Kabil Boukhari

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In this work, we propose a new stemmer algorithm to indexing unstructured Document. It can detect the most relevant words in an unstructured document. This algorithm is based on two main modules: the first module ensures the processing of compound words and the second allows the detection of the endings of the words that have not been taken into(More)
The document indexing is a fairly sensitive phase in the information retrieval. However, terms presented in a document are not sufficient to completely represent it. Then, the exploitation of the implicit information, through external resources, is necessary for better indexing. For this purpose, a new indexing model for biomedical documents based on(More)
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