Recent advances in building high-quality textual corpora and the application of computational methods of analysis such as Natural Language Processing (NLP) have allowed Humanities scholars to pose new and fundamental questions in their respective fields. However, a lack of technical capacity in these areas is still a hurdle for many researchers, especially those working with under-resourced languages like Arabic. We address these issues by prototyping the MUTUN platform for streamlining Arabic-language corpus development and analysis for non-technical researchers in the Humanities. Specifically, the proposed corpus management tool will enable users to: (1) create a corpus by importing texts from existing corpora or adding their own digitized texts; (2) utilize a variety of organizational features for textual metadata, biobibliographical functions, and advanced corpus search capabilities; and (3) automatically annotate and analyze their corpus using the suite of NLP tools for Arabic-script texts developed by the CAMeL Lab team (NYU Abu Dhabi). Implementing new Digital Humanities tools in concert with the corpus building capabilities of MUTUN will empower non-technical researchers by providing an accessible digital toolbox for Arabic texts. Going forward, we will seek additional funding from national and international granting agencies in order to build out the platform for wider adoption.

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