@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",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T Ye Olde French: Effect of Old and Middle French on SIGMORPHON-UniMorph Shared Task Data
%A Kezerian, William
%A Wyner, Lam An
%A Ansari, Sandro
%A Yu, Kristine
%Y Nicolai, Garrett
%Y Chodroff, Eleanor
%Y Mailhot, Frederic
%Y Çöltekin, Çağrı
%S Proceedings of the 21st SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F kezerian-yu-2024-ye
%X 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.
%R 10.18653/v1/2024.sigmorphon-1.5
%U https://aclanthology.org/2024.sigmorphon-1.5
%U https://doi.org/10.18653/v1/2024.sigmorphon-1.5
%P 39-50
Markdown (Informal)
[Ye Olde French: Effect of Old and Middle French on SIGMORPHON-UniMorph Shared Task Data](https://aclanthology.org/2024.sigmorphon-1.5) (Kezerian et al., SIGMORPHON 2024)
ACL