An Interdisciplinary Approach to Human-Centered Machine Translation

Marine Carpuat; Omri Asscher; Kalika Bali; Luisa Bentivogli; Frédéric Blain; Lynne Bowker; Monojit Choudhury; Hal Daumé III; Kevin Duh; Ge Gao; Alvin Grissom II; Marzena Karpinska; Elaine C. Khoong; William D. Lewis; André F. T. Martins; Mary Nurminen; Douglas W. Oard; Maja Popovic; Michel Simard; François Yvon

doi:10.18653/v1/2025.emnlp-main.1164

An Interdisciplinary Approach to Human-Centered Machine Translation

Marine Carpuat
, Omri Asscher
, Kalika Bali
, Luisa Bentivogli
, Frédéric Blain
, Lynne Bowker
, Monojit Choudhury
, Hal Daumé III
, Kevin Duh
, Ge Gao
, Alvin Grissom II
, Marzena Karpinska
, Elaine C. Khoong
, William D. Lewis
, André F. T. Martins
, Mary Nurminen
, Douglas W. Oard
, Maja Popovic
, Michel Simard
, François Yvon

Department of Translation and Interpreting Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Editors	Christos Christodoulopoulos, Tanmoy Chakraborty, Carolyn Rose, Violet Peng
Place of Publication	Suzhou, China
Publisher	Association for Computational Linguistics
Pages	22859-22879
Number of pages	21
ISBN (Print)	979-8-89176-332-6
DOIs	https://doi.org/10.18653/v1/2025.emnlp-main.1164
State	Published - 1 Nov 2025

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Carpuat, M., Asscher, O., Bali, K., Bentivogli, L., Blain, F., Bowker, L., Choudhury, M., Daumé III, H., Duh, K., Gao, G., Grissom II, A., 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 C. Christodoulopoulos, T. Chakraborty, C. Rose, & V. Peng (Eds.), Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (pp. 22859-22879). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.emnlp-main.1164

Carpuat, Marine ; Asscher, Omri ; Bali, Kalika et al. / An Interdisciplinary Approach to Human-Centered Machine Translation. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. editor / Christos Christodoulopoulos ; Tanmoy Chakraborty ; Carolyn Rose ; Violet Peng. Suzhou, China : Association for Computational Linguistics, 2025. pp. 22859-22879

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title = "An Interdisciplinary Approach to Human-Centered Machine Translation",

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.",

author = "Marine Carpuat and Omri Asscher and Kalika Bali and Luisa Bentivogli and Fr{\'e}d{\'e}ric Blain and Lynne Bowker and Monojit Choudhury and \{Daum{\'e} III\}, Hal and Kevin Duh and Ge Gao and \{Grissom II\}, Alvin and Marzena Karpinska and Khoong, \{Elaine C.\} and Lewis, \{William D.\} and Martins, \{Andr{\'e} F. T.\} and Mary Nurminen and Oard, \{Douglas W.\} and Maja Popovic and Michel Simard and Fran{\c c}ois Yvon",

year = "2025",

month = nov,

day = "1",

doi = "10.18653/v1/2025.emnlp-main.1164",

language = "אנגלית",

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editor = "Christos Christodoulopoulos and Tanmoy Chakraborty and Carolyn Rose and Violet Peng",

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}

Carpuat, M, Asscher, O, Bali, K, Bentivogli, L, Blain, F, Bowker, L, Choudhury, M, Daumé III, H, Duh, K, Gao, G, Grissom II, A, Karpinska, M, Khoong, EC, Lewis, WD, Martins, AFT, Nurminen, M, Oard, DW, Popovic, M, Simard, M & Yvon, F 2025, An Interdisciplinary Approach to Human-Centered Machine Translation. in C Christodoulopoulos, T Chakraborty, C Rose & V Peng (eds), Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Suzhou, China, pp. 22859-22879. https://doi.org/10.18653/v1/2025.emnlp-main.1164

An Interdisciplinary Approach to Human-Centered Machine Translation. / Carpuat, Marine; Asscher, Omri; Bali, Kalika et al.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. ed. / Christos Christodoulopoulos; Tanmoy Chakraborty; Carolyn Rose; Violet Peng. Suzhou, China: Association for Computational Linguistics, 2025. p. 22859-22879.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Asscher, Omri

AU - Bali, Kalika

AU - Bentivogli, Luisa

AU - Blain, Frédéric

AU - Bowker, Lynne

AU - Choudhury, Monojit

AU - Daumé III, Hal

AU - Duh, Kevin

AU - Gao, Ge

AU - Grissom II, Alvin

AU - Karpinska, Marzena

AU - Khoong, Elaine C.

AU - Lewis, William D.

AU - Martins, André F. T.

AU - Nurminen, Mary

AU - Oard, Douglas W.

AU - Popovic, Maja

AU - Simard, Michel

AU - Yvon, François

PY - 2025/11/1

Y1 - 2025/11/1

N2 - 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.

AB - 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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A2 - Christodoulopoulos, Christos

A2 - Chakraborty, Tanmoy

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A2 - Peng, Violet

PB - Association for Computational Linguistics

CY - Suzhou, China

ER -

Carpuat M, Asscher O, Bali K, Bentivogli L, Blain F, Bowker L et al. An Interdisciplinary Approach to Human-Centered Machine Translation. In Christodoulopoulos C, Chakraborty T, Rose C, Peng V, editors, Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Suzhou, China: Association for Computational Linguistics. 2025. p. 22859-22879 doi: 10.18653/v1/2025.emnlp-main.1164

An Interdisciplinary Approach to Human-Centered Machine Translation

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