메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
석데리아순영 (경북대학교)
저널정보
현대문법학회 현대문법연구 현대문법연구 제110호
발행연도
2021.1
수록면
137 - 156 (20page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The current study expands on the previous corpus-based study which investigated the use of English articles by adult advanced proficiency Korean EFL learners by comparing a learner corpus and a native speaker corpus. The present paper reports on a follow-up investigation of the Korean EFL learners’ use of English articles: the, a(n), and Ø (the zero or null article) using a young learner corpus, the KNU English Learner Corpus (KELC), and two recently added subcorpora of KNU English as a Foreign Language Corpus (KEFLC), the KNU junior high school learner corpus (KJHSC) and the KNU high school learner corpus (KHSC). Comparison analyses were conducted among the learner corpora consisting of data from different grade level groups of Korean EFL learners and between the learner corpora and the native speaker corpus, COCA. Results show that the high occurrence frequency of the Ø article in the early stages of the article acquisition process is evidence of L1 transfer. Furthermore, the L2 article usage hierarchies found for each of the different grade level learner corpora exhibited overgeneralization of the Ø article or omission or failure to provide articles that resulted in high occurrence frequencies of the Ø article in all grade level learner corpora except the university level KNU Student English Learner Corpus-Written (KSELC-W). The L2 article usage hierarchy for KSELC-W revealed existence of the-flooding. Finally, the findings from the current study indicate that corpus-based studies can provide insight into interlanguage developmental processes and support previous literature with evidence from large data-based investigations.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0