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
이주홍 (서울대학교) 홍택규 (한림대학교)
저널정보
한국러시아문학회 러시아어문학연구논집 러시아어문학연구논집 제74호
발행연도
2021.8
수록면
39 - 82 (44page)

이용수

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

초록· 키워드

오류제보하기
A study on aspectual triplets in Russian gives an interesting perspective on how to analyze and evaluate Russian verbal aspectual system as a whole. Russian verbal aspect is the lexico-grammatical category in which lexical and aspectual features are still more closely related to each other, than many researchers have considered. We think that this close relationship between them has been underestimated. In this article, we critically analyzed previous studies on aspectual triplets, such as Зализняк & Шмелёв(2000), Зализняк & Микаэлян(2010), and Храковский(2005). If we treat Russian verbal aspect as a purely grammatical system, we are likely to fall into a methodological dilemma, as Зализняк & Шмелев did. But if we focus on a lexical synonymy, which Храковский set as a criterion for judging aspectual triplets, we can be relatively free from that kind of dilemma. Nonetheless, we must say that Храковский did not fully pay attention to differences in the usages between primary and secondary imperfective aspects. In this study, we analyzed the examples extracted from the Russian National Corpus to reveal differences in the usages of the verbs ‘читать vs. прочитывать’, ‘есть vs. съедать’, and ‘пить vs выпивать’. The differences in the usages between them turned out to be evident. Primary imperfective aspect fulfills such functions, as ‘ordinary imperfective usages’, ‘relative backgrounding’, and ‘atemporal evaluation’, whereas secondary imperfective aspect fulfills such functions, as ‘quantitative specification’, ‘relative foregrounding/focusing’, ‘metaphorical focalization’, ‘pseuo-historical present’ and ‘dramatic present’ and so on.

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