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        <title>Effective Stemming for Arabic Information Retrieval</title>
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            <title>Proceedings of the International Conference on the Challenge of Arabic for NLP/MT</title>
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    <abstract>Arabic has a very rich and complex morphology. Its appropriate morphological processing is very important for Information Retrieval (IR). In this paper, we propose a new stemming technique that tries to determine the stem of a word representing the semantic core of this word according to Arabic morphology. This method is compared to a commonly used light stemming technique which truncates a word by simple rules. Our tests on TREC collections show that the new stemming technique is more effective than the light stemming.</abstract>
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%0 Conference Proceedings
%T Effective Stemming for Arabic Information Retrieval
%A Kadri, Youssef
%A Nie, Jian-Yun
%S Proceedings of the International Conference on the Challenge of Arabic for NLP/MT
%D 2006
%8 oct 23
%C London, UK
%F kadri-nie-2006-effective
%X Arabic has a very rich and complex morphology. Its appropriate morphological processing is very important for Information Retrieval (IR). In this paper, we propose a new stemming technique that tries to determine the stem of a word representing the semantic core of this word according to Arabic morphology. This method is compared to a commonly used light stemming technique which truncates a word by simple rules. Our tests on TREC collections show that the new stemming technique is more effective than the light stemming.
%U https://aclanthology.org/2006.bcs-1.6
%P 68-75

Markdown (Informal)

[Effective Stemming for Arabic Information Retrieval](https://aclanthology.org/2006.bcs-1.6) (Kadri & Nie, BCS 2006)

• Effective Stemming for Arabic Information Retrieval (Kadri & Nie, BCS 2006)

ACL

• Youssef Kadri and Jian-Yun Nie. 2006. Effective Stemming for Arabic Information Retrieval. In Proceedings of the International Conference on the Challenge of Arabic for NLP/MT, pages 68–75, London, UK.