국내학부 영어전공자들의 한영 기계번역 품질에 대한 정의적 특성 분석
Analyzing Korean College English Majors’ Affective Characteristics toward the Quality of Korean-to-English Machine Translation
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The purpose of this research is to explore the attitudes of Korean college English majors toward the quality of machine translation (MT), its effectiveness in language learning, and to gather suggestions for potential improvements. This study involved 63 English major students who had completed at least one semester of English writing courses or had prior experience using MT in their individual learning. The online-based survey was conducted at the end of the semester, and the collected data were analyzed using JAMOVI, an open-source statistical software program. The results of data analysis revealed the following findings: 1) participants’ satisfaction with the quality of machine translation was relatively low, with a mean score of 2.66 out of 5; 2) the mean scores for learning and feedback effectiveness of using MT were 3.33 and 3.79, respectively, which were somewhat higher than the satisfaction level for the MT quality; 3) The mean score for the seven questions regarding suggestions for potential improvements was 4.07. This indicates a strong emphasis on the necessity for improving the quality of MT. Based on these research findings, pedagogical implications for the effective use of MT in English writing classes were proposed.
Abstract
The purpose of this research is to explore the attitudes of Korean college English majors toward the quality of machine translation (MT), its effectiveness in language learning, and to gather suggestions for potential improvements. This study involved 63 English major students who had completed at least one semester of English writing courses or had prior experience using MT in their individual learning. The online-based survey was conducted at the end of the semester, and the collected data were analyzed using JAMOVI, an open-source statistical software program. The results of data analysis revealed the following findings: 1) participants’ satisfaction with the quality of machine translation was relatively low, with a mean score of 2.66 out of 5; 2) the mean scores for learning and feedback effectiveness of using MT were 3.33 and 3.79, respectively, which were somewhat higher than the satisfaction level for the MT quality; 3) The mean score for the seven questions regarding suggestions for potential improvements was 4.07. This indicates a strong emphasis on the necessity for improving the quality of MT. Based on these research findings, pedagogical implications for the effective use of MT in English writing classes were proposed.
참고문헌 (27)
- 강수정, "전문번역사들의 NMT에 대한 인식과 수용에 관한 연구 —심층인터뷰를 중심으로", 번역학연구, 21(3), pp.9~35 (2020), 한국번역학회[DOI]
- 김은영, "AI기계번역을 활용한 외국어교육의 방향성- 포스트에디팅 수업 사례를 통해 -", 언어학연구, 26(1), pp.23~42 (2021), 한국언어연구학회
- 김혜경, "AI 기반 영작문 학습도구에 대한 대학생 학습자 인식: Google Translate, Naver Papago, 그리고 Grammarly를 중심으로", 현대영어교육, 22(4), pp.90~100 (2021), 현대영어교육학회[DOI]
- 박권호, "영어학습 도구로서 기계번역기의 가용성 분석 - as구문 역번역을 통하여", 한국콘텐츠학회 논문지, 21(5), pp.259~267 (2021), 한국콘텐츠학회[DOI]
- 박혜선, "학부 교양영어 수업에서의 기계번역 포스트에디팅: 사용자 인식과 오류를 중심으로", 번역학연구, 24(1), pp.71~107 (2023), 한국번역학회[DOI]
- 백지연, "한-영 기계번역 결과물의 오류 유형 및 원인 분석: 형태적·구문적 오류를 중심으로", 문화기술의 융합, 8(4), pp.199~204 (2022), 국제문화기술진흥원
- 안미영, "한국어와 영어의 언어적 차이에 따른 기계번역의 문제점과 그에 대한 포스트 에디팅 방향 제안", 영어영문학, 25(1), pp.103~130 (2020), 미래영어영문학회[DOI]
- 이상민, "L2 작문 수정에 미친 기계번역의 효과성에 대한 한국 대학생 학습자의 인식", 멀티미디어 언어교육, 22(4), pp.206~225 (2019), 한국멀티미디어언어교육학회[DOI]
- 이상민, "인공신경망 기계번역의 오류분석 및 퀄리티 평가", 외국어교육연구, 34(4), pp.129~153 (2020), 외국어교육연구소[DOI]
- 이정화, "A Study on the Effectiveness of Machine Translators for University Freshmen in Translating Korean Writing into English", 학습자중심교과교육연구, 19(8), pp.155~180 (2019), 학습자중심교과교육학회[DOI]
- 이종은, "온라인 번역기 사용이 대학생의 영작 능력과 영작 능력 향상에 대한 자기 평가에 미치는 영향", 학습자중심교과교육연구, 20(21), pp.31~49 (2020), 학습자중심교과교육학회[DOI]
- 임희주, "교양영어 수업에서 영어자동번역기 사용에 대한 대학생의 인식 및 태도연구 ― 영작문 수업을 중심으로", 교양교육연구, 11(6), pp.727~751 (2017), 한국교양교육학회
- 정남숙, "AI 번역기를 활용한 활동이 대학생 영어쓰기 능력과 정의적 태도에 미치는 영향", 멀티미디어 언어교육, 24(1), pp.134~157 (2021), 한국멀티미디어언어교육학회[DOI]
- 조인희, "기계번역을 활용한 영어작문 수업의 효과: 자기 효능감과 글쓰기의 양적 증가를 중심으로", 영어영문학연구, 60(2), pp.253~279 (2018), 한국중앙영어영문학회[DOI]
- 백지연, "An Analysis of EFL Students’ Uptake to Teacher’s Explicit and Implicit Feedback in an L2 Writing Class", 언어학 연구, (62), pp.337~356 (2022), 한국중원언어학회[DOI]
- 백지연, "Korean College Students’ Self-Directed Use of Machine Translator in an English Writing Class During the Digital Era: Is This a Crisis or a Chance?", Journal of Safety and Crisis Management, 11(6), pp.27~34 (2021), (사)위기관리이론과실천[DOI]
- 백지연, "An Analysis of Semantic Errors in Machine-Translated English Compositions by Korean EFL College Students", The International Journal of Advanced Culture Technology, 10(3), pp.71~76 (2022), 국제문화기술진흥원
- 백지연, "Korean College Students’ Utilization of Machine Translation Tools for their Presentation Scripts", Foreign Languages Education, 29(3), pp.1~25 (2022), 한국외국어교육학회
- Briggs, N., "Neural machine translation tools in the language learning classroom : Students’ use, perceptions, and analyses", Jalt CALL Journal, 14(1), pp.3~24 (2018)
- Garcia, I., "Machine translation-assisted language learning : Writing for beginners", Computer Assisted Language Learning, 24(5), pp.471~487 (2011)
- Niño, A., "Machine translation in foreign language learning:Language learners’ and tutors’ perceptions of its advantages and disadvantages", ReCALL, 21, pp.105~122 (2009)[DOI]
- Niño, A., "Exploring the use of online machine translation for independent language learning", Research in Learning Technology, 28, pp.1~32 (2020)[DOI]
- Somers, H., "Detecting inappropriate use of free online machine-translation by language students - A special case of plagiarism detection", Proceedings of the 11th Annual Conference of the European Association for Machine Translation, pp.41~48 (2006)
- Strauss, A. L., "Basics of qualitative research:Grounded theory procedures and techniques" (1990), Sage Publications
- Sun, D. Y., "Application of post-editing in foreign language teaching : Problems and challenges", Canadian Social Science, 13(7), pp.1~5 (2017)
- Tsai, S. -C., "Using Google Translate in EFL drafts: A preliminary investigation", Computer-Assisted Language Learning, 32(5-6), pp.510~526 (2019)
- White, K. D., "Our policies, their text : German language students’ strategies with and beliefs about web-based machine translation", Die Unterrichtspraxis, 46(2), pp.230~250 (2013)[DOI]