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dc.contributor.authorNasria Bouhyaoui-
dc.contributor.authorRanda Benkhelifa-
dc.date.accessioned2020-02-04T10:43:12Z-
dc.date.available2020-02-04T10:43:12Z-
dc.date.issued2019-12-31-
dc.identifier.issn2478-0197-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/22999-
dc.descriptionAl Alamaen_US
dc.description.abstractArabic is considered a Semitic language closely related to Hebrew and Aramaic. It ranks in fifth place of the most spoken languages in the world. Arabic is official Language in 26 countries, and it is the mother tongue of approximately 295 million speakers (McCarthy, 2018). There is a rapid growth of the content of Arabic language on the internet. This calls for the necessity to develop Arabic Natural Language Processing applications. The process of automatic understanding of texts is what we call Natural Language Processing. There is a lack of NLP applications in Arabic language in comparison with other languages in addition the results of processing of the existed application is considered poor because of the complexity of Arabic language nature. The chief purpose of the current study is to address the features of Arabic language that make the task of Arabic NLP a hard task.en_US
dc.language.isofren_US
dc.relation.ispartofseriesAl Alama numéro 09;-
dc.subjectArabic languageen_US
dc.subjectArabic textsen_US
dc.subjectNatural Language Processingen_US
dc.subjectArtificial Intelligenceen_US
dc.titleWhat are the Challenges faced in the processing of Arabic languageen_US
dc.typeArticleen_US
Appears in Collections:Al Alama N 09/ Vol 4, N 2 2019

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