Errors in Coherence and Logic Embodied in the Microsoft Machine Translation Text— Based on the corpus of the Chinese-English translation texts taken from the 30th Han Suyin International Translation Contest
Authors
Min Yang, Fan Jia
Corresponding Author
Fan Jia
Available Online July 2019.
- DOI
- 10.2991/ichssd-19.2019.10How to use a DOI?
- Keywords
- Microsoft machine translation text, errors, discourse, coherence and logic.
- Abstract
Based on the corpus of the original text, the Microsoft machine translation text, the human-translated text as well as the reference text taken from the 30th Han Suyin International Translation Contest, the paper establishes the error classification standard from three language levels and then focuses on the typical errors in coherence and logic embodied in the Microsoft machine translation text from the discourse level, aiming to provide the Microsoft machine translation system with reference and enlightenment for better translation quality and accuracy in the future.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Min Yang AU - Fan Jia PY - 2019/07 DA - 2019/07 TI - Errors in Coherence and Logic Embodied in the Microsoft Machine Translation Text— Based on the corpus of the Chinese-English translation texts taken from the 30th Han Suyin International Translation Contest BT - Proceedings of the 2019 4th International Conference on Humanities Science and Society Development (ICHSSD 2019) PB - Atlantis Press SP - 49 EP - 56 SN - 2352-5398 UR - https://doi.org/10.2991/ichssd-19.2019.10 DO - 10.2991/ichssd-19.2019.10 ID - Yang2019/07 ER -