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
질문

논문 기본 정보

자료유형
학술저널
저자정보
김대성 (전남대학교)
저널정보
한국일본문화학회 일본문화학보 日本文化學報 第64輯
발행연도
2015.2
수록면
45 - 63 (19page)

이용수

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

초록· 키워드

오류제보하기
I have two broader aims. The first is to explore when Dong(冬) rime was combined with Dong(東) one in DivisionⅠ during Tang era. My second aim is to attempt to reconstruct the sound value of Dong(冬) rime in Ancient Chinese and the one in Northern Regions in Tang era. We find that Dong(冬) rime was assimilated into Dong(東) rime before A.D.683 when Gao Zong, an emperor of Tang dynasty, died, because of his being the first user of the two rimes rhymed in an inscription. It is significant to note that Dong(冬) was [oŋ] in Ancient Chinese, and [?ŋ] in the Northen regional sound of Tang dynasty. The [oŋ] has been reconstructed by Sino-Korean /옹/, Many?gana or Old Japanese phonetic alphabet 宗(/so/) except for 農(/nu/) representing the latter sound, and Sino-Vietnamese and Sino-Tibetan [oŋ] which are the secondary sources. The Northern [?ŋ] is mainly based on 農(/nu/) of which Yamanoueno Okura made use. We find 11 examples in Many?sh? in which Yamanoueno Okura wrote ten times and Yamabeno Akahito, who used 農 at the same time as Okura, had only one example. Okura stayed in Tang at least for two years in the early 8th century when Ancient Chinese was undergoing its great shift in sounds. It implies that he might have known very well the sound changes in the period. The [?ŋ] theory is also grounded in the 農 instances of Nihonsyoki and Fudoki. 農 is mainly represented as /nu/ in α group poems in the former, although a few characters of Mo(模) rime are illustrated for /nu/, and it is also recorded only for /nu/ in the latter with 努 having two different sounds /nu/ and /no/.

목차

1. 들어가는 말
2. 冬운의 자료 분석
3. 冬운의 재구음 검토
4. 冬운의 변천
5. 萬葉假名 ‘農’
6. 冬운과 東운의 합류 시기와 冬운의 재구음
【參考文獻】
要旨

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

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2016-913-001412132