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

页码：368 / 372

页数：5

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