WebJul 14, 2016 · Good-Turing估计是许多数据平滑技术的核心。它的基本思想是:将统计参数按出现次数聚类(如果 #(xj ) = #(xj‘), then θ[j] = θ[j’]),出现一次的多少,出现两次的多 … WebJul 20, 2024 · 无论是原始的语言模型还是n-gram语言模型,都是使用极大似然估计法来估计概率值,通过统计频次来近似概率值,统计频次极有可能统计不到较长句子的频次。. 这被称为数据稀疏,对于n-gram语言模型来说,n越大,数据稀疏的问题越严重。. 即使是使用n相对 …
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