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.
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