2021
Revisiting Robust Neural Machine Translation: A Transformer Case Study
EMNLP 2021finding
Transformers have brought a remarkable improvement in the performance of neural machine translation (NMT) systems but they could be surprisingly vulnerable to noise. In this work, we try to investigate how noise breaks Transformers and if there exist solutions to deal with such issues. There is a la…