Research ArticleOpen AccessGoogle Scholar indexed
Review on Machine Translation Post-Editing of Science and Technology Texts in China
School of Arts and Sciences, Shaanxi University of Science and Technology, Xi’an, China
School of Arts and Sciences, Shaanxi University of Science and Technology, Xi’an, China
School of Arts and Sciences, Shaanxi University of Science and Technology, Xi’an, China
School of Arts and Sciences, Shaanxi University of Science and Technology, Xi’an, China
School of Marxism, Shaanxi University of Science and Technology, Xi’an, China
- 1 School of Arts and Sciences, Shaanxi University of Science and Technology, Xi’an, China
- 2 School of Arts and Sciences, Shaanxi University of Science and Technology, Xi’an, China
- 3 School of Arts and Sciences, Shaanxi University of Science and Technology, Xi’an, China
- 4 School of Arts and Sciences, Shaanxi University of Science and Technology, Xi’an, China
- 5 School of Marxism, Shaanxi University of Science and Technology, Xi’an, China
Open Journal of Modern Linguistics·Volume 10 (2020)·Pages 1–10·Published 15 January 2020·DOI10.4236/ojml.2020.101001
Copy link · social · email
Abstract
Nowadays, with the popularization of machine translation software, new progress has been made in the development of machine translation post-editing of science and technology texts. However, researches on science and technology text post-editing in China has not been developed correspondingly. This paper collates and summarizes all the literatures on science and technology text post-editing in China, makes them into four categories based on the type of source texts and provides the corresponding features and analyses respectively, sorts out three major problems of current researches in this field, and points out targeted future research directions, so as to make a detailed analysis of problems and promote progress in this field.
KeywordsScience and Technology TextPost-EditingMachine Translation
- Chen, Q. Z. (2014). Translation Report on the Application of Machine Translation and Post-Editing on EST Translation. Chongqing: Chongqing University.
- Cui, Q. L., & Li, W. (2015). Research on Types of Post-Editing Errors Based on English-Chinese Machine Translation of Scientific and Technological Texts. Chinese Science & Technology Translators Journal, 28, 19-22.
- Cui, Y. Q. (2017). Cultivation of Translation Skills—A Case Study of Science and Technology Course in Nanyang Technological University. Chinese Science & Technology Translators Journal, 30, 23-25.
- Deng, H. M. (2013). A Study of Technical Texts Translation from the Perspective of Skopos Theory—A Report on Chinese Translation of Translation and Technology. Qingdao: Ocean University of China.
- DePalma, D. A., & Hegde, V. (2010). The Market for MT Post-Editing. Cambridge, MA: Common Sense Advisory.
- Feng, Q. G., & Cui, Q. L. (2016). Research Focuses and Trends in Post-Editing of Machine Translation. Shanghai Journal of Translators, No. 6, 67-74 + 89 + 94.
- Fu, S. H. (2017). On Post-Editing of Machine Translation—A Report of Translating Translation and Web Localization (Excerpt) with Trados. Guangzhou: Guangdong University of Foreign Studies.
- Fu, S. Y. (2016). The Critical Application of Machine Translation in Translation Practice—A Case of Search Engine Marketing, Inc. Translation Program. Qingdao: Qingdao University of Science and Technology.
- Guo, G. P., & Wang, Z. Y. (2017). Research on the Pre-Edit and Post-Edit of Machine Translation in Science and Technology Text Translation. Journal of Zhejiang International Studies University, No. 3, 76-83.
- Liu, M. Q. (1998). English Varieties and Translation (p. 507). Beijing: China Foreign Translation Publishing Company.
- Tang, Y. F. (2019). A Feasibility Analysis of MT + PE in Translation of Different Types of Documents—A Case Study Based on a Lift Assembly Manual and a Video Script Translation Projects. Shanghai: Shanghai International Studies University.
- Wang, F. (2017). A Report on the Translation of Machine Translation for Human Translators (Chapter One). Zhengzhou: Zhengzhou University.
- Wang, J. (2017). An English Chinese Translation Report on “Curriculum Development” Based on Machine Translation. Chengdu: University of Electronic Science and Technology of China.