The Research of Knowledge-based Chinese Segmentation Method

被引：0
|
作者：
Zhou, Guangming [1 ]
机构：
[1] Shenzhen Polytech, Sch Comp Engn, Shenzhen, Peoples R China
来源：
MATERIAL SCIENCE, CIVIL ENGINEERING AND ARCHITECTURE SCIENCE, MECHANICAL ENGINEERING AND MANUFACTURING TECHNOLOGY II | 2014年 / 651-653卷
关键词：
artificial intelligence; natural language processing; Chinese segmenting; syntax semantics; ambiguity processing;
D O I：
10.4028/www.scientific.net/AMM.651-653.2545
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Current Chinese segmenting method doesn't consider grammar and semantics during the process of segmenting. So segmenting accuracy and speed are not good. Therefore, on the base of analyzing the peculiarity of Chinese, a knowledge-based Chinese segment method, KSM, is presented. It uses a dictionary of hierarchical structure to get all the re-segmented words and makes ambiguity processing easy and effective. It gets support not only from letters and words knowledge, but from grammar and semantics knowledge. It removes wrong segmentation by checking grammar and semantics. Also It can learn new words to improve the accuracy of segmenting.
引用
收藏
页码：2545 / 2548
页数：4
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