@inproceedings{kezerian-yu-2024-ye,
    title = "Ye Olde {F}rench: Effect of Old and {M}iddle {F}rench on {SIGMORPHON}-{U}ni{M}orph Shared Task Data",
    author = "Kezerian, William and Wyner, Lam An and Ansari, Sandro  and Yu, Kristine M.",
    editor = {Nicolai, Garrett  and Chodroff, Eleanor  and Mailhot, Frederic  and {\c{C}}{\"o}ltekin, {\c{C}}a{\u{g}}r{\i}},
    booktitle = "Proceedings of the 21st SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.sigmorphon-1.5",
    doi = "10.18653/v1/2024.sigmorphon-1.5",
    pages = "39--50",
    abstract = "We offer one explanation for the historically low performance of French in the SIGMORPHON-UniMorph shared tasks. We conducted experiments replicating the 2023 task on French with the non-neural and neural baselines, first using the original task splits, and then using splits that excluded Old and Middle French lemmas. We applied a taxonomy on our errors using a framework based on Kyle Gorman{'}s {``}Weird Inflects but OK{''} 2019 annotation scheme, finding that a high portion of the French errors produced with the original splits were due to the inclusion of Old French forms, which was resolved with cleaned data."
}