Mind Your Language Abuse and Offense Detection for Code Switched Languages

In multilingual societies like the Indian subcontinent, use of code-switched languages is much popular and convenient for the users . The task is made difficult due to non-fixed grammar, vocabulary, semantics and spellings of Hinglish language . We apply transfer learning and make a LSTM based model for hate speech classification . This model surpasses the performance shown by the current best models to establish itself as the state-of-the-art in the state of the art in the unexplored domain of offensive text classification . We also release our model and the embeddings trained for research purposes .

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Keywords : model - code - switched - languages - language -

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