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Text interpretation depends among other things on a pre-processing stage in extracting effectively a correct stem or root. Since there is no available standard stemmer for Arabic, we address here five methods for extracting Arabic roots and the outcomes of the approach with best results will be used later on. Four of these methods are based on a(More)
Arabic text interpretation depends among other things on a pre-processing stage in extracting effectively a correct stem or root. We address in this work a linguistic approach for root extraction as a pre-processing step for Arabic text mining. The linguistic approach is composed of a rule-based light stemmer and a pattern-based infix remover. We propose an(More)
Nowadays extensive volumes of pesticides are employed for agricultural and environmental practices, but they have negative effects on human health. The levels of pesticides are necessarily restricted by international regulatory agencies, thus rapid, cost-effective and in-field analysis of pesticides is an important issue. In the present work, we propose a(More)
Stemming is considered as a pre-processing step in many applications: text mining, information retrieval, machine translation etc. The Arabic language has many special cases or properties that affect stemming or any automatic method, it depends on both inflectional and derivational morphology to produce the various forms of the language words. Many(More)
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