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English(EN) Corrections of Zipf's and Heaps' Laws Derived from Hapax Rate Models

新模型利用单次出现词比率分析修正齐夫定律和希普定律

作者 PulseAugur 编辑部 · [1 个来源] ·

本研究论文通过开发仅出现一次的词（单次出现词）比例模型，对齐夫定律和希普定律进行了修改。研究假设了一个标准的urn模型用于词语标记采样，并提出单次出现词比率是文本长度的函数。研究了四种此类函数——常数、抵消、线性、和逻辑斯蒂函数，其中逻辑斯蒂模型在英语文本样本中表现出最佳拟合度。论文还讨论了对更大的文本语料库需要更复杂的混合模型。 AI

影响 为自然语言处理模型开发提供了潜在相关的理论语言学见解。

排序理由 学术论文，详细介绍了对语言学定律的理论修正。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CL 阅读 →

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新模型利用单次出现词比率分析修正齐夫定律和希普定律

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学术论文，详细介绍了对语言学定律的理论修正。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · {\L}ukasz D\k{e}bowski ·

    从Hapax率模型推导出的齐夫定律和希普定律的修正

    arXiv:2307.12896v5 Announce Type: replace Abstract: The article introduces corrections to Zipf's and Heaps' laws based on systematic models of the proportion of hapaxes, i.e., words that occur once. The derivation rests on two assumptions. The first one is the standard urn model …

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