@inproceedings{zheng-2024-enhancing,
    title = "Enhancing Translation Accuracy and Consistency through Large Language Models",
    author = "Zheng, Mei Chai",
    editor = "Martindale, Marianna  and
      Campbell, Janice  and
      Savenkov, Konstantin  and
      Goel, Shivali",
    booktitle = "Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)",
    month = sep,
    year = "2024",
    address = "Chicago, USA",
    publisher = "Association for Machine Translation in the Americas",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.amta-presentations.3/",
    pages = "19--29",
    abstract = "Recent advancements in neural machine translation (NMT) have significantly improved the accuracy of translation from one language to another. However, challenges such as adherence to translation memories, context-specific terminologies, and consistent formality register remain pervasive hurdles. This presentation explores the integration of Large Language Models (LLMs) into the MT pipeline to address these specific issues, demonstrating substantial improvements in translation quality and contextual appropriateness."
}