@inproceedings{wang-li-2021-pre,
    title = "Pre-training Methods for Neural Machine Translation",
    author = "Wang, Mingxuan  and
      Li, Lei",
    editor = "Chiang, David  and
      Zhang, Min",
    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Tutorial Abstracts",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.acl-tutorials.4/",
    doi = "10.18653/v1/2021.acl-tutorials.4",
    pages = "21--25",
    abstract = "This tutorial provides a comprehensive guide to make the most of pre-training for neural machine translation. Firstly, we will briefly introduce the background of NMT, pre-training methodology, and point out the main challenges when applying pre-training for NMT. Then we will focus on analysing the role of pre-training in enhancing the performance of NMT, how to design a better pre-training model for executing specific NMT tasks and how to better integrate the pre-trained model into NMT system. In each part, we will provide examples, discuss training techniques and analyse what is transferred when applying pre-training."
}