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English(EN) MAS-Bai: Linguistically Informed Adaptive Multi-Agent Translation for Bowen-Script Bai

新的MAS-Bai框架提升了低资源语言的翻译能力

研究人员开发了MAS-Bai,一个新颖的多智能体框架,旨在改进极低资源语言的翻译,特别是针对文言白话到标准中文的翻译。该系统通过采用双路径方法解决了此类语言中常见的字面翻译幻觉问题:一个检索翻译路径和一个更深入的、具有专门词源学和句法智能体的文献学路径。MAS-Bai利用循环一致性,并以反向翻译器作为推理时的可靠性信号,在BLEU和COMET分数上取得了比标准方法显著的改进。 AI

影响 这项研究为解决低资源语言的翻译挑战提供了一种新方法,有望提高代表性不足的语言社区的可访问性和数据可用性。

排序理由 该集群包含一篇详细介绍特定NLP任务新模型和方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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新的MAS-Bai框架提升了低资源语言的翻译能力

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该集群包含一篇详细介绍特定NLP任务新模型和方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jingting Zheng (TJUNLP Lab, School of Computer Science and Technology, Tianjin University, China), Hong Ren (TJUNLP Lab, School of Computer Science and Technology, Tianjin University, China), Yuehan Cui (TJUNLP Lab, School of Computer Science and Technol… ·

    MAS-Bai:针对 Bowen-Script Bai 的语言学信息自适应多智能体翻译

    arXiv:2610.23205v1 Announce Type: new Abstract: Large Language Models (LLMs) remain unreliable for extremely low-resource languages whose writing systems conflict with high-resource pretraining priors. We study Bai-Chinese translation in the Bowen script, where Chinese characters…