@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://preview.aclanthology.org/ingest-emnlp/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."
}