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。

The paper built a POS tagger based on MaxEnt and word clustering.

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在公共的测试集上对句法分析器的性能进行了评价，对于正确分词和词性标注的句子，句法分析的精确率和召回率分别达到85.89%和85.61%。

The parser was evaluated on the standard test set with PARSEVAL metric. It performed with the precision of 85.89% and the recall rate of 85.61% on the sentences with gold segmentation and POS tagging.

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在公共的测试集上对句法分析器的性能进行了评价，对于正确分词和词性标注的句子，句法分析的精确率和召回率分别达到85.89%和85.61%。

The parser was evaluated on the standard test set with PARSEVAL metric. It performed with the precision of 85.89% and the recall rate of 85.61% on the sentences with gold segmentation and POS tagging.

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