This paper aims to explain our group SSN_NLP_MLRG submission to HASOC 2021: Hate speech and offensive language detection in English and Indo-Aryan language, wherein we discover one of a kind models to carry out the subtask1 includes subtask A: To discover the remarks is Hate speech and offensive (HOF) or now not and subtask B: to categorize the HOF remarks into profanity (PRFN), Hate speech (HATE), Offensive (OFFN) in English, Hindi language and subtask A in Marathi language. The experiments cowl unique gaining knowledge of strategies that consist of gadget getting to know, transfer studying, and Multilingual pre-educated models. Our exceptional fashions are Roberta for English subtask A, BERT for English subtask B, and MBERT for the Hindi subtask A, Hindi subtask B, and Marathi subtask A.https://www.eurchembull.com/uploads/paper/3743641c46d49700b9557e15b8cb16e7.pdfShare this:FacebookXLike this:Like Loading... Post navigation Contextures of hate: Towards a systems theory of hate communication on social media platforms (The Communication Review) UK acknowledges possible encryption hurdles as online safety law looms (Business Standard)