Recent trends in NLP research have raised an interest in linguistic code-switching (CS);
modern approaches have been proposed to solve a wide range of NLP tasks on multiple …

Many people have begun to use social media platforms due to the increased use of the
Internet over the previous decade. It has a lot of benefits, but it also comes with a lot of risks …

Recent studies have highlighted the presence of cultural biases in Large Language Models
(LLMs), yet often lack a robust methodology to dissect these phenomena comprehensively …

Predicting user intent and detecting the corresponding slots from text are two key problems
in Natural Language Understanding (NLU). In the context of zero-shot learning, this task is …

Aggression is a prominent trait of human beings that can affect social harmony in a negative
way. The hate mongers misuse the freedom of speech in social media platforms to flood with …

In the healthcare domain, medical and patient interactions form a crucial part of the
diagnosis. Initially, the AI models developed for healthcare centered only on monolingual …

To date, efforts in the code-switching literature have focused for the most part on language
identification, POS, NER, and syntactic parsing. In this paper, we address machine …

Code-Switching (CSW) is a common phenomenon that occurs in multilingual geographic or
social contexts, which raises challenging problems for natural language processing tools …

Byte-pair encoding (BPE) is a ubiquitous algorithm in the subword tokenization process of
language models as it provides multiple benefits. However, this process is solely based on …

Being a popular mode of text-based communication in multilingual communities, code
mixing in online social media has become an important subject to study. Learning the …