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