用多个专业AI协作翻译，提升法律文本的准确性和语境理解。
Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communication
- 设计四个分工的AI代理：翻译、内容审核、流畅性检查、最终润色。
- 在法律翻译中表现优于传统模型，提升领域适配与上下文感知能力。
- 适合需要高精度的专业翻译场景，如法律、医疗等复杂领域。
人工智能的快速发展使AI代理成为各行业的颠覆性范式，但在机器翻译（MT）中的应用仍待探索。本文分析单代理与多代理系统在机器翻译中的潜力，探讨其如何增强多语言数字通信。单代理系统适用于简单翻译任务，而多代理系统通过多个专业化代理协同工作，在需要高精度、领域知识和上下文意识的复杂场景中更具优势。为验证多代理流程在机器翻译中的可行性，我们开展了一项法律翻译的试点研究，采用由四个专用代理组成的系统：（i）翻译，（ii）内容适当性审查，（iii）流畅性审查，（iv）最终编辑。结果表明，多代理系统可能显著提升领域适应性与上下文感知能力，翻译质量优于传统方法或单代理系统。本文还为未来在机器翻译中应用多代理系统、融入专业翻译流程的研究奠定基础，并提供演示系统。
原文摘要 · Abstract (English)
The rapid evolution of artificial intelligence (AI) has introduced AI agents as a disruptive paradigm across various industries, yet their application in machine translation (MT) remains underexplored. This paper describes and analyses the potential of single- and multi-agent systems for MT, reflecting on how they could enhance multilingual digital communication. While single-agent systems are well-suited for simpler translation tasks, multi-agent systems, which involve multiple specialized AI agents collaborating in a structured manner, may offer a promising solution for complex scenarios requiring high accuracy, domain-specific knowledge, and contextual awareness. To demonstrate the feasibility of multi-agent workflows in MT, we are conducting a pilot study in legal MT. The study employs a multi-agent system involving four specialized AI agents for (i) translation, (ii) adequacy review, (iii) fluency review, and (iv) final editing. Our findings suggest that multi-agent systems may have the potential to significantly improve domain-adaptability and contextual awareness, with superior translation quality to traditional MT or single-agent systems. This paper also sets the stage for future research into multi-agent applications in MT, integration into professional translation workflows, and shares a demo of the system analyzed in the paper.
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