UD-KSL Treebank v1.3: A semi-automated framework for aligning XPOS-extracted units with UPOS tags
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866910999913693184 |
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| author | Sung, Hakyung Shin, Gyu-Ho Lee, Chanyoung Sung, You Kyung Jung, Boo Kyung |
| author_facet | Sung, Hakyung Shin, Gyu-Ho Lee, Chanyoung Sung, You Kyung Jung, Boo Kyung |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_09009 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | UD-KSL Treebank v1.3: A semi-automated framework for aligning XPOS-extracted units with UPOS tags Sung, Hakyung Shin, Gyu-Ho Lee, Chanyoung Sung, You Kyung Jung, Boo Kyung Computation and Language 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. |
| title | UD-KSL Treebank v1.3: A semi-automated framework for aligning XPOS-extracted units with UPOS tags |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2506.09009 |