On the Perception of Human Translation and Machine Translation Post-Editing among Vietnamese Translators
0
조회
0
다운로드
0
인용
0
참고문헌
초록
The translation paradigm has radically shifted from translation-from-scratch by humans, to translation done with the help of machines—especially during the last decade. Nevertheless, the role of humans in the translation process remains, but altered, for both academic and occupational purposes. This article touches on the perception of the processes and products of human translation (HT) and machine-translation post-editing (MTPE). Three hypotheses were proposed to understand perceptions between HT and MTPE: (1) the difference in the level of difficulty in searching for ‘vocabulary’ and ‘terminology’; (2) the difference in the level of satisfaction with the ‘accuracy’ and ‘fluency,’ and with the usage of ‘terminology’ and ‘idioms’ in the products; and (3) the difference in the level of satisfaction with the ‘pay’ for the work between HT and MTPE. Survey data were collected from 94 student translators in Vietnam, an Asian nation where multinational translation services prevail. The results reveal that the Vietnamese participants perceive that ‘vocabulary’ and ‘terminology’ searches can be more conveniently carried out in MTPE than in HT; the participants are equally satisfied with accuracy and fluency of HT and MTPE; and the participants generally satisfied with the pay for the translation services both in HT and MTPE.
Abstract
The translation paradigm has radically shifted from translation-from-scratch by humans, to translation done with the help of machines—especially during the last decade. Nevertheless, the role of humans in the translation process remains, but altered, for both academic and occupational purposes. This article touches on the perception of the processes and products of human translation (HT) and machine-translation post-editing (MTPE). Three hypotheses were proposed to understand perceptions between HT and MTPE: (1) the difference in the level of difficulty in searching for ‘vocabulary’ and ‘terminology’; (2) the difference in the level of satisfaction with the ‘accuracy’ and ‘fluency,’ and with the usage of ‘terminology’ and ‘idioms’ in the products; and (3) the difference in the level of satisfaction with the ‘pay’ for the work between HT and MTPE. Survey data were collected from 94 student translators in Vietnam, an Asian nation where multinational translation services prevail. The results reveal that the Vietnamese participants perceive that ‘vocabulary’ and ‘terminology’ searches can be more conveniently carried out in MTPE than in HT; the participants are equally satisfied with accuracy and fluency of HT and MTPE; and the participants generally satisfied with the pay for the translation services both in HT and MTPE.
참고문헌 (32)
- Alonso, E., "Developing a blueprint for a technology-mediated approach to translation studies", Journal des Traducteurs, 2015, pp.60(1), 135~157
- Belcher, D. D., "Seeking acceptance in an English-only research world", Journal of Second Language Writing, 16(1), pp.1~22 (2007)[DOI]
- Cadwell, P., "Resistance and accommodation : factors for the(non-)adoption of machine translation among professional translators", Studies in Translation Theory and Practice, 26(3), pp.301~321 (2018)
- Castilho, S., "Does post-editing increase usability? A study with Brazilian Portuguese as Target Language", Proceedings of the 17th Annual conference of the European Association for Machine Translation, pp.183~190 (2014), Croatian Language Technologies Society
- Daems, J., "Identifying the machine translation error types with the greatest impact on post-editing effort", Frontiers in Psychology, 8, pp.1282~ (2017)[DOI]
- Daems, J., "Translation methods and experience : A comparative analysis of human translation and post-editing with students and professional translators", Meta : Translators’ Journal, 62(2), pp.245~270 (2017)
- Doherty, S., "The impact of translation technologies on the process and product of translation", International Journal of Communication, 10, pp.647~967 (2016)
- Doherty, S., "The design and evaluation of a statistical machine translation syllabus for translation students", The Interpreter and Translator Trainer, 8(2), pp.295~315 (2014)
- Fiederer, R., "Quality and machine translation : A realistic objective", The Journal of Specialised Translation, 11, pp.52~74 (2009)
- Gambier, Y., "Changing landscape in translation", International Journal of Society, Culture &Language, 2(2), pp.1~12 (2014)
- Garcia, I., "Is machine translation ready yet", Target, 22(1), pp.7~21 (2010)
- Garcia, I., "Translating by post-editing : is it the way forward", Machine Translation, 25(3), pp.217~ (2011)
- Guerberof, A. A., "Proceedings of the MT Summit XII Beyond Translation Memories Workshop (WS3)", Proceedings of the MT Summit XII Beyond Translation Memories Workshop (WS3) (2009), International Association for Machine Translation
- Guerberof, A. A., "What do professional translators think about postediting", The Journal of Specialised Translation, 19, pp.75~95 (2013)
- Guerberof, A. A., "Post-editing of Machine Translation: Processes and Applications", pp.51~76 (2014), Newcastle:Cambridge Scholars Publishing
- 홍정희, "A Satisfaction Survey on the Human Translation Outcomes and Machine Translation Post-Editing Outcomes", The International Journal of Advanced Smart Convergence, 10(2), pp.86~96 (2021), 한국인터넷방송통신학회[DOI]
- Kenny, D., "Across Boundaries: International Perspectives on Translation", pp.192~208 (2007), Cambridge Scholars Publishing
- Kenny, D., "Statistical machine translation in the translation curriculum : overcoming obstacles and empowering translators", The Interpreter and Translator Trainer, 8(2), pp.276~294 (2014)
- 김순미, "AI시대 인간번역과 기계(NMT)번역의 공존-경영학 ‘확장(Augmentation)전략’ 중심", 통역과 번역, 20(2), pp.1~32 (2018), 한국통역번역학회[DOI]
- Knowles, R., "A user study of neural interactive translation prediction", Machine Translation, 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)
- 이일재, "A Quality Comparison of English Translations of Korean Literature between Human Translation and Post-Editing", The International Journal of Advanced Culture Technology, 6(4), pp.165~171 (2018), 국제문화기술진흥원[DOI]
- Luo, N., ""I won’t publish in Chinese now" : Publishing, translation, and the non-English speaking academic", Journal of English for Academic Purposes, 39, pp.37~47 (2019)[DOI]
- O’Brien, S., "Towards predicting post-editing productivity", Machine Translation, 25(3), pp.1~26 (2011)
- 박주현, "인공지능(AI) 기반 언어 학습 도구 개발 연구: 대학 수준의 일반 학술 목적 영어(EGAP)를 중심으로", ESP Review, 3(1), pp.25~38 (2021), 한국ESP학회[DOI]
- 박지영, "언어 기술 혁신과 통번역 산업의 미래: 20대 글로벌 LSP의 통번역 서비스 분석을 바탕으로", 통번역학연구, 21(1), pp.137~168 (2017), 통번역연구소[DOI]
- Plitt, M., "A productivity test of statistical machine translation post-editing in a typical localisation context", The Prague Bulletin of Mathematical Linguistics, 93, pp.7~16 (2010)
- 심창용, "인공지능 기반 번역기 활용 교육: Pre-editing", ESP Review, 4(1), pp.85~102 (2022), 한국ESP학회[DOI]
- Taravella, A. M., "Acknowledging the needs of computer-assisted translation tools users : the human perspective in human-machine translation", The Journal of Specialised Translation, 19, pp.62~74 (2013)
- Temizöz, Ö., "Postediting machine translation output : subject-matter experts versus professional translators", Perspectives : Studies in Translatology, 24(4), pp.646~665 (2013)
- Zhou, S., "Towards a digital bilingualism? Students’ use of machine translation in international higher education", Journal of English for Academic Purposes, 60, pp.1475~1585 (2022)[DOI]
- Zong, Z., "Research on the relations between machine translation and human translation", Journal of Physics : Conference Series, 1087(6), pp.062046~ (2018)[DOI]