17 citations · 35 across the 15 of their papers we have counts for
16 papers · 1 filter
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
Sankalp Bahad, Pruthwik Mishra, Karunesh Arora +3
Named Entity Recognition (NER) is a useful component in Natural Language Processing (NLP) applications. It is used in various tasks such as Machine Translation, Summarization, Info…
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…
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…
Verb Categorisation for Hindi Word Problem Solving
Harshita Sharma, Pruthwik Mishra, Dipti Misra Sharma
Word problem Solving is a challenging NLP task that deals with solving mathematical problems described in natural language. Recently, there has been renewed interest in developing…
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…
Gui at MixMT 2022 : English-Hinglish: An MT approach for translation of code mixed data
Akshat Gahoi, Jayant Duneja, Anshul Padhi +5
Code-mixed machine translation has become an important task in multilingual communities and extending the task of machine translation to code mixed data has become a common task fo…