摘要
基于隐马尔可夫模型(HMM)对汉语文本进行了词性标注,首先介绍隐马尔可夫模型的基本概念,然后着重介绍了隐马尔可夫模型的三个基本问题以及解决问题的基本算法,最后演示了隐马尔可夫模型在词性标注中的简单应用。
This paper describe hidden markov models and its application to natural language process, First introduced Hidden Markov Model basic concept, then introduced the Hidden Markov Model three basic issues and the basic algorithm to the problems, finally give a demonstration of Chinese part - of - speech tagging using the HMM.
出处
《微处理机》
2009年第3期74-76,共3页
Microprocessors
基金
国家科技部创新基金(04c26214100672)
