Noun Extraction Tool for ANLP Applications

Noun is a word representing an idea, a thing, a person or a place. Identifying nouns in Arabic texts is an important task in many Arabic Natural Language Processing (ANLP) applications. This paper presents a noun extraction system that extracts nouns according to Arabic grammar rules. The system was evaluated against the widely used Stanford Arabic Part of Speech (POS) tagger. The results show that our proposed method is more efficient and achieves benchmark accuracies