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基于贝叶斯学习的中文专家系统
引用本文:艾尼瓦尔·努尔买买提.基于贝叶斯学习的中文专家系统[J].和田师范专科学校学报,2009,28(5):188-190.
作者姓名:艾尼瓦尔·努尔买买提
作者单位:和田师专计算机科学系,新疆和田,848000
摘    要:对于围绕特定话题进行对话练习的情形,我们用贝叶斯定律构造了中文专家系统的原形。系统里存储的知识来自于中文教科书。学生通过WEB浏览器的用户界面,能够展开对话。本系统自动生成合适的句子来维持用户与系统之间的对话。实验结果表明,本中文专家系统将给学习汉语的学生提供非常实用的工具。

关 键 词:贝叶斯定律  专家系统  中文  中文分词  概率学习

A Bayesian Learning based Chinese Language Expert System
Abstract:We present the prototype of Chinese language expert system that applies Bayesian theorem to generate conversation exercises for a given topic. The knowledge stored in the system was learned from the contents of a Chinese language textbook. Students can initiate conversations with this expert system via a Web-browser-orianted user interface. The experimental result shows that this Chinese language expert system will provide a very useful learning tool for students who wish to study Mandarin will provide a very useful learning tool for students who wish to study Mandarin Chinese.
Keywords:Bayesian theorem  expert system  Chinese language  Chinese segmentation  probability learning
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