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Article published In: Babel
Vol. 69:5 (2023) ► pp.666–703

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Technology preparedness and translator training

Implications for curricula

 | University of Macau
Published online: 22 September 2023
DOI logo with link
https://doi.org/10.1075/babel.00335.ven
Abstract
With increasing acknowledgment of enhanced quality now achievable by Machine Translation, new possibilities have emerged through collaboration between human and machine in the translation process, including providing varying qualities of translation in response to quality/efficiency requirements. This paper presents surveys of post-graduate students of translation conducted over four consecutive years to examine if their awareness and preparedness have kept pace with these possibilities. It is found that respondents across the years generally perceive their awareness as lacking, are hesitant in employing MT, and show marked reservations when reconsidering issues such as quality and the preeminent position of the human translator. A review of existing research in translator training points towards a lopsided emphasis on linguistic competence and standalone courses for introducing technology as the primary cause behind low adoption. The need of the hour is translator training that fully integrates technology in the translation process and also provides a clear framework to adjust quality/efficiency is important to ensure preparedness. A repeat survey of students from 2021 who were trained under this model shows an increase in willingness to use MT and to consider quality as dependent on intended use. The focus here is on Chinese-English translation, but the discussion may find resonance with other language pairs.
Article outline
  • 1.Introduction
  • 2.The surveys
    • 2.1Results
      • 2.1.1Awareness of machine translation
      • 2.1.2Preparedness in integrating MT into workflow and attitude toward future prospects
      • 2.1.3Usefulness of available technology
    • 2.2Discussion
  • 3.Review of translator training
    • 3.1Lack of exposure to translation technology in training
    • 3.2Standalone treatments
  • 4.Implications for translator training
    • 4.1Integrating machine translation into the translation process
    • 4.2Customization (Varying Qualities)
    • 4.3Integrating other CAT tools
  • 5.Exit survey
  • 6.Conclusion
  • Notes
  • References
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