Earticle

초록

영어

This study was to analyze errors of machine translations(MTs) of the texts for middle and high school students, and to offer guidelines on how to use them. To this end, total 4760 machine-translated sentences from two test-preparing books and one novel for middle and high school students were analyzed to 5 types of errors. 5 types errors used were ‘incorrect meaning errors’, ‘context errors’, ‘omission error’, ‘grammar errors’, and ‘typing error.’ The results of the analyzation showed that Naver and Google Translations had 3.8% error and 96.2% proper sentences. The most frequent error was ‘incorrect meaning errors’, followed by ‘omission error’, ‘context errors’, ‘grammar errors’, and ‘typing error’ in high frequent order. Naver and Google machine translations used in the study offered 96.2% proper sentences, so middle and high school students can compare their own English sentences with machined translated sentences. Moreover with the knowledge of errors of MTs, students can correct errors of MTs and use them properly.

목차

Abstract
1. 서론
2. 이론적 배경
2.1. 기계 번역
2.2. 학습도구로써 기계번역
3. 연구 방법
3.1. 분석 대상 텍스트
3.2. 연구절차
4. 분석 및 결과 논의
4.1. 유 오류 문장
4.2. 무오류 문장
5. 결론
참고문헌

키워드

오류 분석 기계번역 네이버와 구글 기계 번역 영어 학습 도구 중· 고등학교 영어 기계번역의 오류 error analysis machine translators Naver and Google Machine Translators English learning tools middle and high school English errors of Machine Translators

저자

• 최지연 [ Ji-Yeon Choi | 부산대학교/대학원생 ] 제1저자
• 전지현 [ Jihyun Jeon | 부산대학교/교수 ] 교신저자

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