UKTA: Unified Korean Text Analyzer
This work addresses the problem of delayed feedback for Korean language learners due to the limitations of existing automated writing evaluation tools, providing an incremental yet significant improvement for educators and students.
The authors tackled the challenge of automated writing evaluation for Korean texts, achieving improved accuracy and quadratic weighted kappa scores with their UKTA system. UKTA provides a comprehensive analysis and evaluation system, outperforming existing baselines.
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.