English(EN) Bilingual Language Models Capture Cross-Linguistic Influence in Second-Language Reading

双语AI模型捕捉一语对二语阅读行为的影响

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 04:00

研究人员证明，双语语言模型能够有效捕捉读者第一语言（L1）对其第二语言（L2）阅读行为的影响。通过比较在特定L1背景下训练的双语模型与单语基线模型，研究发现匹配L1能够提高对L2阅读时间的预测。这种影响在眼动追踪测量的后期阶段尤为明显，受到语言间脚本重叠的影响，并且在中级读者中最为显著。 AI

影响这项研究表明AI模型能够更好地理解细微的人类语言处理过程，有望改进教育工具和跨文化交流平台。

排序理由这是一篇研究论文，详细介绍了关于语言模型及其捕捉语言影响能力的研究结果。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Abderrahmane Issam, Irene E. Winther, Stefan L. Frank · 2026-10-23 04:00

Bilingual Language Models Capture Cross-Linguistic Influence in Second-Language Reading

arXiv:2610.31620v1 Announce Type: new Abstract: While monolingual language model (LM) surprisal is widely established as a predictor of reading times, it cannot capture the non-native (L2) reading dynamics that are shaped by the reader's first language (L1). In this work, we inve…