Application of Pretrained Models for Machine Translation

In recent years, the pre-training model represented by BERT has achieved significant improvement in many NLP tasks. However, because the MLM pre-training task used by the pre-training language model is different from the auto-regressive language model, it is difficult to apply it in the field of machine translation. This article introduces the basic concepts of machine translation, pre-training language models and BERT. In addition, it introduces the current research on pre-trained language models that can be used for machine translation and the prospects for future research in detail.