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        <title>Effects of Domain-adapted Machine Translation on the Machine Translation User Experience of Video Game Translators</title>
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    <abstract>In this empirical study we examine three different translation modes with varying involvement of machine translation (MT) post-editing (PE) when translating video game texts. The three translation modes are translation from scratch without MT, full PE of MT output in a static way, and flexible PE as a combination of translation from scratch and post-editing of only those machine-translated sentences deemed useful by the translator. Data generation took place at the home offices of freelance game translators. In a mixed-methods approach, quantitative data was generated through keylogging, eye tracking, error annotation, and user experience questionnaires as well as qualitative data through interviews. Results show a negative perception of PE and suggest that translators’ user experience is positive when translating from scratch, neutral with a positive tendency when doing flexible PE of domain-adapted MT output and negative with static PE of generic MT output.</abstract>
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%0 Conference Proceedings
%T Effects of Domain-adapted Machine Translation on the Machine Translation User Experience of Video Game Translators
%A Brenner, Judith
%A Othlinghaus-Wulhorst, Julia
%Y Vanroy, Bram
%Y Lefer, Marie-Aude
%Y Macken, Lieve
%Y Ruffo, Paola
%Y Arenas, Ana Guerberof
%Y Hansen, Damien
%S Proceedings of the Second Workshop on Creative-text Translation and Technology (CTT)
%D 2025
%8 June
%I European Association for Machine Translation
%C Geneva, Switzerland
%@ 978-2-9701897-6-3
%F brenner-othlinghaus-wulhorst-2025-effects
%X In this empirical study we examine three different translation modes with varying involvement of machine translation (MT) post-editing (PE) when translating video game texts. The three translation modes are translation from scratch without MT, full PE of MT output in a static way, and flexible PE as a combination of translation from scratch and post-editing of only those machine-translated sentences deemed useful by the translator. Data generation took place at the home offices of freelance game translators. In a mixed-methods approach, quantitative data was generated through keylogging, eye tracking, error annotation, and user experience questionnaires as well as qualitative data through interviews. Results show a negative perception of PE and suggest that translators’ user experience is positive when translating from scratch, neutral with a positive tendency when doing flexible PE of domain-adapted MT output and negative with static PE of generic MT output.
%U https://aclanthology.org/2025.ctt-1.3/
%P 27-43

Markdown (Informal)

[Effects of Domain-adapted Machine Translation on the Machine Translation User Experience of Video Game Translators](https://aclanthology.org/2025.ctt-1.3/) (Brenner & Othlinghaus-Wulhorst, CTT 2025)

• Effects of Domain-adapted Machine Translation on the Machine Translation User Experience of Video Game Translators (Brenner & Othlinghaus-Wulhorst, CTT 2025)

ACL

• Judith Brenner and Julia Othlinghaus-Wulhorst. 2025. Effects of Domain-adapted Machine Translation on the Machine Translation User Experience of Video Game Translators. In Proceedings of the Second Workshop on Creative-text Translation and Technology (CTT), pages 27–43, Geneva, Switzerland. European Association for Machine Translation.