摘要
分词是所有中文信息处理工作的基础,也是汉语信息处理的难点之一,如何识别文中出现的新词更成为当前研究的重点之一。本文综合利用几种传统的机械分词方法,加上统计学的方法,提出了一种从文献中抽取新词的新方法。
Automatic segmentation is the foundation of Chinese information processing and also one of its difficult points. How to identify the new words in the articles has become one of the research focus at present. This paper puts forward a new method of taking out new words from articles by the comprehensive use of several traditional automatic segmentation methods and the method of statistics.
出处
《情报理论与实践》
CSSCI
北大核心
2005年第5期475-477,共3页
Information Studies:Theory & Application
