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The main challenge of this alignment is how to handle the synonymy and ambiguity issues in the contents of two units from different sources. Therefore, this paper introduces mapping method that links an Arabic WordNet synset to its corresponding article in Wikipedia. This method uses monolingual and bilingual features to overcome the lack of semantic information in Arabic WordNet. For evaluating this method, an Arabic mapping data set, which contains 1,291 synset\u2013article pairs, is compiled. The experimental analysis shows that the proposed method achieves promising results and outperforms the state-of-the-art methods that depend only on monolingual features. The mapped method has also been used to increase the coverage of Arabic WordNet by inserting new synsets from Wikipedia.<\/jats:p>","DOI":"10.1017\/s1351324915000376","type":"journal-article","created":{"date-parts":[[2015,10,21]],"date-time":"2015-10-21T09:29:30Z","timestamp":1445419770000},"page":"53-91","source":"Crossref","is-referenced-by-count":5,"title":["Mapping Arabic WordNet synsets to Wikipedia articles using monolingual and bilingual features"],"prefix":"10.1017","volume":"23","author":[{"given":"ABDULGABBAR","family":"SAIF","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"MOHD JUZAIDDIN","family":"AB 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