3 citations · 4 across the 7 of their papers we have counts for
5 papers · 1 filter
Lexical and Statistical Analysis of Bangla Newspaper and Literature: A Corpus-Driven Study on Diversity, Readability, and NLP Adaptation
Pramit Bhattacharyya, Arnab Bhattacharya
In this paper, we present a comprehensive corpus-driven analysis of Bangla literary and newspaper texts to investigate their lexical diversity, structural complexity and readabilit…
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs
V. S. D. S. Mahesh Akavarapu, Hrishikesh Terdalkar, Pramit Bhattacharyya +5
Large Language Models (LLMs) have demonstrated remarkable generalization capabilities across diverse tasks and languages. In this study, we focus on natural language understanding…
BanglaByT5: Byte-Level Modelling for Bangla
Pramit Bhattacharyya, Arnab Bhattacharya
Large language models (LLMs) have achieved remarkable success across various natural language processing tasks. However, most LLM models use traditional tokenizers like BPE and Sen…
Leveraging LLMs for Bangla Grammar Error Correction:Error Categorization, Synthetic Data, and Model Evaluation
Pramit Bhattacharyya, Arnab Bhattacharya
Large Language Models (LLMs) perform exceedingly well in Natural Language Understanding (NLU) tasks for many languages including English. However, despite being the fifth most-spok…
Vacaspati: A Diverse Corpus of Bangla Literature
Pramit Bhattacharyya, Joydeep Mondal, Subhadip Maji +1
Bangla (or Bengali) is the fifth most spoken language globally; yet, the state-of-the-art NLP in Bangla is lagging for even simple tasks such as lemmatization, POS tagging, etc. Th…