Comparative Study of Crowdsourcing Translation, Machine Translation and Computer-aided Translation in the Information Age
- DOI
- 10.2991/assehr.k.201127.070How to use a DOI?
- Keywords
- crowdsourcing translation, machine translation, computer-aided translation
- Abstract
The possibilities afforded by information and computer technology in rendering the translator’s work more efficiently and effectively are diverse and far-reaching. Meanwhile, with the rapid development in language service industry, translation technology itself is becoming a diversified and hybrid technology and its varied level of utilization has satisfied demands of language services industries at different levels. Crowdsourcing translation, machine translation and computer-aided translation have played critical roles in the process of translation in the information age. This paper firstly illustrates the basic concepts of crowdsourcing translation, machine translation and computer-aided translation from a comparative point of view, then demonstrates the integration and application of the above technologies in translation process and proposes that the proper understanding and application of translation technology will help to achieve the future localization paradigm that is targeted: low cost, high speed and high quality. The paper also examines the relationship between crowdsourcing translation, machine translation and computer-aided translation, and holds the opinion that they do not represent a fundamentally new form of translation, but merely a more recent stage of translation practice in the information age.
- Copyright
- © 2020, 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 - Zhen’gang Yang PY - 2020 DA - 2020/11/28 TI - Comparative Study of Crowdsourcing Translation, Machine Translation and Computer-aided Translation in the Information Age BT - Proceedings of the 2020 Conference on Education, Language and Inter-cultural Communication (ELIC 2020) PB - Atlantis Press SP - 347 EP - 352 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201127.070 DO - 10.2991/assehr.k.201127.070 ID - Yang2020 ER -