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This paper describes the system submitted to Dravidian-Codemix-HASOC2020:Hate Speech and Offensive Content Identification in Dravidian languages(Tamil-English and Malayalam-English). The task aims to identify offensivelanguage in code-mixed dataset of comments/posts in Dravidian languagescollected from social media. We participated in both Sub-task A, which aims toidentify offensive content in mixed-script (mixture of Native and Roman script)and Sub-task B, which aims to identify offensive content in Roman script, forDravidian languages. In order to address these tasks, we proposed pre-trainingULMFiT on synthetically generated code-mixed data, generated by modellingcode-mixed data generation as a Markov process using Markov chains. Our modelachieved 0.88 weighted F1-score for code-mixed Tamil-English language inSub-task B and got 2nd rank on the leader-board. Additionally, our modelachieved 0.91 weighted F1-score (4th Rank) for mixed-script Malayalam-Englishin Sub-task A and 0.74 weighted F1-score (5th Rank) for code-mixedMalayalam-English language in Sub-task B.

Gauravarora@HASOC-Dravidian-CodeMix-FIRE2020: Pre-training ULMFiT on Synthetically Generated Code-Mixed Data for Hate Speech Detection