Imagine a construction worker from Odisha going to Bangalore to find work. Or a citizen from interior Nagaland trying to interact with the state government. Language is a barrier to both these people and it can make livelihoods rather challenging. But current research in AI – from deep neural networks to massive multi-lingual models – are already trying to solve this problem.  Credits:  Narration: Harsha Bhogle Executive Producer: Gaurav Vaz Producer: Archana Nathan Research, Interviews and Scripts: Vinay Aravind Narrative overview: Charu Sharma and Shriram Parthasarathy Title track, sound design and background score: Nikhil Rao and Abhijit Nath.  All clips and voices used in this podcast are owned by the original creators We thank wholeheartedly all our guests who appeared on this episode  Dr. Shobha Satyanath, a professor of linguistics at Delhi University  Kalika Bali, Principal Researcher, Microsoft India  Dr. Monojit Chowdhury, Principal Data and Applied Scientist with Turing  Dr. Vivek Seshadri, a researcher at Microsoft India.  Links to clips used in the episode and citations:  The Language Barrier Plaguing India's Stock Market | Mint (livemint.com)  Jawaharlal Nehru’s Tryst with Destiny speech 780 Indian languages surveyed and documented by PLSI, next aim to document 6000 world languages | India News The Indian Express  List of the 122 census recognised languages of India, including Scheduled and Non-Scheduled Languages  Prof. G.N. Devy: 'All our languages are losing linguistic prowess' - Frontline (thehindu.com)  Deep Learning Neural Networks Explained in Plain English (freecodecamp.org)  Artificial Intelligence wrote this entire video. Are you scared yet, human?  Project Karya - Microsoft Research  ELLORA: Enabling Low Resource Languages - Microsoft Research  Microsoft Turing Universal Language Representation model, T-ULRv5, tops XTREME leaderboard and trains 100x faster - Microsoft Research  CGNet Swara’s website Cognitive Services—APIs for AI Solutions | Microsoft Azure