SIGMORPHON 2023共享任务在行间光泽上的发现

Special Interest Group on Computational Morphology and Phonology Workshop Pub Date : 1900-01-01 DOI:10.18653/v1/2023.sigmorphon-1.20

Michael Ginn, Sarah Moeller, Alexis Palmer, Anna Stacey, Garrett Nicolai, Mans Hulden, Miikka Silfverberg

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引用次数: 4

摘要

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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Findings of the SIGMORPHON 2023 Shared Task on Interlinear Glossing

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.

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Special Interest Group on Computational Morphology and Phonology Workshop

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