Machine translation in society: Insights from UK users

Lucas Nunes Vieira*, Carol M O'Sullivan, Xiaochun Zhang, Minako O'Hagan

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

20 Citations (Scopus)
224 Downloads (Pure)

Abstract

Machine translation (MT) tools like Google Translate can overcome language barriers and increase access to information. These tools also carry risks, and their societal role remains understudied. This article investigates typical uses and perceptions of MT based on a survey of 1200 United Kingdom residents who were representative of the national population in terms of age, sex, and ethnicity. We highlight three main findings from our analysis. First, participants often used MT for non-essential purposes that rarely justified professional human translations. Second, while they were highly satisfied with MT they also expressed desires for higher MT quality. These desires were usually motivated by expectations of perfection rather than fitness for purpose. Third, participants’ future vision for MT involved increasingly blurred boundaries between text and speech. The article calls for more MT research on the interface between written and spoken communication and on the ethical implications of rare but significant high-risk uses of the technology.
Original languageEnglish
Pages (from-to)1-22
JournalLanguage Resources and Evaluation
Early online date22 Apr 2022
DOIs
Publication statusE-pub ahead of print - 22 Apr 2022

Bibliographical note

Funding Information:
This work was funded internally by the Faculty of Arts at the University of Bristol. The authors have no relevant financial or non-financial interests to disclose.

Publisher Copyright:
© 2022, The Author(s).

Keywords

  • Machine translation
  • Society
  • risk
  • MT-mediated communication
  • Translation and interpreting studies
  • Translation quality
  • users

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