@inproceedings{singh-etal-2025-silp,
    title = "silp{\_}nlp at {S}em{E}val-2025 Task 2: An Effect of Entity Awareness in Machine Translation Using {LLM}",
    author = "Singh, Sumit  and
      Goyal, Pankaj  and
      Tiwary, Uma",
    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/corrections-2025-08/2025.semeval-1.310/",
    pages = "2389--2394",
    ISBN = "979-8-89176-273-2",
    abstract = "In this study, we investigated the effect of entity awareness on machine translation (MT) using large language models (LLMs). Our approach utilized GPT-4o and NLLB-200, integrating named entity recognition (NER) to improve translation quality. The results indicated that incorporating entity information enhanced translation accuracy, especially when dealing with named entities. However, performance was highly dependent on the effectiveness of the NER model."
}