Volume 18, Issue 2
  • ISSN 0257-3784
  • E-ISSN: 2212-9731



This study aims to identify patterns of verb conjugation errors that learners of Korean manifest and the factors that influence these errors through an analysis of an error-annotated learner corpus. For this purpose, a paradigmatic relations-based description of language acquisition was proposed. The predictability of each conjugation class was estimated by way of entropy, a tool for measuring predictability. Using entropy allowed us to compare the regularity of each class in detail. The results showed that there are 332 verb conjugation errors that can be classified into three types of errors: errors with vowel endings, errors with lower entropy, and errors with higher entropy. The frequency of the first two types suggests that learners make errors when producing frequently used conjugated forms and with more predictable classes. Considering this study’s reproducibility and the reliability of its procedures and the results, its findings are expected to make a substantial contribution to the study of error analysis using error-annotated learner corpora.

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  • Article Type: Research Article
Keyword(s): entropy; error-annotated learner corpus; predictability; verb conjugation
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