@inproceedings{sung-etal-2024-context,
    title = "Context-Aware {LLM} Translation System Using Conversation Summarization and Dialogue History",
    author = "Sung, Mingi  and
      Lee, Seungmin  and
      Kim, Jiwon  and
      Kim, Sejoon",
    editor = "Haddow, Barry  and
      Kocmi, Tom  and
      Koehn, Philipp  and
      Monz, Christof",
    booktitle = "Proceedings of the Ninth Conference on Machine Translation",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2024.wmt-1.102/",
    doi = "10.18653/v1/2024.wmt-1.102",
    pages = "1011--1015",
    abstract = "Translating conversational text, particularly in customer support contexts, presents unique challenges due to its informal and unstructured nature. We propose a context-aware LLM translation system that leverages conversation summarization and dialogue history to enhance translation quality for the English-Korean language pair. Our approach incorporates the two most recent dialogues as raw data and a summary of earlier conversations to manage context length effectively. We demonstrate that this method significantly improves translation accuracy, maintaining coherence and consistency across conversations. This system offers a practical solution for customer support translation tasks, addressing the complexities of conversational text."
}