{"title":"Verb conjugation errors by learners of Korean","authors":"Chanyoung Lee","doi":"10.1075/kl.20008.lee","DOIUrl":null,"url":null,"abstract":"\n This study aims to identify patterns of verb conjugation errors that learners of Korean manifest and the factors\n that influence these errors through an analysis of an error-annotated learner corpus. For this purpose, a paradigmatic\n relations-based description of language acquisition was proposed. The predictability of each conjugation class was estimated by\n way of entropy, a tool for measuring predictability. Using entropy allowed us to compare the regularity of each class in detail.\n The results showed that there are 332 verb conjugation errors that can be classified into three types of errors: errors with vowel\n endings, errors with lower entropy, and errors with higher entropy. The frequency of the first two types suggests that learners\n make errors when producing frequently used conjugated forms and with more predictable classes. Considering this study’s\n reproducibility and the reliability of its procedures and the results, its findings are expected to make a substantial\n contribution to the study of error analysis using error-annotated learner corpora.","PeriodicalId":29725,"journal":{"name":"Korean Linguistics","volume":" ","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Linguistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1075/kl.20008.lee","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0
Abstract
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.