在统计建模中，有很多分类器构建算法，每个算法构造一组不同的关于数据的假设集合。
In statistical modeling, there are various algorithms to build a classifier, and each algorithm makes a different set of assumptions about the data.
利用这些在任何语言的文本上都极易获得的特征，我们采用最大熵分类器构建了一个基准系统。
They are easily obtainable for almost any language. We build a baseline ne recognizer based on these features.
您将使用分类编辑器构建一个分类，您将其作为表导出并随后用于构建报告。
You will use the taxonomy editor to build a taxonomy, which you will export as a table and use later for the construction of the report.
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