Earticle

초록

영어

Translators generally use a bilingual dictionary to find equivalences between two different languages. However, one disadvantage of existing dictionaries is that they do not immediately reflect new expressions and their real usage. In this context, Web as corpus serves as a useful translation dictionary. In this article, we investigated Korean-French translation equivalences of certain keywords related to an infectious disease, COVID-19, from the Web as corpus. We took translated words or expressions suggested by existing Korean-French dictionary, and searched for them using the Web as a corpus to ascertain their real-life usages. We confirmed that while existing dictionaries play an important role in translation, they have some restrictions. While this finding does not mean that the Web as corpus wholly substitutes existing bilingual dictionaries, we confirmed that it could support the dictionaries in identifying the real usage of target language or in recognizing real-world expressions used by native speakers.

목차

Abstract
I. 들어가는 말
II. 번역 등가어와 웹 코퍼스
1. 번역 등가어(형태 혹은 의미)
2. 웹 코퍼스 : 코퍼스의 확장
III. 분석 사례
1. 분석 대상 및 방법
2. 사례 분석
IV. 결론
참고문헌

저자

• 조준형 [ Cho, Joon-Hyung | 고려대학교 ]

참고문헌