Enriching KoLLA with Multi-reference Annotations and Rubric-Based Scoring

We enhance the KoLLA Korean learner corpus by adding multiple grammatical error correction (GEC) references, which enable more nuanced and flexible evaluation of GEC systems and better capture the variability of human language. In addition, we enrich the corpus with rubric-based scores aligned with guidelines from the Korean National Language Institute, providing measures of grammatical accuracy, coherence, and lexical diversity. Together, these enhancements establish KoLLA as a robust and standardized resource for research in Korean L2 education, supporting advances in language learning, assessment, and automated error correction. Original KoLLA (v1.0), including learners’ written texts, is available at https://cl.indiana.edu/~kolla/本研究对KoLLA韩语学习者语料库进行了优化扩展：新增多组语法错误纠正（Grammatical Error Correction, GEC）参考样本，以此实现对GEC系统更为精细且灵活的评估，并能更精准地捕捉人类语言的变异性。此外，本研究参照韩国国家语言研究院的官方指南，为该语料库补充了基于评分细则的量化评分维度，涵盖语法准确性、文本连贯性与词汇多样性三大指标。综上，这些优化工作使KoLLA成为韩语第二语言（L2）教育研究领域的可靠标准化资源，可为语言学习、语言测评与自动化错误纠正相关研究的发展提供有力支撑。 原始版本的KoLLA（v1.0）包含学习者书面语料，可通过https://cl.indiana.edu/~kolla/ 获取。