我们采用了基于词熵的特征项提取方法，并且使用特征项单词出现频率来表示向量，推导出相应的贝叶斯计算公式。
We adopt a way of attribute selection based on word entropy, use vectors which are represented by word frequency, and deduce its corresponding Bayesian formula.
控制一词的出现频率非常高。
Indeed, the word control turns up with surprising frequency.
英语复合词在书刊特别是科技书刊中出现的频率较高。
The English compound can be often read in the scientific books and journals.
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