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20212025
most citedAssessing Translation capabilities of Large Language Models involving English and Indian Languages

5 citations · 10 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2025

CorIL: Towards Enriching Indian Language to Indian Language Parallel Corpora and Machine Translation Systems

Soham Bhattacharjee, Mukund K Roy, Yathish Poojary +19

India's linguistic landscape is one of the most diverse in the world, comprising over 120 major languages and approximately 1,600 additional languages, with 22 officially recognize…

cs.CL2025

Crosslingual Optimized Metric for Translation Assessment of Indian Languages

Arafat Ahsan, Vandan Mujadia, Pruthwik Mishra +2

Automatic evaluation of translation remains a challenging task owing to the orthographic, morphological, syntactic and semantic richness and divergence observed across languages. S…

cs.CL2025★ 1 cited

BhashaVerse : Translation Ecosystem for Indian Subcontinent Languages

Vandan Mujadia, Dipti Misra Sharma

This paper focuses on developing translation models and related applications for 36 Indian languages, including Assamese, Awadhi, Bengali, Bhojpuri, Braj, Bodo, Dogri, English, Kon…

cs.CL2024

Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages

Vandan Mujadia, Pruthwik Mishra, Arafat Ahsan +1

With the primary focus on evaluating the effectiveness of large language models for automatic reference-less translation assessment, this work presents our experiments on mimicking…

cs.CL2023

Automatic Data Retrieval for Cross Lingual Summarization

Nikhilesh Bhatnagar, Ashok Urlana, Vandan Mujadia +2

Cross-lingual summarization involves the summarization of text written in one language to a different one. There is a body of research addressing cross-lingual summarization from E…

cs.CL2023★ 5 cited

Assessing Translation capabilities of Large Language Models involving English and Indian Languages

Vandan Mujadia, Ashok Urlana, Yash Bhaskar +4

Generative Large Language Models (LLMs) have achieved remarkable advancements in various NLP tasks. In this work, our aim is to explore the multilingual capabilities of large langu…

eess.AS2022★ 2 cited

Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages

Anusha Prakash, Arun Kumar, Ashish Seth +24

Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation in…

cs.CL2021★ 2 cited

Assessing Post-editing Effort in the English-Hindi Direction

Arafat Ahsan, Vandan Mujadia, Dipti Misra Sharma

We present findings from a first in-depth post-editing effort estimation study in the English-Hindi direction along multiple effort indicators. We conduct a controlled experiment i…