MT for Subtitling : Investigating professional translators’ user experience and feedback

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Koponen , M , Sulubacak , U , Vitikainen , K & Tiedemann , J 2020 , MT for Subtitling : Investigating professional translators’ user experience and feedback . in J E Ortega , M Federico , C Orasan & M Popovic (eds) , Proceedings of the 14th Conference of the Association for Machine Translation in the Americas October 6 - 9, 2020 : 1st Workshop on Post-Editing in Modern-Day Translation . AMTA , East Stroudsburg , pp. 79-92 , Workshop on Post-Editing in Modern-Day Translation , 06/10/2020 . < https://www.aclweb.org/anthology/2020.amta-pemdt.6/ >

Title: MT for Subtitling : Investigating professional translators’ user experience and feedback
Author: Koponen, Maarit; Sulubacak, Umut; Vitikainen, Kaisa; Tiedemann, Jörg
Editor: Ortega, John E.; Federico, Marcello; Orasan, Constantin; Popovic, Maja
Contributor: University of Helsinki, Department of Digital Humanities
University of Helsinki, Language Technology
University of Helsinki, Faculty of Arts
University of Helsinki, Language Technology
Publisher: AMTA
Date: 2020-11
Language: eng
Number of pages: 14
Belongs to series: Proceedings of the 14th Conference of the Association for Machine Translation in the Americas October 6 - 9, 2020 1st Workshop on Post-Editing in Modern-Day Translation
URI: http://hdl.handle.net/10138/324207
Abstract: This paper presents a study of machine translation and post-editing in the field of audiovisual translation. We analyse user experience data collected from post-editing tasks completed by twelve translators in four language pairs. We also present feedback provided by the translators in semi-structured interviews. The results of the user experience survey and thematic analysis of interviews shows that the translators’ impression of post-editing subtitles was on average neutral to somewhat negative, with segmentation and timing of subtitles identified as a key factor. Finally, we discuss the implications of the issues arising from the user experience survey and interviews for the future development of automatic subtitle translation.
Subject: 6121 Languages
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