37 citations · 38 across the 3 of their papers we have counts for
3 papers
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization
Jaavid Aktar Husain, Raj Dabre, Aswanth Kumar +4
This study addresses the challenge of extending Large Language Models (LLMs) to non-English languages that use non-Roman scripts. We propose an approach that utilizes the romanized…
IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages
Jay Gala, Pranjal A. Chitale, Raghavan AK +11
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 (…
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
Aswanth Kumar, Ratish Puduppully, Raj Dabre +1
Large language models have demonstrated the capability to perform on machine translation when the input is prompted with a few examples (in-context learning). Translation quality d…