@inproceedings{picinini-2021-review,
    title = "A Review for Large Volumes of Post-edited Data",
    author = "Picinini, Silvio",
    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/add-emnlp-2024-awards/2021.mtsummit-up.10/",
    pages = "98--130",
    abstract = "Interested in being more confident about the quality of your post-edited data? This is a session to learn how to create a Longitudinal Review that looks at specific aspects of quality in a systematic way, for the entire content and not just for a sample. Are you a project manager for a multilingual project? The Longitudinal Review can give insights to help project management, even if you are not a speaker of the target language. And it can help you detect issues that a Sample Review may not detect. Please come learn more about this new way to look at review."
}