UKTA: Unified Korean Text Analyzer
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866909493047066624 |
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| author | Ahn, Seokho Park, Junhyung Go, Ganghee Kim, Chulhui Jung, Jiho Shin, Myung Sun Kim, Do-Guk Seo, Young-Duk |
| author_facet | Ahn, Seokho Park, Junhyung Go, Ganghee Kim, Chulhui Jung, Jiho Shin, Myung Sun Kim, Do-Guk Seo, Young-Duk |
| contents | Evaluating writing quality is complex and time-consuming often delaying feedback to learners. While automated writing evaluation tools are effective for English, Korean automated writing evaluation tools face challenges due to their inability to address multi-view analysis, error propagation, and evaluation explainability. To overcome these challenges, we introduce UKTA (Unified Korean Text Analyzer), a comprehensive Korea text analysis and writing evaluation system. UKTA provides accurate low-level morpheme analysis, key lexical features for mid-level explainability, and transparent high-level rubric-based writing scores. Our approach enhances accuracy and quadratic weighted kappa over existing baseline, positioning UKTA as a leading multi-perspective tool for Korean text analysis and writing evaluation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_09648 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | UKTA: Unified Korean Text Analyzer Ahn, Seokho Park, Junhyung Go, Ganghee Kim, Chulhui Jung, Jiho Shin, Myung Sun Kim, Do-Guk Seo, Young-Duk Computation and Language Artificial Intelligence Evaluating writing quality is complex and time-consuming often delaying feedback to learners. While automated writing evaluation tools are effective for English, Korean automated writing evaluation tools face challenges due to their inability to address multi-view analysis, error propagation, and evaluation explainability. To overcome these challenges, we introduce UKTA (Unified Korean Text Analyzer), a comprehensive Korea text analysis and writing evaluation system. UKTA provides accurate low-level morpheme analysis, key lexical features for mid-level explainability, and transparent high-level rubric-based writing scores. Our approach enhances accuracy and quadratic weighted kappa over existing baseline, positioning UKTA as a leading multi-perspective tool for Korean text analysis and writing evaluation. |
| title | UKTA: Unified Korean Text Analyzer |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2502.09648 |