期刊文献+

基于最大熵模型的中文名词短语识别

Chinese NP Recognition Based on a Maximum Entropy Model
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摘要 中文名词短语识别在自然语言处理已经得到了广泛应用。该文首先对名词短语识别问题进行描述,然后利用最大熵模型建立名词短语识别系统,通过实验选取最大熵模型的特征,最后利用选取的特征进行名词短语识别,实验结果表明系统达到了较高的准确率和召回率。 Chinese NP Recognition had wide.This paper firstly described the chinese NP recognition,constructed a system for chinese NP recognition using the maximum entropy model.It selected a feature by testing the system.Finally It recognized the Chinese NP uesed the feature which was selected.The experimental result proved that the system reach high precision and recall.
作者 张惠春
出处 《电脑知识与技术(过刊)》 2009年第3X期1928-1930,共3页 Computer Knowledge and Technology
关键词 最大熵模型 名词短语 特征选择 Maximum entropy Chinese NP Feature selection
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