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
최재웅 (고려대학교)
저널정보
고려대학교 언어정보연구소 언어정보 언어정보 제22호
발행연도
2016.1
수록면
63 - 84 (22page)

이용수

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

초록· 키워드

오류제보하기
The purpose of this study is to analyze the distinctive characteristics of the noun distribution in the Korean adnominal case construction, namely, the 'N1-ui N2' construction. As a methodological framework, we adopt a collostructional analysis, including a covarying collexeme analysis, which is a statistically sophisticated methodology couched within the tenets of the Constructional Grammar (Stefanowitsch 2013, Stefanowitsch & Gries 2003, Gries & Stefanowitsch 2004, Hoffmann & Graeme 2013). The main analysis proceeds in the following steps: We first extract all the adnominal case constructions from a 11 million word Korean corpus, called the Sejong Semantic corpus, and identify N1 and N2 from each example. Then we apply the collostructional analysis, measuring the Association Strength of each N1 word to the N1 position, and each N2 word to the N2 position. We also measure the Association Strength for the covarying collexeme relations between N1 and N2 in each pair. We provide the top most ranked items in each of the three lists and discuss their syntactic and semantic characteristics. It is found that the group of nouns that characteristically appear in the N1 position cover various noun types like dependent nouns and proper names as well as regular nouns. Semantically the top ranked nouns tend to be of the agent types like people and social institutions. On the other hand, the distinctive group of nouns that rank highest in the N2 position mostly include regular nouns that are related to parts or properties of some objects. Finally, the highest ranked N1-N2 pairs typically form conventionalized and idiomatic expressions.

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