An Interdisciplinary Approach to Human-Centered Machine Translation
This addresses the problem of unreliable translation assessments for non-expert users, but it is incremental as it builds on existing interdisciplinary literature.
The paper tackles the gap between machine translation system development and real-world usage by non-expert users, advocating for a human-centered approach that aligns design with diverse communicative goals and contexts.
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.