Calls for Papers (special): International Journal of Translation, Interpretation, and Applied Linguistics (IJTIAL)


Special Issue On: New Developments in the Study of Translation Technology

Submission Due Date
12/15/2021

Guest Editors
Yubin Zhu, Anhui University, Hefei, China
Mark Shuttleworth, Hong Kong Baptist University, Hong Kong, China

Introduction
Translation practice and translation studies have both been heavily influenced by the application of translation technology in the age of artificial intelligence. At present, however, discussions of translation technology have largely focused on the introduction and utilization of a range of computer-assisted translation or interpreting tools, though more and more translation/interpreting scholars are starting to discuss more theoretical and practical issues in translation technology, such as the future of translation technology (Chan 2017), human issues in translation technology (Kenny 2017; Chan 2018), ethics in translation technology (Ren 2019) and translation technology in crowdsourcing (Shao 2019). However, more studies of translation technology need to be undertaken in order to enrich our knowledge (especially our theoretical knowledge) of this important subject. Such studies will be likely to promote new developments in translation technology, substantially improve the efficacy of human translation/interpreting, and significantly enhance our understanding of topics such as those mentioned above.

Objective
This open-access special issue focuses on the theme of new developments in the study of translation technology, and it attempts to provide a site for translation scholars, trainers and practitioners to share their knowledge of new developments within this area. Contributors are invited to provide extensive discussions of issues in the study of translation technology with the aim of further advancing the “technological turn” in translation studies.

Recommended Topics
• Theoretical perspectives on computer-assisted translation/interpreting technology
• Translation technology in the age of artificial intelligence
• Teaching translation technology, and technology-enhanced translation/interpreting teaching
• The usability and reliability of different technological tools in translation practice
• Ethics in computer-assisted translation and interpreting
• Machine translation and post-editing
• Translation and localization
• The integration of translation policy, translation industry and translation technology
• Corpus-related technology
• The future of translation technology
• Human issues in translation technology
• Digital humanities and translation studies

Submission Procedure
Proposals should aim to enhance our theoretical understanding of one or more of these topics and be fully integrated into current translation studies research agendas. Researchers and practitioners are invited to submit papers for this special theme issue on New Developments in Studies of Translation Technology on or before December 15, 2021. For the detailed schedule, please see SUBMISSION DUE DATES above. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Yubin Zhu and Mark Shuttleworth
Guest Editors
International Journal of Translation, Interpretation and Applied Linguistics (IJTIAL)
E-mail: y.zhu@ahu.edu.cn

REFERENCES
Chan, S.-W. (2017). The future of translation technology: Towards a world without Babel. Abingdon & New York: Routledge.
Chan, S.-W. (Ed.). (2018). The human factor in machine translation. Abingdon & New York: Routledge.
Kenny, D. (Ed.). (2017). Human issues in translation technology. Abingdon & New York: Routledge.
Ren, W. (2019). Ethical challenges posed by and ethical principles proposed for machine translation [机器翻译伦理的挑战与导向]. Shanghai Journal of Translators, 34(5), 46-52.
Shao, L. (2019). The outlook of the framework of AI-driven crowdsourcing technology [人工智能驱动下的众包翻译技术架构展望]. Chinese Translators Journal, 41(4), 126-134.