@inproceedings{moeller-arppe-2024-machine,
    title = "Machine-in-the-Loop with Documentary and Descriptive Linguists",
    author = "Moeller, Sarah  and
      Arppe, Antti",
    editor = "Moeller, Sarah  and
      Agyapong, Godfred  and
      Arppe, Antti  and
      Chaudhary, Aditi  and
      Rijhwani, Shruti  and
      Cox, Christopher  and
      Henke, Ryan  and
      Palmer, Alexis  and
      Rosenblum, Daisy  and
      Schwartz, Lane",
    booktitle = "Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages",
    month = mar,
    year = "2024",
    address = "St. Julians, Malta",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.computel-1.5/",
    pages = "27--32",
    abstract = "This paper describes a curriculum for teaching linguists how to apply machine-in-the-loop (MitL) approach to documentary and descriptive tasks. It also shares observations about the learning participants, who are primarily non-computational linguists, and how they interact with the MitL approach. We found that they prefer cleaning over increasing the training data and then proceed to reanalyze their analytical decisions, before finally undertaking small actions that emphasize analytical strategies. Overall, participants display an understanding of the curriculum which covers fundamental concepts of machine learning and statistical modeling."
}