In this paper, a kind of acquisitive method for Chinese POS tagging rules based on collocation mode, is introduced.

文章介绍了一种基于搭配模式的汉语词性标注规则的获取方法。

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Experiments on Chinese TreeBank from different training set size are made. It shows that our approach improves the accuracy of POS tagging over the four training sets with different sizes.

本文以宾州中文树库为实验语料，考查了不同规模的标注数据对模型性能的影响，实验结果表明，本文提出的无监督词性标注方法提高了中文词性标注的性能。

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POS tagging the English texts and incorporating the features driven from the English POS results into POS tagging model for Chinese.

对英文语料库进行词性标注，以获得中文词语对应的英文单词的词性，并将其作为一个特征加入到特征模板。

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