韩文语音学的认知似是而非

Canaan Breiss, Jinyoung Jo
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引用次数: 0

摘要

本文总结了2023年SIGMORPHON-UniMorph共享任务0第2部分的数据收集和整理,该部分的重点是建模说话人知识和推广一对相互作用的韩语语音过程。我们简要描述了自然语言处理和语言学研究人员如何对泛化任务进行建模,然后总结了传统的语音过程描述,这是建模挑战的核心。然后,我们描述了我们在两个韩语语音语料库中选择和编码过程应用案例的标准,这些语料库作为主要的学习数据。我们还报告了作为主要测试数据的实验的技术细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SIGMORPHON–UniMorph 2023 Shared Task 0, Part 2: Cognitively Plausible Morphophonological Generalization in Korean
This paper summarises data collection and curation for Part 2 of the 2023 SIGMORPHON-UniMorph Shared Task 0, which focused on modeling speaker knowledge and generalization of a pair of interacting phonological processes in Korean. We briefly describe how modeling the generalization task could be of interest to researchers in both Natural Language Processing and linguistics, and then summarise the traditional description of the phonological processes that are at the center of the modeling challenge. We then describe the criteria we used to select and code cases of process application in two Korean speech corpora, which served as the primary learning data. We also report the technical details of the experiment we carried out that served as the primary test data.
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