Crowdsourced translation and machine translation and their implications in the digital age: A case study of Flitto
0
조회
0
다운로드
8
인용
0
참고문헌
키워드
초록
In the digital era, Internet users are actively participating in translation using online platforms and machine translation. Now, crowdsourced translation platforms are in active operation, affecting the overall translation landscape. This case study explores how one of the biggest crowdsourced translation platforms in the world, Flitto, uses general and professional translators, develops translation memories, and uses machine translation. It analyzes Flitto’s services and track record and derives implications for general users and professional translators in the digital era: imposition of literal translation, active use of MT and continued development of MT, decline in translation rates, and unclear intellectual property rights clauses. In conclusion, this study offers several suggestions with focus on the jobs of professional translators and translation researchers, specifically with regard to education of the general public on good translation, development of professional translation databases, using MT and TM in ways that raise translation productivity, development of efficient and effective post-editing strategies, and requesting clarification of intellectual property rights to translation work and educating the public about the rights.
Abstract
In the digital era, Internet users are actively participating in translation using online platforms and machine translation. Now, crowdsourced translation platforms are in active operation, affecting the overall translation landscape. This case study explores how one of the biggest crowdsourced translation platforms in the world, Flitto, uses general and professional translators, develops translation memories, and uses machine translation. It analyzes Flitto’s services and track record and derives implications for general users and professional translators in the digital era: imposition of literal translation, active use of MT and continued development of MT, decline in translation rates, and unclear intellectual property rights clauses. In conclusion, this study offers several suggestions with focus on the jobs of professional translators and translation researchers, specifically with regard to education of the general public on good translation, development of professional translation databases, using MT and TM in ways that raise translation productivity, development of efficient and effective post-editing strategies, and requesting clarification of intellectual property rights to translation work and educating the public about the rights.
참고문헌 (29)
- Cronin, Michael, "Text and Context", pp.303~318 (2010), St. Jerome
- Doherty, Stephen, "The Impact of Translation Technologies on the Process and Product of Translation", International Journal of Communication, 10, pp.947~969 (2016)
- Fernandez Costales, Alberto, "Collaborative Translation Revisited: Exploring the Rationale and Motivation for Volunteer Translation", Forum, 10(1), pp.115~142 (2012)
- "Language Technology" (2017)[URL]
- "Flitto, a Collective Intelligence Translation Application" (2015)[URL]
- "The Proper Place of Professionals (and Non-professionals and Machines) in Web Translation" (2010)[URL]
- "Crowdsourcing: A Definition" (2006)[URL]
- Howe, Jeff, "Crowdsourcing : Why the Power of the Crowd Is Driving the Future of Business" (2008), The Crown
- Ishwarappa, Kalbandi, "A Brief Introduction on Big Data 5Vs Characteristics and Hadoop Technology", Procedia Computer Science, 48, pp.319~324 (2015)
- "Freelance Translators Clash with LinkedIn over Crowdsourced Translation" (2009)[URL]
- Kim, Sanghoon, "World Trends for the Next Three Years" (2009), Hans Media
- 김순미, "온라인 커뮤니티 크라우드소싱 번역 —비키(Viki)의 참여 자막번역을 중심으로", 번역학연구, 18(2), pp.67~96 (2017), 한국번역학회
- "Statistical vs. Neural Machine Translation" (2017)[URL]
- Leadbeater, Charles, "WE-THINK: Mass Innovation, not Mass Production" (2009), 21 Century Books
- "Flitto and Big Data" (2014)[URL]
- 이지민, "사이버 공간에서의 번역 관련 집단지성 커뮤니티 연구", 통번역학연구, 17(1), pp.177~202 (2013), 통번역연구소
- 이지민, "집합지성과 네티즌 번역 특징에 관한 탐색적 사례 연구", 통번역학연구, 18(4), pp.141~166 (2014), 통번역연구소
- "Flitto Provides Translation Services to Tencent Incubating Center" (2017)[URL]
- "Flitto Offers 50 Language Translation Service to LG Smartworld" (2017)[URL]
- Levy, Pierre, "Collective Intelligence: Mankind’s Emerging World in Cyberspace" (2002), Munji
- "Flitto Offers Language Data to ETRI for Interpreting Service Development" (2016)[URL]
- "Neural Machine Translation: How Artificial Intelligence Works When Translating Language" (2017)[URL]
- "Flitto Begins Export to Baidu, China, Becoming a Global Translation Application Company" (2017)[URL]
- O’Hagan, Minako, "Evolution of User-generated Translation: Fansubs, Translation Hacking and Crowdsourcing", The Journal of Internationalization and Localization, 1(1), pp.94~121 (2009)
- 박지영, "언어 기술 혁신과 통번역 산업의 미래: 20대 글로벌 LSP의 통번역 서비스 분석을 바탕으로", 통번역학연구, 21(1), pp.137~168 (2017), 통번역연구소
- Pérez-González, Luis, "Intervention in New Amateur Subtitling Cultures: a Multimodal Account", Linguistica Antverpiensia, 6, pp.67~80 (2007)
- Perrino, Saverio, "User-generated Translation: The Future of Translation in a Web 2.0 Environment", The Journal of Specialized Translation (2009)
- Pym, Anthony, "Democratizing Translation Technologies: The Role of Hunmanistic Research", Proceedings of the Luspio Translation Automation Conference (2011)
- "Combination of Human Translation and Machine Translation - CEO of Translation Platform Flitto, Jeongsoo Lee" (2017)[URL]
