India is a multilingual society with 1369 rationalized languages and dialects being spoken
across the country (INDIA, 2011). Of these, the 22 scheduled languages have a staggering …

The mix of native language with other languages (code-mixing) in social media has posed a
severe challenge for language identification (LID) systems. It has encouraged research on …

Language identification (" LI") is the problem of determining the natural language that a
document or part thereof is written in. Automatic LI has been extensively researched for over …

Code-switching is the use of more than one language in the same conversation or utterance.
Recently, multilingual contextual embedding models, trained on multiple monolingual …

Training language models for Code-mixed (CM) language is known to be a difficult problem
because of lack of data compounded by the increased confusability due to the presence of …

Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …

Social media platforms are widely used by people to report, access, and share information
during outbreaks and epidemics. Although government agencies and healthcare institutions …

Abstract Language identification (LID) is a critical first step for processing multilingual text.
Yet most LID systems are not designed to handle the linguistic diversity of global platforms …

Abstract Models such as mBERT and XLMR have shown success in solving Code-Mixed
NLP tasks even though they were not exposed to such text during pretraining. Code-Mixed …

Text generation is a highly active area of research in the computational linguistic community.
The evaluation of the generated text is a challenging task and multiple theories and metrics …