不同类型的形态学变化

Omer Goldman, Khuyagbaatar Batsuren, Salam Khalifa, Aryaman Arora, Garrett Nicolai, Reut Tsarfaty, Ekaterina Vylomova
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引用次数: 3

摘要

2023年SIGMORPHON-UniMorph共享任务涉及9个主要语系的26种语言。今年的数据都是引理分裂的,以便测试模型的泛化能力,并按照(Batsuren et al., 2022)中提出的新的分层模式进行结构化。今年提交的9个系统显示出独创性和创新性,包括对可解释性和双向解码的努力关注。由于测试集中有大量未见过的汉字,许多参与者对新引入的日文数据也给予了特殊的处理。
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: Typologically Diverse Morphological Inflection
The 2023 SIGMORPHON–UniMorph shared task on typologically diverse morphological inflection included a wide range of languages: 26 languages from 9 primary language families. The data this year was all lemma-split, to allow testing models’ generalization ability, and structured along the new hierarchical schema presented in (Batsuren et al., 2022). The systems submitted this year, 9 in number, showed ingenuity and innovativeness, including hard attention for explainability and bidirectional decoding. Special treatment was also given by many participants to the newly-introduced data in Japanese, due to the high abundance of unseen Kanji characters in its test set.
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