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English(EN) How Much Does Corpus Choice Change Dependency-Distance Estimates?

研究发现:语料库选择显著影响语言依存估计

一项发表在arXiv上的新研究调查了语料库选择如何影响自然语言处理中的依存距离估计。研究人员比较了来自Universal Dependencies v2.18的38个语言树库的估计结果,发现语料库的替换显著改变了结果,近40%的成对语言排序被颠倒。研究表明,依存距离更多地是一个受语法、语域和标注影响的语料库条件因素,而不是一个稳定的语言层面参数,尽管依存长度最小化的普遍原则得到了持续观察。 AI

影响 凸显了语言分析对数据源的敏感性,影响NLP模型的训练和评估。

排序理由 该集群包含一篇发表在arXiv上的研究论文,详细介绍了语言分析方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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研究发现:语料库选择显著影响语言依存估计

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该集群包含一篇发表在arXiv上的研究论文,详细介绍了语言分析方法。[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) · Sirui Chen ·

    语料库选择对依赖距离估计的影响有多大?

    arXiv:2609.04223v1 Announce Type: new Abstract: Dependency-distance estimates derived from a single corpus are routinely treated as properties of a language, yet this assumption has not been tested across independently compiled corpora. We compared mean dependency-distance estima…