The Research of Chinese Automatic Word Segmentation In Hierarchical Model Dictionary Binary Tree

被引:0
作者
Luo XianGang [1 ]
Luo Jin [1 ]
Xie Zhong [1 ]
机构
[1] China Univ Geosci, Fac Informat Engn, Wuhan, Peoples R China
来源
FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS | 2009年
关键词
hierarchical model; search engine; Chinese Automatic Word Segmentation;
D O I
10.1109/DBTA.2009.27
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the continuous development and growing popularity of the Internet, the amount of information on-line is in the explosive growth. How to find out the information that we need correctly and quickly from the mass data, then put in the front. Under this background, the Internet search engine grows up rapidly. This article describes the search engine on the general principle and common technology, and on this basis, combined with analyzeing the existing technology of Chinese Automatic Word Segmentation, then to achieve a "wide-based segmentation of the largest positive scan," the Chinese word segmentation algorithm. According to the full text index technology, information search engine uses the means both of by word index and words index. Then, through the set of high-speed computing, and retrieve the information of users' requriements. Finally, using hierarchical model Lexicon Binary Tree, which reserched and realized the model of information search engine.
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页码:321 / 324
页数:4
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