Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866915989754478592 |
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| author | Sung, Hakyung Shin, Gyu-Ho |
| author_facet | Sung, Hakyung Shin, Gyu-Ho |
| contents | We propose a simplified human-in-the-loop workflow for second language (L2) Korean morphosyntactic annotation by leveraging agreement between two domain-adapted parsers. We first evaluate whether parser agreement can serve as a proxy for annotation correctness by comparing it with independent human judgments. The results show strong correspondence between parser and human judgments, supporting the feasibility of semi-automatic L2-Korean UD annotation. Further analysis demonstrates that parser disagreements cluster in linguistically predictable domains such as grammatical-relation distinctions and clause-boundary ambiguity. While many disagreement cases are tractable for iterative model refinement, others reflect deeper representational challenges inherent in parsing and tagging L2-Korean corpora. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2605_06625 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation Sung, Hakyung Shin, Gyu-Ho Computation and Language We propose a simplified human-in-the-loop workflow for second language (L2) Korean morphosyntactic annotation by leveraging agreement between two domain-adapted parsers. We first evaluate whether parser agreement can serve as a proxy for annotation correctness by comparing it with independent human judgments. The results show strong correspondence between parser and human judgments, supporting the feasibility of semi-automatic L2-Korean UD annotation. Further analysis demonstrates that parser disagreements cluster in linguistically predictable domains such as grammatical-relation distinctions and clause-boundary ambiguity. While many disagreement cases are tractable for iterative model refinement, others reflect deeper representational challenges inherent in parsing and tagging L2-Korean corpora. |
| title | Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2605.06625 |