-translation and self-learning approach on IWSLT'14 English German low resource NMT. While the method also outperforms the iterative back-translation , though slightly, the number of models required to be trained is reduced exactly by the number of iterations .