English(EN) Loanword or Switch? The Annotation Boundary, Not the Model, Drives Kazakh-Russian Code-Switching Identification

哈萨克语-俄语语码转换识别瓶颈在于注释而非模型

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-04 04:00

arXiv上的一篇新论文探讨了哈萨克语和俄语之间的语码转换识别问题，发现注释边界比所使用的模型更为关键。研究人员开发了一个黄金语言识别（LID）数据集，并为整合借词和从句级切换制定了具体指南。在测试中，FastText、Lingua和XLM-RoBERTa等模型表现各异，这表明注释定义而非模型类别本身，是准确识别的主要瓶颈。 AI

影响强调了清晰的注释指南在自然语言处理（NLP）任务中的重要性，并提出在语码转换识别方面，改进数据标注可能比仅关注先进模型更具影响力。

排序理由该集群包含一篇在arXiv上发表的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Newsworthiness bucket: Tool; 该集群包含一篇在arXiv上发表的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.CL TIER_1 English(EN) · Bogdan Savelyev · 2026-08-04 04:00

借词还是切换？注释边界而非模型驱动哈萨克语-俄语语码转换识别

arXiv:2608.00581v1 Announce Type: new Abstract: Off-the-shelf LID and letter heuristics over-label Kazakh-Russian social text as mixed: Russian loanwords inside Kazakh look like code-switching under a shared Cyrillic script. We release a document-level gold LID set whose guidelin…

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借词还是切换？注释边界而非模型驱动哈萨克语-俄语语码转换识别

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