1 综述

1. A Survey on Document-level Machine Translation: Methods and Evaluation
   2019-12-18 paper

2. A Comprehensive Survey of Multilingual Neural Machine Translation
   2020-01-04 paper

3. A Survey of Deep Learning Techniques for Neural Machine Translation
   2020-02-18 paper

2 理论

End

附录

A 推荐书籍

B 推荐资料

1. CMU Neural Nets for NLP 2018
   官网：http://www.phontron.com/class/nn4nlp2018/schedule.html

2. CMU Neural Nets for NLP 2019
   官网：http://phontron.com/class/nn4nlp2019/schedule.html

C 工程

1. pytorch-transformers
   tensorflow 和 pytorch 支持的 NLP 预训练模型；
2. lightKG，lightsmile个人的知识图谱技术框架