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This paper describes the system submitted to Dravidian-Codemix-HASOC2021:Hate Speech and Offensive Language Identification in Dravidian Languages(Tamil-English and Malayalam-English). This task aims to identify offensivecontent in code-mixed comments/posts in Dravidian Languages collected fromsocial media. Our approach utilizes pooling the last layers of pretrainedtransformer multilingual BERT for this task which helped us achieve rank nineon the leaderboard with a weighted average score of 0.61 for the Tamil-Englishdataset in subtask B. After the task deadline, we sampled the dataset uniformlyand used the MuRIL pretrained model, which helped us achieve a weighted averagescore of 0.67, the top score in the leaderboard. Furthermore, our approach toutilizing the pretrained models helps reuse our models for the same task with adifferent dataset. Our code and models are available inhttps://github.com/seanbenhur/tanglish-offensive-language-identification

Pretrained Transformers for Offensive Language Identification in Tanglish