@inproceedings{manzur-2021-mt,
    title = "{MT} Human Evaluation {--} Insights {\&} Approaches",
    author = "Manzur, Paula",
    editor = "Campbell, Janice  and
      Huyck, Ben  and
      Larocca, Stephen  and
      Marciano, Jay  and
      Savenkov, Konstantin  and
      Yanishevsky, Alex",
    booktitle = "Proceedings of Machine Translation Summit XVIII: Users and Providers Track",
    month = aug,
    year = "2021",
    address = "Virtual",
    publisher = "Association for Machine Translation in the Americas",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.mtsummit-up.12/",
    pages = "149--165",
    abstract = "This session is designed to help companies and people in the business of translation evaluate MT output and to show how human translator feedback can be tweaked to make the process more objective and accurate. You will hear recommendations, insights, and takeaways on how to improve the procedure for human evaluation. When this is achieved, we can understand if the human eval study and machine metric result coheres. And we can think about what the future of translators looks like {--} the final ``human touch'' and automated MT review.''"
}