Despite being a widely spoken language, it has been widely acknowledged that it has few publicly available tools and resources, apart from a few notable exceptions (Mahmoud El-Haj et al., 2015).
arabic NLP lacks resources such as corpora, lexicons, machine-readable dictionaries, Datasets in addition to fully automated fundamental NLP tools such as tokenizers, partof-speech taggers, parsers, stemmers and semantic role labelers.