@inproceedings{aryal-agyemang-prempeh-2025-howard,
    title = "{H}oward {U}niversity-{AI}4{PC} at {S}em{E}val-2025 Task 2: Improving Machine Translation With Context-Aware Entity-Only Pre-translations with {GPT}4o",
    author = "Aryal, Saurav  and
      Agyemang - Prempeh, Jabez",
    editor = "Rosenthal, Sara  and
      Ros{\'a}, Aiala  and
      Ghosh, Debanjan  and
      Zampieri, Marcos",
    booktitle = "Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/transition-to-people-yaml/2025.semeval-1.246/",
    pages = "1885--1889",
    ISBN = "979-8-89176-273-2",
    abstract = "This paper presents our work on a 3-Step GPT translation system developed for SemEval-2025 Task 2 to enhance the translation of named entities within machine translation. Our approach integrates (1) entity extraction via wikidata, (2) GPT-based refinement of entity translations, and (3) final context-aware GPT translation. Results from the original dataset of six languages show significant improvements in the handling of named entities compared to direct GPT-based translation baselines. We further discuss replicability, observed challenges, and outline future research directions."
}