新解码方法大幅降低机器翻译复杂度

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 05:00

研究人员开发了一种新的方法来近似最小贝叶斯风险（MBR）解码，这是一种用于提高机器翻译质量的技术。该方法用从聚合参考表示派生出的分数替换了昂贵的成对度量计算。新方法将效用估计的复杂度从二次时间降低到线性时间，同时保留了MBR解码的大部分质量改进。相关的源代码已公开提供。 AI

影响这项研究可能带来更高效、更高质量的机器翻译系统。

排序理由详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Jannis Vamvas, Rico Sennrich · 2026-11-11 05:00

Reference Aggregation with Linear-time Minimum Bayes Risk Decoding

arXiv:2402.04251v3 Announce Type: replace Abstract: Minimum Bayes Risk (MBR) decoding is a text generation technique that has been shown to improve the quality of machine translations, but is expensive, even if a sampling-based approximation is used. Besides requiring a large num…