文章利用方差分析方法，提出了一种与分布无关的线性分类算法。

This article USES the ideology of variance analysis and provides a linear classifying algorithm which is with-out the connection with distribution.

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当然，您也可以这样分析高层次语法特性或者甚至是与NLTK无关的数据集的频率分布。

Of course, you can equally analyze frequencies of higher-level grammatical features, or even of data sets unrelated to NLTK.

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这样，它们就组成了一个与平台无关的分布式计算框架所必需的基本内容。

Thus they make up the basic necessities for a platform independent distributed computing framework.

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