영어권 한국어 학습자의 조사 오류에 대한 계량적 연구- 국립국어원 '한국어 학습자 말뭉치'를 대상으로 -

Abstract

The purpose of this research is to analyze the particle errors of English-speaking Korean learners and to investigate the statistical features of the particle errors using Error-annotated Korean Learners’ Corpus. The Korean Learners’ Corpus is very useful learner language data for both Korean teachers and Korean learners. Specifically, Error-Annotated Korean Learners’ Corpus is extremely valuable since it provides detailed analysis and feedback for each error. The analysis of English-speaking Korean learner data shows that particle errors are occurring across all levels of Korean learners and it shows that Korean teachers and learners should focus on how to reduce particle errors. Korean learners and teachers need to focus on subject (i/ga), object (eul/leul), topic (eun/neun) and locative/adverbial (e and eseo) particles more because these particles account for 64.41% of total particle errors. Specifically, Replacement and Omission are the most frequent and the second most frequent particle error types respectively and they account for 86.74% of total particle errors. Particle errors needs to be looked at from a larger perspective to find out better solutions to reduce them, because particles are closely related to verbs, nouns and syntactic structures. Once a bigger annotated corpus is available, we may be able to extract not only erroneous particles but also related verbs and nouns, and figure out what causes the particle errors and how to reduce them. The results could be used to provide better feedback to Korean learners and to develop better textbooks and curriculum.