Youssef Kadri

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2008

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A Comparative Study for Query Translation using Linear Combination and Confidence Measure
Youssef Kadri | Jian-Yun Nie
Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-I

2006

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Effective Stemming for Arabic Information Retrieval
Youssef Kadri | Jian-Yun Nie
Proceedings of the International Conference on the Challenge of Arabic for NLP/MT

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.
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