Omri Asscher


2025

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An Interdisciplinary Approach to Human-Centered Machine Translation
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 | François Yvon
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

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.