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An Interdisciplinary Approach to Human-Centered Machine Translation

Carpuat,Marine
; 
Asscher,Omri
; 
Bali,Kalika
; 
Bentivogli,Luisa
; 
Blain,Frédéric
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Bowker,Lynne
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Choudhury,Monojit
; 
III,Hal Daumé
; 
Duh,Kevin
; 
Gao,Ge
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Abstract
Machine Translation (MT) tools are widely used today, often in contexts where professional translators are not present. Despite progress in MT technology, a gap persists between system development and real-world usage, particularly for non-expert users who may struggle to assess translation reliability.This paper advocates for a human-centered approach to MT, emphasizing the alignment of system design with diverse communicative goals and contexts of use. We survey the literature in Translation Studies and Human-Computer Interaction to recontextualize MT evaluation and design to address the diverse real-world scenarios in which MT is used today.
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Date
2025
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Association for Computational Linguistics
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Tilburg University Research Output Collection
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Carpuat, M, Asscher, O, Bali, K, Bentivogli, L, Blain, F, Bowker, L, Choudhury, M, III, H D, Duh, K, Gao, G, II, A G, Karpinska, M, Khoong, E C, Lewis, W D, Martins, A F T, Nurminen, M, Oard, D W, Popovic, M, Simard, M & Yvon, F 2025, An Interdisciplinary Approach to Human-Centered Machine Translation. in Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. vol. abs/2506.13468, CoRR, Association for Computational Linguistics, pp. 22859–22879. https://doi.org/10.18653/v1/2025.emnlp-main.1164
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https://hdl.handle.net/20.500.14602/102697
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info:eu-repo/semantics/openAccess
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