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
최석훈 (서울시립대학교)
저널정보
한국외국어대학교 영미연구소 영미연구 영미연구 제60권
발행연도
2024.2
수록면
89 - 126 (38page)

이용수

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

초록· 키워드

오류제보하기
This essay conducts a corpus analysis of ‘love’ in Shakespeare’s Richard III using Voyant Tools, a free web-based application for analyzing digital texts. While Voyant Tools have been used in Shakespeare classes for educational purposes, it is hard to find any books or journal essays that incorporate the online program in Shakespeare drama research. It is hoped that the paper serves as an example that suggests academic potential of using digital tools in drama text analysis. Although Richard III is rarely discussed with reference to ‘love,’ the high frequency of the word in the text confirms its thematic importance in the play. My analysis of the corpus data makes the following discoveries. First, ‘love’ in Richard III has a broad spectrum of meaning ranging from erotic and familial love to loyalty and self-love. Second, the majority of references to ‘love’ come from or concern Richard and his chief assistant Buckingham, both of whom use the word for purposes of deception. Third, the type of love that is absent from all characters, including antagonist Richmond and those who display sincere love for their family or monarch, is ‘charity,’ the highest form of love modeled on God’s unconditional love for humanity. From these observations, it can be concluded that Shakespeare explores the broad spectrum of human love in order to satirize the absence of charity from the powerful figures that inhabit the world of Richard III as well as to expose the limitations and vulnerability of human love. If Richard III is a play of ‘love,’ as the corpus data suggests, it is not a critique of the title character but of the lack of charity in the world he was born into.

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!

최근 본 자료

전체보기

댓글(0)

0