An Interdisciplinary Approach to Human-Centered Machine Translation
Marine Carpuat, Omri Asscher, Kalika Bali, Luisa Bentivogli, Fr{\'e}d{\'e}ric Blain, Lynne Bowker, Monojit Choudhury, Hal Daum{\'e} III
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.
BibTeX
@inproceedings{emnlp2025_aninterdisciplin,
title = {An Interdisciplinary Approach to Human-Centered Machine Translation},
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 Hal Daum{\'e} III and Kevin Duh and Ge Gao and Alvin Grissom II and Marzena Karpinska and Elaine C. Khoong and William D. Lewis and Andr{\'e} F. T. Martins and Mary Nurminen and Douglas W. Oard and Maja Popovic and Michel Simard and Fran{\c{c}}ois Yvon},
booktitle = {EMNLP 2025},
year = {2025}
}