Persistent URL of this record https://hdl.handle.net/1887/3620628
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Do humans translate like machines? Students' conceptualisations of human and machine translation
presents the results of a survey involving university students (B.A. and M.A.) taking a course on translation who filled out an online questionnaire distributed in Finnish, Dutch and English. Our study finds that students often describe both HT and MT in similar terms, suggesting they do not sufficiently distinguish between them and do not fully understand how MT works. The current study suggests that training in Machine Translation Literacy may need to focus more on the conceptualisations involved and how conceptual and vernacular misconceptions may affect how translators understand human and machine translation.
- All authors
- Salmi, L.; Dorst, A.G.; Koponen, M.; Zeven, K.L.
- Editor(s)
- Nurminen, M.; Brenner, J.; Latomaa, S.; Mikhailov, M.; Schierl, F.; Ranasinghe, T.; Vanmassenhove, E.; Alvarez Vidal, S.; Aranberri, N.; Nunziatini, M.; Parra Escartín, C.; Forcada, M.; Popovic, M.; Scarton, C.; Moniz, H.
- Date
- 2023-06-07
- Pages
- 295 - 304
- ISBN (print)
- 9789520329471
Conference
- Conference
- Annual Conference of the European Association for Machine Translation
- Date
- 2023-06-12 - 2023-06-15
- Location
- Tampere, Finland