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DC Field | Value | Language |
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dc.contributor.author | Nasria Bouhyaoui | - |
dc.contributor.author | Randa Benkhelifa | - |
dc.date.accessioned | 2020-02-04T10:43:12Z | - |
dc.date.available | 2020-02-04T10:43:12Z | - |
dc.date.issued | 2019-12-31 | - |
dc.identifier.issn | 2478-0197 | - |
dc.identifier.uri | http://dspace.univ-ouargla.dz/jspui/handle/123456789/22999 | - |
dc.description | Al Alama | en_US |
dc.description.abstract | Arabic 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.iso | fr | en_US |
dc.relation.ispartofseries | Al Alama numéro 09; | - |
dc.subject | Arabic language | en_US |
dc.subject | Arabic texts | en_US |
dc.subject | Natural Language Processing | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.title | What are the Challenges faced in the processing of Arabic language | en_US |
dc.type | Article | en_US |
Appears in Collections: | Al Alama N 09/ Vol 4, N 2 2019 |
Files in This Item:
File | Description | Size | Format | |
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A0912F.pdf | 880,26 kB | Adobe PDF | View/Open |
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