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        <title>UD-KSL Treebank v1.3: A semi-automated framework for aligning XPOS-extracted units with UPOS tags</title>
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        <namePart type="given">Hakyung</namePart>
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    <abstract>The present study extends recent work on Universal Dependencies annotations for second-language (L2) Korean by introducing a semi-automated framework that identifies morphosyntactic constructions from XPOS sequences and aligns those constructions with corresponding UPOS categories. We also broaden the existing L2-Korean corpus by annotating 2,998 new sentences from argumentative essays. To evaluate the impact of XPOS-UPOS alignments, we fine-tune L2-Korean morphosyntactic analysis models on datasets both with and without these alignments, using two NLP toolkits. Our results indicate that the aligned dataset not only improves consistency across annotation layers but also enhances morphosyntactic tagging and dependency-parsing accuracy, particularly in cases of limited annotated data.</abstract>
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%0 Conference Proceedings
%T UD-KSL Treebank v1.3: A semi-automated framework for aligning XPOS-extracted units with UPOS tags
%A Sung, Hakyung
%A Shin, Gyu-Ho
%A Lee, Chanyoung
%A Sung, You Kyung
%A Jung, Boo Kyung
%Y Peng, Siyao
%Y Rehbein, Ines
%S Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-262-6
%F sung-etal-2025-ud
%X The present study extends recent work on Universal Dependencies annotations for second-language (L2) Korean by introducing a semi-automated framework that identifies morphosyntactic constructions from XPOS sequences and aligns those constructions with corresponding UPOS categories. We also broaden the existing L2-Korean corpus by annotating 2,998 new sentences from argumentative essays. To evaluate the impact of XPOS-UPOS alignments, we fine-tune L2-Korean morphosyntactic analysis models on datasets both with and without these alignments, using two NLP toolkits. Our results indicate that the aligned dataset not only improves consistency across annotation layers but also enhances morphosyntactic tagging and dependency-parsing accuracy, particularly in cases of limited annotated data.
%R 10.18653/v1/2025.law-1.9
%U https://aclanthology.org/2025.law-1.9/
%U https://doi.org/10.18653/v1/2025.law-1.9
%P 115-125

Markdown (Informal)

[UD-KSL Treebank v1.3: A semi-automated framework for aligning XPOS-extracted units with UPOS tags](https://aclanthology.org/2025.law-1.9/) (Sung et al., LAW 2025)

• UD-KSL Treebank v1.3: A semi-automated framework for aligning XPOS-extracted units with UPOS tags (Sung et al., LAW 2025)

ACL

• Hakyung Sung, Gyu-Ho Shin, Chanyoung Lee, You Kyung Sung, and Boo Kyung Jung. 2025. UD-KSL Treebank v1.3: A semi-automated framework for aligning XPOS-extracted units with UPOS tags. In Proceedings of the 19th Linguistic Annotation Workshop (LAW-XIX-2025), pages 115–125, Vienna, Austria. Association for Computational Linguistics.