@inproceedings{zocca-etal-2025-experience,
    title = "Experience Report: Implementing Machine Translation in a Regulated Industry",
    author = "Zocca, Marco  and
      Fallgren, Per  and
      Buffoni, David",
    editor = "Potdar, Saloni  and
      Rojas-Barahona, Lina  and
      Montella, Sebastien",
    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2025",
    address = "Suzhou (China)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.emnlp-industry.117/",
    pages = "1667--1673",
    ISBN = "979-8-89176-333-3",
    abstract = "This paper presents lessons learned from implementing Machine Translation systems in the context of a global medical technology company. We describe system challenges, legal and security considerations, and the critical role of human-in-the-loop validation for quality assurance and responsible deployment. Furthermore, based on an experiment involving over 11,000 ranked translations, we report reviewer preferences for outputs from small and large language models under various prompting configurations, using a domain-specific dataset spanning five language pairs."
}