MT for subtitling : User evaluation of post-editing productivity

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Koponen , M , Sulubacak , U , Vitikainen , K & Tiedemann , J 2020 , MT for subtitling : User evaluation of post-editing productivity . in A Martins , H Moniz , S Fumega , B Martins , F Batista , L Coheur , C Parra , I Trancoso , M Turchi , A Bisazza , J Moorkens , A Guerberof , M Nurminen , L Marg & M L Forcada (eds) , Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT 2020) . European Association for Machine Translation , Geneva , pp. 115-124 , Annual Conference of the European Association for Machine Translation , Lisbon , Portugal , 03/11/2020 .

Title: MT for subtitling : User evaluation of post-editing productivity
Author: Koponen, Maarit; Sulubacak, Umut; Vitikainen, Kaisa; Tiedemann, Jörg
Other contributor: Martins, André
Moniz, Helena
Fumega, Sara
Martins, Bruno
Batista, Fernando
Coheur, Luisa
Parra, Carla
Trancoso, Isabel
Turchi, Marco
Bisazza, Arianna
Moorkens, Joss
Guerberof, Ana
Nurminen, Mary
Marg, Lena
Forcada, Mikel L.
Contributor organization: Department of Digital Humanities
Language Technology
Department of Languages
Mind and Matter
Publisher: European Association for Machine Translation
Date: 2020-06-10
Language: eng
Number of pages: 10
Belongs to series: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT 2020)
ISBN: 978-989-33-0589-8
URI: http://hdl.handle.net/10138/320204
Abstract: This paper presents a user evaluation of machine translation and post-editing for TV subtitles. Based on a process study where 12 professional subtitlers translated and post-edited subtitles, we compare effort in terms of task time and number of keystrokes. We also discuss examples of specific subtitling features like condensation, and how these features may have affected the post-editing results. In addition to overall MT quality, segmentation and timing of the subtitles are found to be important issues to be addressed in future work.
Subject: 113 Computer and information sciences
Natural language processing
Language technology
Machine translation
6121 Languages
Translation studies
Subtitling
Post-editing
Peer reviewed: Yes
Rights: cc_by_nd
Usage restriction: openAccess
Self-archived version: publishedVersion
Funder: European Commission / Horizon 2020
Grant number:


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