포스트에디팅의 번역사 수용에 관한 예비연구 - 한일 기계번역을 중심으로
A Preliminary Study on Acceptance of Korean-Japanese Machine Translation Post-editing
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초록
The Korean-Japanese language pair is known to have relatively high machine translation accuracy compared to other language combinations, but research on actual case studies as to the efficiency of Korean-Japanese machine translation post-editing (MTPE) has been limited. This study investigated the acceptance attitude of translators through a Korean-Japanese MTPE experiment. The subjects of the experiment were translators who had graduated from graduate schools of translation and interpretation and were without MTPE experience, who were asked to perform MTPE using Google Translate and Naver Papago as well as human translation (HT), to compare progress, performance and response to guidelines provided or not provided. The result showed differences in progress between HT and MTPE as well as differences between Google and Naver platforms, while the productivity of HT was in part associated with that of MTPE depending on individual translators. The participants agreed on the need for guidelines, but they were less sure about the scope of post-editing. After each experiment, they said MTPE would be increasingly practiced in the future, giving rise to the need for relevant translator training. However, they also said they preferred HT, indicating a passive attitude in accepting MTPE.
Abstract
The Korean-Japanese language pair is known to have relatively high machine translation accuracy compared to other language combinations, but research on actual case studies as to the efficiency of Korean-Japanese machine translation post-editing (MTPE) has been limited. This study investigated the acceptance attitude of translators through a Korean-Japanese MTPE experiment. The subjects of the experiment were translators who had graduated from graduate schools of translation and interpretation and were without MTPE experience, who were asked to perform MTPE using Google Translate and Naver Papago as well as human translation (HT), to compare progress, performance and response to guidelines provided or not provided. The result showed differences in progress between HT and MTPE as well as differences between Google and Naver platforms, while the productivity of HT was in part associated with that of MTPE depending on individual translators. The participants agreed on the need for guidelines, but they were less sure about the scope of post-editing. After each experiment, they said MTPE would be increasingly practiced in the future, giving rise to the need for relevant translator training. However, they also said they preferred HT, indicating a passive attitude in accepting MTPE.
참고문헌 (34)
- 강수정, "전문번역사들의 NMT에 대한 인식과 수용에 관한 연구 —심층인터뷰를 중심으로", 번역학연구, 21(3), pp.9~35 (2020), 한국번역학회[DOI]
- 김순미, "신경망번역기(NMT) 활용 학부 번역교육의 가능성 연구", 통번역교육연구, 15(3), pp.5~37 (2017), 한국통번역교육학회[DOI]
- 김순미, "번역학계와 언어서비스업체(LSP)간 산학협력연구: ‘포스트에디팅 생산성’과 ‘기계번역 엔진 성능 비교’", 번역학연구, 20(1), pp.41~76 (2019), 한국번역학회[DOI]
- 마승혜, "한영 기계번역 포스트 에디팅에 대한 경험적 고찰: 학부 교육 과정 및 결과를 중심으로", 통번역학연구, 22(1), pp.53~88 (2018), 통번역연구소[DOI]
- 명선혜, "전문 번역사의 MTPE 인식 전환 가능성 모색 —아비투스 개념을 중심으로", 번역학연구, 21(3), pp.37~62 (2020), 한국번역학회[DOI]
- 박지영, "언어 기술 혁신과 통번역 산업의 미래: 20대 글로벌 LSP의 통번역 서비스 분석을 바탕으로", 통번역학연구, 21(1), pp.137~168 (2017), 통번역연구소[DOI]
- 박혜경, "석사 과정의 기계번역 수업에 대한 소고: 한일번역 전공생의 포스트에디팅 사례를 통하여", 번역학연구, 19(3), pp.163~193 (2018), 한국번역학회[DOI]
- 신지선, "테크놀로지 패러다임에서의 번역능력 재조명", 통번역학연구, 21(4), pp.51~71 (2017), 통번역연구소[DOI]
- 신지선, "번역 교육의 새로운 ‘통합’ 패러다임 제안", 통번역교육연구, 17(2), pp.43~62 (2019), 한국통번역교육학회[DOI]
- 신지선, "‘연구방법론’중심의 통번역학 연구", 통번역교육연구, 18(2), pp.79~98 (2020), 한국통번역교육학회[DOI]
- 이상빈, "학부번역전공자의 기계번역 포스트에디팅, 무엇이 문제이고, 무엇을 가르쳐야 하는가?", 통역과 번역, 19(3), pp.37~64 (2017), 한국통역번역학회[DOI]
- 이주리애, "인공신경망 기계 번역의 한일", 일한 번역 품질에 대한 예비연구-품질향상 검토와 교열코드 적용-, 2018, pp.20(1), 43~71[DOI]
- 이주리애, "한일 헤드라인 번역의 포스트에디팅 가이드라인 고찰", 통역과 번역, 21(2), pp.119~144 (2019), 한국통역번역학회[DOI]
- 이준호, "한영 포스트에디팅, 누구나 수행할 수 있는가?: 포스트에디팅 수업 설계를 위한 예비 연구", 번역학연구, 22(1), pp.171~198 (2021), 한국번역학회[DOI]
- 이준호, "영한 포스트에디팅 생산성에 대한 고찰- 시간적 노력을 중심으로", 통번역학연구, 25(2), pp.55~83 (2021), 통번역연구소[DOI]
- 최문선, "국내 번역학 기계번역 연구 동향:내용 분석과 키워드 분석을 중심으로", 언어학연구, 24(1), pp.275~297 (2019), 한국언어연구학회[DOI]
- Aranberri, N., "Comparison of post-editing productivity between professional translators and lay users", Proceeding of AMTA Third Workshop on Post-editing Technology and Practice (WPTP-3), pp.20~33 (2014)
- Cadwell, P., "Human factors in machine translation and post-editing among institutional translators", Translation spaces, 5(2), pp.222~243 (2016)
- Cadwell, P., "Resistance and accommodation : factors for the(non-)adoption of machine translation among professional translators", Perspectives, 26(3), pp.301~321 (2018)
- Gaspari, F., "Perception vs reality : Measuring machine translation post-editing productivity", Third Workshop on Post-Editing Technology and Practice, pp.60~72 (2014)
- Guerberof-Arenas, A., "‘What Do Professional Translators Think about Post-editing?’", The Journal of Specialised Translation, 19, pp.75~95 (2013)
- Lee, J., "A Study on Post-editing Guidelines for Korean-Japanese and Japanese-Korean Machine Translated Informative Texts–Focused on the suitability of implementing post-editing guidelines in translation courses -", 한국외국어대학교 통번역연구소 학술대회, pp.31~33 (2019)
- Koponen, M., "Is machine translation post-editing worth the effort? A survey of research into post-editing and effort", The Journal of Specialised Translation, 25, pp.131~148 (2016)
- Koponen, M., "A product and process analysis of post-editor corrections on neural, statistical and rule-based machine translation output", Machine Translation, 33(1), pp.61~90 (2019)
- Krings, H. P., "Repairing texts: Empirical investigations of machine translation post-editing processes (Vol. 5)" (2001), Kent State University Press
- Lesznyák, Á., "Hungarian translators’ perceptions of neural machine translation in the European commission", Proceedings of Machine Translation Summit XVII Volume 2:Translator, Project and User Tracks, pp.16~22 (2019)
- Moorkens, J., "Translators’perceptions of literary post-editing using statistical and neural machine translation", Translation Spaces, 7(2), pp.240~262 (2018)
- Plitt, M., "A productivity test of statistical machine translation post-editing in a typical localisation context", The Prague bulletin of mathematical linguistics, 93(1), pp.7~16 (2010)
- Sakamoto, A., "‘Why Do Many Translators Resist Post-editing? A Sociological Analysis Using Bourdieu’s Concepts’", The Journal of Specialised Translation, 31, pp.201~216 (2019)
- Yamada, M., "Can college students be post-editors? An investigation into employing language learners in machine translation plus post-editing settings", Machine Translation, 29(1), pp.49~67 (2014)
- Yamada, M., "The impact of Google Neural Machine Translation on Post-editing by student translators", The Journal of Specialised Translation, 31, pp.87~106 (2019)
- "立教SFR 翻訳研究プロジェクト．翻訳「革命」期における翻訳者養成：公開シンポジウムの報告と今後の取組み" (2013)[URL]
- 呉浩東, "機械翻訳の原理と研究動向", マテシス・ウニウェルサリス, 20(2), pp.27~41 (2019)
- 山田優, "ポストエディットと持続可能な翻訳の未来", Journal of foreign language studies, 24, pp.83~105 (2021)