This article aims to understand different transliteration behaviors of Romanized Assamese
text on social media. Assamese, a language that belongs to the Indo-Aryan language family …

NLP systems have empirically worse performance for dialects other than Standard American
English (SAmE). However, how these discrepancies impact use of language technology by …

Social media was initially intended for creative purposes, but a notable dissemination of
offensive material adversely affects users of these platforms. It is imperative to spotlight and …

Large Language Models (LLMs) hold immense potential, but their data hunger can limit its
performance in processing languages with limited resources. This research study explores …

This research introduces an approach to Malayalam-English named entity transliteration
using a BiLSTM with attention mechanism and compares its perfromance with basic LSTM …

This study addresses the challenge of extending Large Language Models (LLMs) to non-
English languages, specifically those using non-Latin scripts. We propose an innovative …

Code-switching entails mixing multiple languages. It is an increasingly occurring
phenomenon in social media texts. Usually, code-mixed texts are written in a single script …

Hindi, one of the most spoken language of India, exhibits a diverse array of accents due to
its usage among individuals from diverse linguistic origins. To enable a robust evaluation of …

In this work, we present the development of a reverse transliteration model to convert
romanized Malayalam to native script using an encoder-decoder framework built with …

Voice assistants like Alexa and Siri have become increasingly advanced due to
improvements in AI and language processing models like GPT and Gemini. However, these …