@inproceedings{carpuat-etal-2025-interdisciplinary,
title = "An Interdisciplinary Approach to Human-Centered Machine Translation",
author = "Carpuat, Marine and
Asscher, Omri and
Bali, Kalika and
Bentivogli, Luisa and
Blain, Fred and
Bowker, Lynne and
Choudhury, Monojit and
Iii, Hal Daum{\'e} and
Duh, Kevin and
Gao, Ge and
Grissom II, Alvin C and
Karpinska, Marzena and
Khoong, Elaine C and
Lewis, William D. and
Martins, Andre and
Nurminen, Mary and
Oard, Douglas W. and
Popovic, Maja and
Simard, Michel and
Yvon, Fran{\c{c}}ois",
editor = "Christodoulopoulos, Christos and
Chakraborty, Tanmoy and
Rose, Carolyn and
Peng, Violet",
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.emnlp-main.1164/",
pages = "22870--22890",
ISBN = "979-8-89176-332-6",
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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%0 Conference Proceedings
%T An Interdisciplinary Approach to Human-Centered Machine Translation
%A Carpuat, Marine
%A Asscher, Omri
%A Bali, Kalika
%A Bentivogli, Luisa
%A Blain, Fred
%A Bowker, Lynne
%A Choudhury, Monojit
%A Iii, Hal Daumé
%A Duh, Kevin
%A Gao, Ge
%A Grissom II, Alvin C.
%A Karpinska, Marzena
%A Khoong, Elaine C.
%A Lewis, William D.
%A Martins, Andre
%A Nurminen, Mary
%A Oard, Douglas W.
%A Popovic, Maja
%A Simard, Michel
%A Yvon, François
%Y Christodoulopoulos, Christos
%Y Chakraborty, Tanmoy
%Y Rose, Carolyn
%Y Peng, Violet
%S Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-332-6
%F carpuat-etal-2025-interdisciplinary
%X 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.
%U https://aclanthology.org/2025.emnlp-main.1164/
%P 22870-22890
Markdown (Informal)
[An Interdisciplinary Approach to Human-Centered Machine Translation](https://aclanthology.org/2025.emnlp-main.1164/) (Carpuat et al., EMNLP 2025)
ACL
- Marine Carpuat, Omri Asscher, Kalika Bali, Luisa Bentivogli, Fred Blain, Lynne Bowker, Monojit Choudhury, Hal Daumé Iii, Kevin Duh, Ge Gao, Alvin C Grissom II, Marzena Karpinska, Elaine C Khoong, William D. Lewis, Andre Martins, Mary Nurminen, Douglas W. Oard, Maja Popovic, Michel Simard, and François Yvon. 2025. An Interdisciplinary Approach to Human-Centered Machine Translation. In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pages 22870–22890, Suzhou, China. Association for Computational Linguistics.