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
Yeun-Jin Jung (Dongeui University)
저널정보
한국언어학회 언어 언어 제36권 제3호
발행연도
2011.9
수록면
783 - 814 (32page)

이용수

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

초록· 키워드

오류제보하기
The phenomenon of Right Node Raising (RNR) has invited a wealth of discussion in the literature, centered around the following three major approaches: rightward across-the-board extraction, backward ellipsis, and multi-dominance. Despite the success of each of these approaches to some substantial degree, however, it still remains agnostic whether all the reported properties of RNR can be captured by any single approach exclusively. This paper argues that in deriving RNR structures, both parallel merge and (simple) merge should be operative for the optimal derivation of RNR, assuming that UG employs three types of merge, i.e., external merge, internal merge, and parallel merge (sharing by multi-dominance) (Citko 2005). I will provide empirical evidence for the division of labor between the two operations in RNR, and propose that given the interface economy, parallel merge is the most preferred option for RNR constructions; but at the same time, merge (followed by ellipsis), another independent operation in UG, should be a readily available option for RNR constructions.

목차

1. Introduction
2. Aspects of the Division of Labor in RNR Constructions
3. RNR with Discontinuous NPs
4. Conclusion
References

참고문헌 (50)

참고문헌 신청

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0