A4 Refereed article in a conference publication
Do Humans Translate like Machines? Students’ Conceptualisations of Human and Machine Translation
Authors: Salmi Leena, Dorst Aletta G., Koponen Maarit, Zeven Katinka
Editors: Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov,
Frederike Schierl, Tharindu Ranasinghe, Eva Vanmassenhove, Sergi Alvarez Vidal, Nora
Aranberri, Mara Nunziatini, Carla Parra Escart´ın, Mikel Forcada, Maja Popovic, Carolina
Scarton, Helena Moniz.
Conference name: Annual Conference of the European Association for Machine Translation
Publishing place: Tampere
Publication year: 2023
Book title : Proceedings of the 24th Annual Conference of the European Association for Machine Translation
Series title: Proceedings of the Annual Conference of the European Association for Machine Translation
Number in series: 24
First page : 295
Last page: 304
ISBN: 978-952-03-2947-1
Web address : https://aclanthology.org/2023.eamt-1.29/
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/380906469
This paper explores how students conceptualise the processes involved in human and machine translation, and how they describe the similarities and differences between them. The paper 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 human translation and machine translation in similar terms, suggesting they do not sufficiently distinguish between them and do not fully understand how machine translation 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.
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