2 citations · 2 across the 5 of their papers we have counts for
6 papers
BaatCheet: A Multilingual Corpus for Dialogue Translation in Indian Languages
Priyanka Dasari, Yuvrajsinh D. Bodana, Vandan Mujadia +3
Existing translation models are typically trained on sentence-level and formal text, limiting their ability to capture everyday conversational dialogue phenomena such as informalit…
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
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…
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…
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…
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…