广西科学院学报

引用本文：

傅赛香,袁鼎荣,黄柏雄,钟智.基于统计的无词典分词方法[J].广西科学院学报,2002,(4):252-255,264. [点击复制]
Fu Saixiang,Yuan Dingrong,Huang Boxiong,Zhong Zhi.Word Extraction without Dictionary Based on Statistics[J].Journal of Guangxi Academy of Sciences,2002,(4):252-255,264. [点击复制]

【打印本页】【在线阅读全文】【下载PDF全文】【查看/发表评论】【下载PDF阅读器】【关闭】

本文已被：浏览 232次下载 254次	码上扫一扫！
基于统计的无词典分词方法
傅赛香¹, 袁鼎荣², 黄柏雄², 钟智²
0 字体:加大+\|默认\|缩小-
(1.中国科学院计算技术研究所智能信息处理开放实验室, 北京 100080;2.广西师范大学计算机科学系, 桂林 541004)

摘要:

通过分析词的结合模式,提出无词典分词模型,并对该模型进行实验测试。测试结果表明,无词典分词模型能够满足快速分词的要求。

关键词: 自动分词无词典分词词条过滤词条统计

DOI：

投稿时间：2002-06-08

基金项目:

Word Extraction without Dictionary Based on Statistics

Fu Saixiang¹, Yuan Dingrong², Huang Boxiong², Zhong Zhi²

(1.The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, CAS, Beijing, 100080;2.Department of Computer Science, Guangxi Normal University, Guilin, 541004)

Abstract:

The method for extracting words without dictionary based on statistics is discussed.Three principles on word filtering are proposed by analyzing the combination models of words.The model for word extraction is developed,and meet the requirement of rapid extraction in the experiments.

Key words: automated word extraction word extracting without dictionary word filtering word statistics

用微信扫一扫