Arabic language faces technical and cultural challenges, including a lack of high-quality resources and the prevalence of regional dialects, which hinders the development of effective language processing systems. Therefore, the "Murabaa" platform was developed to transform Arabic linguistic knowledge into integrated digital resources. The platform aims to provide accurate digital content and promote the use of Arabic in various fields to bridge the gap between tradition and modernity by offering integrated linguistic resources for developing advanced research tools. The platform provides eight accurate dictionaries in the form of a website and a web application, contributing to the digitization of knowledge and its representation within the framework of standard lexical markup. In this study, we also conduct a quantitative comparison of the resources against similar ones to assess the quality of the linguistic knowledge they provide.

Several tools and resources have been developed to deal with Arabic NLP. However, a homogenous and flexible Arabic environment that gathers these components is rarely available. In this perspective, we introduce SAFAR which is a monolingual framework developed in accordance with software engineering requirements and dedicated to Arabic language, especially, the modern standard Arabic and Moroccan dialect. After one decade of integration and development, SAFAR possesses today more than 50 tools and resources that can be exploited either using its API or using its web interface.