3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2023
"A Little is Enough": Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation
Akshay Batheja, Pushpak Bhattacharyya
Quality Estimation (QE) is the task of evaluating the quality of a translation when reference translation is not available. The goal of QE aligns with the task of corpus filtering,…
cs.CL2023★ 3 cited
VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages
Shivam Mhaskar, Vineet Bhat, Akshay Batheja +3
In this work, we present our deployment-ready Speech-to-Speech Machine Translation (SSMT) system for English-Hindi, English-Marathi, and Hindi-Marathi language pairs. We develop th…
cs.CL2023
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering
Akshay Batheja, Pushpak Bhattacharyya
In this paper, we show that the combination of Phrase Pair Injection and Corpus Filtering boosts the performance of Neural Machine Translation (NMT) systems. We extract parallel ph…