An error driven method to improve rules for the recognition of Chinese modality “LE”

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010) Pub Date : 2010-09-30 DOI:10.1109/NLPKE.2010.5587825

Yihui Zhou, Hongying Zan, Lingling Mu, Yingcheng Yuan

引用次数: 1

Abstract

We have a “Trinity” way for the recognition of Chinese modality “LE”, in which dictionary, usage rule base and usage corpora combine as the knowledge base. Handcrafted rules can hardly cover all usages in the real texts. So this paper proposes an error driven method for the automatic rules improvement. Experimental results show that, after the automatic rules improvement, the recognition precision of the modality “LE” improves by over 1.85%.

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改进汉语情态“LE”识别规则的误差驱动方法

我们提出了汉语情态“LE”识别的“三位一体”方法，即词典、用法规则库和用法语料库相结合作为知识库。手工制定的规则很难涵盖实际文本中的所有用法。为此，本文提出了一种误差驱动的规则自动改进方法。实验结果表明，经过自动规则改进后，模态“LE”的识别精度提高了1.85%以上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering(NLPKE-2010)

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