mlsanityData to 7 Oct 2026

UKTA: Unified Korean Text Analyzer

arXiv 2502.09648 ↗First posted 11 Feb 2025cs.CL cs.AIcited by 0

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Abstract (arXiv)

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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References · 4

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2022On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representationcited by 46
  3. 2018Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Taggingcited by 3
  4. 2016Sentence Similarity Measures for Fine-Grained Estimation of Topical Relevance in Learner Essayscited by 2

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