UKTA: Unified Korean Text Analyzer
Seokho Ahn, Junhyung Park, Ganghee Go, Chulhui Kim, Jiho Jung, Myung, Sun Shin, Do-Guk Kim, Young-Duk Seo

TL;DR
UKTA is a comprehensive system for Korean text analysis and writing evaluation that improves accuracy, explainability, and multi-view analysis, addressing key challenges faced by existing tools.
Contribution
UKTA introduces a unified approach combining low-level morpheme analysis, lexical features, and transparent scoring for Korean writing evaluation.
Findings
Enhanced accuracy and quadratic weighted kappa over baselines
Provides multi-view analysis and explainability in Korean text evaluation
Positions as a leading multi-perspective Korean text analysis tool
Abstract
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.
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Taxonomy
TopicsTechnology and Data Analysis · Diverse Approaches in Healthcare and Education Studies · Educational Systems and Policies
