The paper built a POS tagger based on MaxEnt and word clustering.
文中构建了一个基于最大熵结合中文词语聚类的词性标注器。
This study investigates the effect of word clustering in the environment of Second language vocabulary learning software (Sevols).
本研究探查了二语词汇学习软件环境中利用词聚合学习词汇的效应问题。
Most of the popular clustering methods are designed for the linear time series, assuming that the stationary time series can be fitted by linear model. In fact, the true word is nonlinear.
由于现实世界中时间序列多数是非线性的，而现有的时间序列聚类问题大多是基于线性时间序列模型进行聚类的，提出了可以用于非线性时间序列的聚类方法。
Most of the popular clustering methods are designed for the linear time series, assuming that the stationary time series can be fitted by linear model. In fact, the true word is nonlinear.
由于现实世界中时间序列多数是非线性的，而现有的时间序列聚类问题大多是基于线性时间序列模型进行聚类的，提出了可以用于非线性时间序列的聚类方法。
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