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.
Cite
@article{arxiv.2502.09648,
title = {UKTA: Unified Korean Text Analyzer},
author = {Seokho Ahn and Junhyung Park and Ganghee Go and Chulhui Kim and Jiho Jung and Myung Sun Shin and Do-Guk Kim and Young-Duk Seo},
journal= {arXiv preprint arXiv:2502.09648},
year = {2025}
}