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

Mohamad Ababneh1, Riyad Al-Shalabi2, Ghassan Kanaan2, and Alaa Al-Nobani1
1 Computer Information Systems Department, Al-Balqa Applied University, Jordan
2 Computer Information Systems Department, Arab Academy for Banking and Financial Science, Jordan

 

Abstract: 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.

Keywords: Stemmer, natural language, and light stemmers.