Abstract
This paper presents the findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing. This first iteration of the shared task explores glossing of a set of six typologically diverse languages: Arapaho, Gitksan, Lezgi, Natügu, Tsez and Uspanteko. The shared task encompasses two tracks: a resource-scarce closed track and an open track, where participants are allowed to utilize external data resources. Five teams participated in the shared task. The winning team Tü-CL achieved a 23.99%-point improvement over a baseline RoBERTa system in the closed track and a 17.42%-point improvement in the open track.
Cite
CITATION STYLE
Ginn, M., Moeller, S., Palmer, A., Stacey, A., Nicolai, G., Hulden, M., & Silfverberg, M. (2023). Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 186–201). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.sigmorphon-1.20
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