IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages

Understand

India has a rich linguistic landscape with languages from 4 major language families spoken by over a billion people.

• 22 of these languages are listed in the Constitution of India (referred to as scheduled languages) are the focus of this work.
• Given the linguistic diversity, high-quality and accessible Machine Translation (MT) systems are essential in a country like India.
• Prior to this work, there was (i) no parallel training data spanning all 22 languages, (ii) no robust benchmarks covering all these languages and containing content relevant to India, and (iii) no existing translation models which support all the 22 scheduled languages of India.