Building an Effective Rule-Based Light Stemmer for Arabic Language to Improve Search Effectiveness

被引：0
|
作者：
Ababneh, Mohamad [1 ]
Al-Shalabi, Riyad
Kanaan, Ghassan
Al-Nobani, Alaa [1 ]
机构：
[1] Al Balqa Appl Univ, Comp Informat Syst Dept, Salt, Jordan
来源：
INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY | 2012年 / 9卷 / 04期
关键词：
Stemmer; natural language; light stemmers;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Building an effective stemmer for Arabic language has been always a hot research topic in the IR field since Arabic language has a very different and difficult structure than other languages, that's because it is a very rich language with complex morphology. Many linguistic and light stemmers have been developed for Arabic language but still there are many weakness and problems, in this paper we introduce a new light stemming technique and compare it with other used stemmers and show how it improves the search effectiveness.
引用
收藏
页码：368 / 372
页数：5
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