@inproceedings{gutierrez-fandino-etal-2025-cost,
    title = "Cost-Effective {E}-Commerce Catalog Translation at Scale Ensuring Named Entity Protection",
    author = "Guti{\'e}rrez-Fandi{\~n}o, Asier  and
      Yero Salazar, Jorge  and
      Ruin, Clement  and
      Quintero-Roba, Alejandro  and
      Ravichandran, Shangeetha  and
      Perez-Martin, Jesus  and
      Adsul, Pankaj  and
      Garg, Suruchi  and
      Lezcano, Leonardo",
    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/author-page-yu-wang-polytechnic/2025.emnlp-industry.81/",
    doi = "10.18653/v1/2025.emnlp-industry.81",
    pages = "1148--1157",
    ISBN = "979-8-89176-333-3",
    abstract = "We present an enterprise-grade translation platform for global e-commerce that combines daily batch and real-time API pipelines with optimized T5-based models and a Reference Generator to enforce {\ensuremath{>}}99{\%} non-translatable entity preservation. A linguist-driven rule engine and explainable evaluation framework (BLEU, COMET, and a custom e-commerce metric) enable continuous quality improvements. Deployed on GPU-accelerated inference servers and CPU-based processing nodes, our system processes millions of listings per day with sub-second latency and achieves 10{\texttimes}{--}100{\texttimes} cost savings over general-purpose LLMs for English{\textrightarrow}Spanish and English{\textrightarrow}French translation, all while version-tracking every update for robust enterprise rollouts."
}