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

5 citations · 7 across the 3 of their papers we have counts for

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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.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.CL20235 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…

cs.CL20212 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…