[CFP] Translation Technology Teaching: Views and Visions

The Interpreter and Translator Trainer

Youlan Tao, Fudan University, China
taoyoulan@fudan.edu.cn

Huashu Wang, Guangdong University of Foreign Studies, China
wanghuashu@gdufs.edu.cn

In the era of Artificial Intelligence, the rapid developments in translation technology have exerted significant impact on translator education and translation industry, which puts translation technology teaching on the agenda of tertiary education. In recent years, universities and colleges have started to include translation technology in their curriculum and gained experience in the teaching of this subject. However, teachers are increasingly faced with challenges on how to teach translation technology more effectively and how to integrate technology into other translation courses.

New technologies such as neural machine translation, automatic speech recognition, video remote interpreting, cloud-based translation and content automation have been widely used in the language service industry, which calls for more translators and interpreters with strong technological competence. In order to meet the demands of translation markets, it is necessary for universities and colleges to cultivate students’ technological competence and develop their information literacy by strengthening translation technology teaching. Therefore, issues about translation technology teaching competence, teacher training and certification, teaching methodology, teaching resources and tools, curriculum design, evaluation and testing methods are all to be discussed and investigated theoretically and practically.

In this special issue we want to bring to the fore these and other translation technology-related issues that need to be addressed by translation trainers, translation researchers and technology providers. We hope that the investigation of such issues can contribute to the translator (and interpreter) research-informed education.

Themes that may be addressed include (but are not restricted to) the following:

• Translator and interpreter education driven by technology in the era of AI
• Theoretical and pedagogical aspects of translation technology teaching
• Innovations and collaboration in translation technology teaching
• Improving students’ humanistic literacy in translation technology teaching
• Cultivating teachers’ translation technology teaching competence
• Developing students’ translation technological competence
• Information literacy development for student translators and interpreters
• Exploring effective methodologies for technology teaching
• Exploring the integration of technology into translation curriculum
• Technology teaching resources and textbook development
• Empirical studies on technology teaching models
• Training of translation technology teachers
• Curriculum and syllabus design for the future: good practices in training and research collaboration among translation scholars/trainers, computational linguists and IT experts in industry settings.

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