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        <title>Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History
%A Sung, Mingi
%A Lee, Seungmin
%A Kim, Jiwon
%A Kim, Sejoon
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Ninth Conference on Machine Translation
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F sung-etal-2024-context
%X 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.
%U https://aclanthology.org/2024.wmt-1.102
%P 1011-1015

Markdown (Informal)

[Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History](https://aclanthology.org/2024.wmt-1.102) (Sung et al., WMT 2024)

• Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History (Sung et al., WMT 2024)

ACL

• Mingi Sung, Seungmin Lee, Jiwon Kim, and Sejoon Kim. 2024. Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History. In Proceedings of the Ninth Conference on Machine Translation, pages 1011–1015, Miami, Florida, USA. Association for Computational Linguistics.