Not surprisingly, data augmentation significantly improves the robustness of NMT models to homophone noises.
the noises in training data seem to hurt the performance of the baseline model (from 45.97 to 43.94), and its effect on our model seems to be much smaller, probably because our model mainly uses the phonetic information.