A Toolkit For Urdu Language Using NLP

Abstract

This toolkit aims to address the growing concern of harmful and false content on various communication platforms. It provides three features for Urdu language users, namely Toxic Content Detection, Fake Content Detection, and Voice Cloning. The Toxic Content Detection feature uses machine learning algorithms and natural language processing to analyze text and voice notes for threat or abusive content. Similarly, the Fake Content Detection feature uses the same technologies to detect false or misleading information. Finally, the Voice Cloning feature uses speech synthesis technology and audio processing to generate a voice note containing text in a selected voice. The toolkit's objective is to create a safer and more trustworthy online environment for Urdu language users. The need for such a tool arises from the increasing amount of harmful and false information being circulated on social media and other online platforms. The toolkit's innovative features can help detect such content and provide a way for users to generate trustworthy voice notes. This toolkit can be used by anyone who wants to ensure the content they are consuming or sharing is safe and authentic. Overall, this toolkit can contribute to promoting digital well-being and enhancing communication experiences in Urdu language communities.