CLIP colloquium: Mona Diab (George Washington U)

We recently witnessed an exponential growth in  Arabic social media usage. Processing such media is of great utility for all kinds of applications ranging from information extraction to social media analytics for political and commercial  purposes to building decision support systems. Compared to other languages, Arabic, especially the informal variety, poses a significant challenge to natural language processing algorithms since it comprises multiple dialects, linguistic code switching, and a lack of standardized orthographies, to top its relatively complex morphology. Inherently, the problem of processing Arabic in the context of social media is the problem of how to handle resource poor languages. In this talk I will go over some of our insights to some of these problems and show how there is a silver lining where we can generalize some of our solutions to other low resource language contexts.