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
장경철 (부산대학교)
저널정보
한국영미어문학회 영미어문학 영미어문학 제141호
발행연도
2021.1
수록면
213 - 241 (29page)

이용수

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

초록· 키워드

오류제보하기
There are at least two types of verb-plus-preposition (V-P) combination which Huddleston & Pullum (2002) call fossilised and nonfossilised, such as come across ‘encounter’ in come across a picture and refer to ‘consult’ in refer to a book, respectively. This distinction is motivated by the fact that, where the nonfossilised combination may undergo syntactic processes like dislocation, the fossilised counterpart resists them all. This paper attributes such resistance to lexical integrity and proposes a lexical mapping approach to that grammatical contrast. In this approach, both fossilised and nonfossilised V-P combinations count as a lexical construction whose entire category is unspecified in the lexicon, although those of its parts are specified, as in {V P}. Along with this categorial underspecification, two types of mapping are suggested between syntactic and morphological structures (SS and MS, respectively) for the lexical verb phrase (VP) constructed from each lexical construction. One is a simple mapping through which each element in MS separately links to one in SS, and the other a complex mapping that adds a cross-linking to that simple mapping. While the simple mapping works on the nonfossilised type, as in {refer2 to3}1 ↔ [refer2 [to3 his_book4]3]1, the complex mapping operates on the fossilised type, as in {come2 across3}1 ↔ [come2,3 [across3 a_picture4]3]1. In particular, the doubly coindexed subscript numbers 2 and 3 on the verb (come2,3) in the latter indicate the same effect of lexical integrity as lexical verbs have on syntactic processes. Extensions of the proposed analysis are made for explanations of other related constructions.

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