Towards Robust Neural Machine Translation
Table 2: Case-insensitive BLEU scores on Chinese-English translation.
['System', 'Training', 'MT06', 'MT02', 'MT03', 'MT04', 'MT05', 'MT08']
4.2.1 Our strong baseline system significantly outperforms previously reported results on Chinese-English NIST datasets trained on RNN-based NMT. Shen et al. Wang et al. Their system is deep with an encoder of 4 layers and a decoder of 4 layers. Zhang et al. Compared with them, our NMT system trained by MLE outperforms their best models by around 3 BLEU points. We hope that the strong baseline systems used in this work make the evaluation convincing.