Search Results for author: Pranjal A. Chitale

Found 2 papers, 1 papers with code

An Empirical Study of In-context Learning in LLMs for Machine Translation

no code implementations • 22 Jan 2024 • Pranjal A. Chitale, Jay Gala, Raj Dabre

While we establish the significance of the quality of the target distribution over the source distribution of demonstrations, we further observe that perturbations sometimes act as regularizers, resulting in performance improvements.

In-Context Learning Machine Translation +2

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

2 code implementations • 25 May 2023 • Jay Gala, Pranjal A. Chitale, Raghavan AK, Varun Gumma, Sumanth Doddapaneni, Aswanth Kumar, Janki Nawale, Anupama Sujatha, Ratish Puduppully, Vivek Raghavan, Pratyush Kumar, Mitesh M. Khapra, Raj Dabre, Anoop Kunchukuttan

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.

Machine Translation Sentence +1

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