Kor-Learner (Korean Learner Corpus)

Introduced by Yoon et al. in Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation

Kor-Learner is a Korean grammatical error correction (GEC) dataset made from the NIKL learner corpus containing essays written by Korean learners and their grammatical error correction annotations by their tutors in an morpheme-level XML file format. It contains more than 28K sentence pairs.

Source: Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation

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