Arabic Language Processing using Python NLTK

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dc.contributor.authorSadik Bessou
dc.date.accessioned2023-05-02T09:11:00Z
dc.date.available2023-05-02T09:11:00Z
dc.date.issued2010
dc.description.abstractAbstract In this paper, we present a useful toolkit: NLTK (Natural Language ToolKit), a suite of libraries and programs in python language for symbolic and statistical natural language processing. We explain the main functionalities such tokenization, stemming, tagging, parsing, and semantic reasoning applied on Arabic texts. These functionalities are very useful for Natural language processing developers and even for linguistsen_US
dc.identifier.urihttp://dspace.univ-msila.dz:8080//xmlui/handle/123456789/36171
dc.titleArabic Language Processing using Python NLTKen_US

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