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We utilized a pre-trained model to classify Arabic text. After conducting extensive research, we found that MarBERT was the best model for classifying Arabic offensive tweets. It focuses on dialectal Arabic (DA) and Modern Standard Arabic (MSA). The competition involves two shared sub-tasks: detecting whether a tweet is offensive or not; and det…
The "عربي - Franko" Chrome extension is designed to provide translation services between Franko text and Arabic. It enables users to easily translate text from Franko to Arabic and vice versa.
WIBARAB is a project in the field of Arabic dialectology. It consists of various regional sub-projects (four PhD projects) and a large database about bedouin-type dialects of Arabic. The Feature Database will be the main point of integrating the results of the sub-projects. In this repository we collect the primary data of the database in TEI/XML.