Abstract

With the increase of web use in Morocco today, Internet has become an important source of information. Specifically, across social media, Moroccan people use several languages in their communication leaving behind unstructured user-generated text that present several opportunities for Natural Language Processing. Among languages found in this data, Moroccan Dialectal Arabic stands with an important content and several features. In this paper, we investigate online written text generated by Moroccan users in social media with an emphasis on Moroccan Dialectal Arabic. For this purpose, we follow several steps, using some tools such as a language identification system, in order to conduct a deep study of this data. The most interesting findings that have emerged is the use of code switching, multi-script and low amount of words in Moroccan UGT text.

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