Developing Learner Corpus Annotation for Korean Particle Errors

Grammatical Error Annotation for Korean Learners of Spoken English

The goal of our research is to build a grammatical error-tagged corpus for Korean learners of Spoken English dubbed Postech Learner Corpus. We collected raw story-telling speech from Korean university students. Transcrip…

Enriching the Korean Learner Corpus with Multi-reference Annotations and Rubric-Based Scoring

Despite growing global interest in Korean language education, there remains a significant lack of learner corpora tailored to Korean L2 writing. To address this gap, we enhance the KoLLA Korean learner corpus by adding m…

Korean Children's Spoken English Corpus and an Analysis of its Pronunciation Variability

This paper introduces a corpus of Korean-accented English speech produced by children (the Korean Children's Spoken English Corpus: the KC-SEC), which is constructed by Seoul National University. The KC-SEC was developed…

Detecting and Correcting Learner Korean Particle Omission Errors

Refining Word-Based Grammatical Error Annotation for L2 Korean

Korean grammatical error correction (K-GEC) presents a structural mismatch between word-based evaluation and the morpheme-level locus of many learner errors. Postpositions and verbal endings are bound to lexical hosts, b…