Vaibhav Sharma — accepted AI-conference papers

2025

Leveraging the Cross-Domain & Cross-Linguistic Corpus for Low Resource NMT: A Case Study On Bhili-Hindi-English Parallel Corpus

Pooja Singh, Shashwat Bhardwaj, Vaibhav Sharma, Sandeep Kumar

EMNLP 2025

The linguistic diversity of India poses significant machine translation challenges, especially for underrepresented tribal languages like Bhili, which lack high-quality linguistic resources. This paper addresses the gap by introducing Bhili-Hindi-English Parallel Corpus (BHEPC), the first and larges

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2025

PoseStitch-SLT: Linguistically Inspired Pose-Stitching for End-to-End Sign Language Translation

Abhinav Joshi, Vaibhav Sharma, Sanjeet Singh, Ashutosh Modi

EMNLP 2025

Sign language translation remains a challenging task due to the scarcity of large-scale, sentence-aligned datasets. Prior arts have focused on various feature extraction and architectural changes to support neural machine translation for sign languages. We propose PoseStitch-SLT, a novel pre-trainin

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