Abstract
Information Retrieval system aims to help people find relevant information when they request it. This paper is interested in Noun Phrases (NPs) for Arabic language; generally the Noun Phrase Extractor is made up of three modules: tokenization; part-of-speech tagging; noun phrase identification. Also we will preview Noun Phrase Extractors, compare between them according to their suitability for building the new system, We focused on the effect of using the Arabic noun phrases that has been extracted on the information retrieval system in the light of computing measures of evaluation (Recall and Precision), we found that we get more relevant documents from the retrieved ones when using NPs rather than using single terms, on the other side number of retrieved documents will be decreased.
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