@inproceedings{huang-etal-2020-simultaneous,
    title = "Simultaneous Translation",
    author = "Huang, Liang  and
      Cherry, Colin  and
      Ma, Mingbo  and
      Arivazhagan, Naveen  and
      He, Zhongjun",
    editor = "Villavicencio, Aline  and
      Van Durme, Benjamin",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.emnlp-tutorials.6/",
    doi = "10.18653/v1/2020.emnlp-tutorials.6",
    pages = "34--36",
    abstract = "Simultaneous translation, which performs translation concurrently with the source speech, is widely useful in many scenarios such as international conferences, negotiations, press releases, legal proceedings, and medicine. This problem has long been considered one of the hardest problems in AI and one of its holy grails. Recently, with rapid improvements in machine translation, speech recognition, and speech synthesis, there has been exciting progress towards simultaneous translation. This tutorial will focus on the design and evaluation of policies for simultaneous translation, to leave attendees with a deep technical understanding of the history, the recent advances, and the remaining challenges in this field."
}