本文提出一种词性标注规则自动学习算法。

A learning algorithm is presented to acquire and optimize rules which are applied on part of speech tagging.

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提出了一种基于进化选择的入侵规则自动学习算法。

An automatic learning method of intrusive rules based on evolutional selection was proposed.

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接着，为了提高正确率，本文又结合错误驱动思想进行规则剪枝，削减了规则自动学习过程所带来的“噪声”；

Thirdly, for the purpose of a higher precision value, this paper consequently adds error-driven theory in the system to prune the rule corpus.

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