Wang, B and Ping, Y (2020) Perceptions of Machine Translation and Computer-Aided Translation by Professionals and the General Public: A Survey Study Based on Articles in Professional Journals and in the Media. International Journal of Translation, Interpretation, and Applied Linguistics, 2 (2). pp. 1-14. ISSN 2575-6974
Abstract
This article examines perceptions of MT and CAT among translation professionals and the general public by surveying 124 articles published in the professional journals of ITI Bulletin and MultiLingual and in the Chinese media between 2017 and 2019. Through framing analysis, the following frames about MT and CAT are identified: progress, quality, threat, limitation, cooperation, economic factors, and ethics. Through qualitative analysis of prominent frames, it is also found that attitudes vary between the professional journals and the media about the role of MT as related to human translators. While ITI Bulletin holds a generally conservative attitude, MultiLingual takes a more positive stance towards the applications of MT, and the Chinese media generally hype MT as a potential threat to HT but promote human-machine cooperation as the way out. This study also shows that the ethical and legal issues involving MT and CAT have not been addressed adequately.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Computer-Aided Translation, Frame/Framing, ITI Bulletin, Machine Translation, MultiLingual, News Media, Perceptions |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Languages Cultures & Societies (Leeds) > Translation Studies (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 07 May 2020 10:52 |
Last Modified: | 25 Jun 2023 22:15 |
Status: | Published |
Publisher: | IGI Global |
Identification Number: | 10.4018/IJTIAL.20200701.oa1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:160387 |
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