Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing

Michael Ginn, Sarah Moeller, Alexis Palmer, Anna Stacey, Garrett Nicolai, Mans Hulden, Miikka Silfverberg
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引用次数: 4

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.
SIGMORPHON 2023共享任务在行间光泽上的发现
本文介绍了SIGMORPHON 2023关于行间光泽的共享任务的研究结果。共同任务的第一次迭代探索了六种不同类型语言的注释:Arapaho, Gitksan, Lezgi, nat, Tsez和Uspanteko。共享任务包含两个轨道:资源稀缺的封闭轨道和允许参与者利用外部数据资源的开放轨道。五个小组参与了这个共同的任务。获胜队伍 - cl在封闭赛道上比基线RoBERTa系统提高23.99%,在开放赛道上提高17.42%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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