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Machine translation use outside the language industries: a comparison of five delivery formats for machine translation literacy instruction

dc.contributor.authorBowker, Lynne
dc.date.accessioned2021-08-30T15:06:47Z
dc.date.available2021-08-30T15:06:47Z
dc.date.issued2021
dc.description.abstractSince the release of the first free online machine translation systems around 15 years ago, machine translation (MT) has been “in the wild”, meaning it is available to users outside the language industries. However, most user-related investigations of MT focus on how this technology is used by language professionals, such as translators. As the user base outside the language professions grows, it is worth understanding more about who is using MT and why as this could help to inform future developments of the tools. Based on my experience of teaching MT to non-translation students in five different university-level contexts in the 2020/2021 academic year, I share some insights about who these users are, why they are using MT, and how satisfied they are with the results.en_US
dc.description.sponsorshipThe Machine Translation Literacy Project is funded (2020-2026) through an Insight Grant (#435-2020-0089) from the Social Sciences and Humanities Research Council of Canada. Seed funding was also provided by Concordia University Library through the 2019 Researcher-in-Residence program.en_US
dc.identifier.citationBowker, Lynne. 2021. "Machine translation use outside the language industries: a comparison of five delivery formats for machine translation literacy instruction." TRITON 2021: Proceedings of the Conference TRanslation and Interpreting Technology ONline, pp. 25-36.en_US
dc.identifier.doihttps://doi.org/10.26615/978-954-452-071-7_004en_US
dc.identifier.isbn978-954-452-071-7en_US
dc.identifier.urihttps://triton-conference.org/proceedingsen_US
dc.identifier.urihttp://hdl.handle.net/10393/42600
dc.identifier.urihttps://doi.org/10.20381/ruor-26820
dc.language.isoenen_US
dc.subjectmachine translationen_US
dc.subjectmachine translation literacyen_US
dc.subjecttranslation pedagogyen_US
dc.titleMachine translation use outside the language industries: a comparison of five delivery formats for machine translation literacy instructionen_US
dc.typeConference Proceedingen_US

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