Enriching the Korean learner corpus for grammatical error correction and writing assessment.
Despite growing global interest in Korean language education, learner corpora tailored to Korean L2 writing remain scarce. This paper introduces KoLLA v2.0, the first Korean learner corpus to incorporate both multi-reference GEC annotations and rubric-based essay scoring. We extend the original KoLL...
| Publicado en: | Language Resources & Evaluation Vol. 60; no. 1; pp. 1 - 20 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Springer Nature
Mar2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=190811795&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 190811795 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2026 vid: 60 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 190811795 10.1007/s10579-025-09882-9 ppf: 1 ppct: 19 formats: tig: atl: Enriching the Korean learner corpus for grammatical error correction and writing assessment. aug: au: Song, Jayoung Lim, KyungTae Park, Jungyeul affil: https://ror.org/04p491231 Department of Asian Studies, The Pennsylvania State University, 201 Old Main, 16802, University Park, PA, USA https://ror.org/05apxxy63 Graduate School of Culture Technology, Korea Advanced Institute of Science & Technology, 291 Daehak-ro, 34141, Daejeon, South Korea https://ror.org/05apxxy63 Culture Technology Research Institute, Korea Advanced Institute of Science & Technology, 291 Daehak-ro, 34141, Daejeon, South Korea su: Scoring rubrics Annotations Language ability testing sug: subj: Scoring rubrics Annotations Language ability testing keyword: Communication and Culture Linguistics Grammatical error correction KoLLA corpus Korean learner corpus Language Multi-reference GEC Rubric-based scoring ab: Despite growing global interest in Korean language education, learner corpora tailored to Korean L2 writing remain scarce. This paper introduces KoLLA v2.0, the first Korean learner corpus to incorporate both multi-reference GEC annotations and rubric-based essay scoring. We extend the original KoLLA dataset by adding a second human correction for each sentence, creating the first multi-reference GEC resource for Korean. This design captures the variability of valid corrections in an agglutinative and morphologically complex language, enabling fairer and more realistic evaluation of GEC systems. In parallel, we enrich the corpus with rubric-based scores based on criteria from the Korean National Language Institute, providing standardized, multi-dimensional assessments of grammatical accuracy, coherence, and lexical diversity. These enhancements position KoLLA v2.0 as a standardized resource for research in Korean L2 learning and instruction, and as a benchmark for evaluating automated error correction and essay scoring systems. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2026 holdings: @attributes: islocal: N |
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