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
윤홍옥 (가천대학교) 이동수 (건국대학교) 홍우평 (건국대학교)
저널정보
서울대학교 인지과학연구소 Journal of Cognitive Science Journal of Cognitive Science 제18권 제2호
발행연도
2017.6
수록면
127 - 152 (26page)
DOI
10.17791/jcs.2017.18.2.127

이용수

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

초록· 키워드

오류제보하기
The purpose of this study was to investigate the conjoined roles of word predictability and contextual uncertainty in modeling readers’ processing difficulty in the integration of recipients or patients into Korean dative sentences, by observing readers’ eye movements in reading. The recipients and patients were arranged in a canonical order (i.e., recipient before patient) or a non-canonical order (i.e., patient before recipient). Using a cloze task, we measured a word’s conditional probability to estimate the degree of predictability for a target word given a context. The outputs from the clozetype listing task were used to compute entropy-based contextual uncertainty corresponding to the degree of contextual constraint at the point in which target words would appear. While the effect of word predictability on eye movement in reading was being taken into account in linear mixed-effect models, the significant effect of contextual uncertainty emerged only in the processing of target words in non-canonical sentences in a way that words were read more rapidly as the strength of contextual uncertainty increased. Including the contextual-uncertainty factor in the model of word predictability improved the goodness of the model fit significantly in the condition of canonical sentences and marginally significantly in that of non-canonical sentences. Our results suggest that the role of contextual uncertainty is important to improve the model performance accounting for expectation-based probabilistic readers' behaviors during sentence comprehension. A weak context (i.e., high contextual uncertainty) in which a wide distribution of possible choices is constructed contributes to the reduction of processing difficulty, in particular, when readers do not make a strong commitment for upcoming structural information.

목차

등록된 정보가 없습니다.

참고문헌 (41)

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