@inproceedings{n-elnokrashy-etal-2022-language,
    title = "Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation",
    author = "ElNokrashy, Muhammad  and
      Hendy, Amr  and
      Maher, Mohamed  and
      Afify, Mohamed  and
      Hassan Awadalla, Hany",
    editor = "Duh, Kevin  and
      Guzm{\'a}n, Francisco",
    booktitle = "Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)",
    month = sep,
    year = "2022",
    address = "Orlando, USA",
    publisher = "Association for Machine Translation in the Americas",
    url = "https://preview.aclanthology.org/fix-sig-urls/2022.amta-research.6/",
    pages = "70--82"
}