Abstract
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.
Abstract (translated)
人工智能（AI）的快速演化已经引入了在各个行业中具有颠覆性的代理系统，然而，它们在机器翻译（MT）领域的应用仍处于初步探索阶段。本文描述并分析了单一代理系统和多代理系统在机器翻译中的潜在作用，并探讨它们如何能够提升跨语言数字通信的能力。虽然单一代理系统适合处理较为简单的翻译任务，但涉及多个专业AI代理以结构化方式协作的多代理系统可能为需要高精度、特定领域知识及上下文理解等复杂场景提供有前景的解决方案。 为了展示在机器翻译中使用多代理工作流程的可能性，我们正在进行一项法律翻译领域的试点研究。该研究采用了一个包含四个专门化的AI代理的多代理系统：(i) 翻译；(ii) 适当性审查；(iii) 流畅度审查；以及(iv) 最终编辑。我们的发现表明，多代理系统可能在领域适应性和上下文感知方面有显著提高，并且能够提供优于传统机器翻译或单一代理系统的更高质量的翻译。 本文还为未来关于多代理技术在MT中的应用、整合到专业翻译工作流程中，以及展示论文分析的系统演示铺平了道路。
URL
https://arxiv.org/abs/2504.12891
