Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History

• URL: http://arxiv.org/abs/2410.16775v1
• Date: Tue, 22 Oct 2024 07:45:18 GMT
• Title: Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History
• Authors: Mingi Sung, Seungmin Lee, Jiwon Kim, Sejoon Kim,
• Abstract summary: We propose a context-aware LLM translation system 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.
• Score: 10.596661157821462
• License:
• 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.

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