Here we explore SVM for a Chinese word segmentation task, use the context attributes and rule-based attributes as the features for a sample.
本文首次使用SVM方法来完成中文分词的任务，使用上下文窗体属性和基于规则的属性对样本进行刻画。
Specify a constraining rule based on the values of two or more attributes.
根据两个或更多属性的值指定一个约束规则。
Based on rough set theory, a rule inference approach of integrating the importance of attributes with the emergence frequency of attribute value is proposed.
提出一种基于粗集理论的，把属性的重要性和属性值的出现频率综合起来进行规则推理的方法。
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