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20232026
most citedVAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages

3 citations · 3 across the 6 of their papers we have counts for

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cs.CL2026

IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages

Diptesh Kanojia, Archchana Sindhujan, Sourabh Deoghare +14

Indic quality estimation (QE) and automatic post-editing (APE) data is spread across separate releases, so no single resource supports training and evaluation across tasks and lang…

cs.CL2026

Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation

Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya

Neural Machine Translation (NMT) systems rely heavily on explicit punctuation cues to resolve semantic ambiguities in a source sentence. Inputting user-generated sentences, which a…

cs.CL2025

Giving the Old a Fresh Spin: Quality Estimation-Assisted Constrained Decoding for Automatic Post-Editing

Sourabh Deoghare, Diptesh Kanojia, Pushpak Bhattacharyya

Automatic Post-Editing (APE) systems often struggle with over-correction, where unnecessary modifications are made to a translation, diverging from the principle of minimal editing…

cs.CL2024

Together We Can: Multilingual Automatic Post-Editing for Low-Resource Languages

Sourabh Deoghare, Diptesh Kanojia, Pushpak Bhattacharyya

This exploratory study investigates the potential of multilingual Automatic Post-Editing (APE) systems to enhance the quality of machine translations for low-resource Indo-Aryan la…

cs.CL2023

APE-then-QE: Correcting then Filtering Pseudo Parallel Corpora for MT Training Data Creation

Akshay Batheja, Sourabh Deoghare, Diptesh Kanojia +1

Automatic Post-Editing (APE) is the task of automatically identifying and correcting errors in the Machine Translation (MT) outputs. We propose a repair-filter-use methodology that…

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…