This world has become a global village due to the emergence of the Internet and smart devices. People are more intended to connect with others in a virtual world (the online world) instead of the real world and this thing has affected the society norms as well. Blogs, Tweets, YouTube, Facebook posts and many other social media applications and websites are used as a platform on which people share their thoughts, their ideas and somehow their routine. Also, these platforms are connecting people of different races, nationalities and indeed distinct origins (of native language). People use a common language (like English) for communication purpose, but somehow, they have an inclination to their native languages. Even social media platforms are allowing multilingual settings, e.g. Facebook, Blogs, and Twitter. Therefore, the multilingual text is growing day by day over the Internet. Consequently, research on multilingual text is attracting the attention of the research community.

The majority of the previous work has focused on mono-lingual text for author profiling (for example, PAN Author Profiling Competitions). However, the problem of author profiling on multilingual, particularly on SMS messages has not been thoroughly explored in the past. The FIRE'18-MAPonSMS presents an exciting opportunity to research community in developing and evaluating models for multilingual author profiling on SMS messages.

Given a multilingual (Roman Urdu and English) SMS messages profile, your task is to determine its author’s gender and age (both individually and jointly).