LekshmiAmmal, H.R.Ravikiran, M.Anand Kumar, M.2026-02-062022DravidianLangTech 2022 - 2nd Workshop on Speech and Language Technologies for Dravidian Languages, Proceedings of the Workshop, 2022, Vol., , p. 75-78https://doi.org/https://idr.nitk.ac.in/handle/123456789/29976Offensive Span identification in Tamil is a shared task that focuses on identifying harmful content, contributing to offensiveness. In this work, we have built a model that can efficiently identify the span of text contributing to offensive content. We have used various transformer-based models to develop the system, out of which the fine-tuned MuRIL model was able to achieve the best overall character F1-score of 0.4489. © 2022 Association for Computational Linguistics.