UKTA: Unified Korean Text Analyzer

Ahn, Seokho, Park, Junhyung, Go, Ganghee, Kim, Chulhui, Jung, Jiho, Shin, Myung Sun, Kim, Do-Guk, Seo, Young-Duk

arXiv.org Artificial Intelligence 

High-level, abstract evaluation results should be interpretable by humans, who need to understand Evaluating writing quality is complex and time-consuming often the reason behind the scores and the features that influenced the delaying feedback to learners. While automated writing evaluation results. Providing this explainability to users is crucial for ensuring tools are effective for English, Korean automated writing evaluation reliability, as these tools have the potential to make mistakes; tools face challenges due to their inability to address multi-view Unfortunately, existing Korean text analyzers [16, 18, 20] and automated analysis, error propagation, and evaluation explainability. To overcome writing evaluation tools [21, 37] do not fully meet all these these challenges, we introduce UKTA (Unified Korean Text requirements, limiting their practical use. Analyzer), a comprehensive Korea text analysis and writing evaluation To address the research gap, we introduce UKTA (Unified Korean system. UKTA provides accurate low-level morpheme analysis, Text Analyzer), a comprehensive Korean text analysis system for key lexical features for mid-level explainability, and transparent evaluating Korean writing. First, we provide accurate low-level analysis high-level rubric-based writing scores. Our approach enhances based on state-of-the-art Korean morpheme analyzer, which accuracy and quadratic weighted kappa over existing baseline, positioning minimizes error propagation. In addition to morpheme analysis, we UKTA as a leading multi-perspective tool for Korean text categorize and provide key features, such as lexical richness and analysis and writing evaluation.

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