@inproceedings{78d07604218546b496b44eaa26428326,
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 III, \{Hal Daum{\'e}\} and Kevin Duh and Ge Gao and II, \{Alvin Grissom\} 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",
note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",
year = "2025",
doi = "10.18653/v1/2025.emnlp-main.1164",
language = "English",
volume = "abs/2506.13468",
series = "CoRR",
publisher = "Association for Computational Linguistics",
pages = "22859–22879",
booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing",
}