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With a sharp rise in fluency and users of "Hinglish" in linguisticallydiverse country, India, it has increasingly become important to analyze socialcontent written in this language in platforms such as Twitter, Reddit,Facebook. This project focuses on using deep learning techniques to tackle aclassification problem in categorizing social content written in Hindi-Englishinto Abusive, Hate-Inducing and Not offensive categories. We utilizebi-directional sequence models with easy text augmentation techniques such assynonym replacement, random insertion, random swap, and random deletion toproduce a state of the art classifier that outperforms the previous work doneon analyzing this dataset.

"Hinglish" Language -- Modeling a Messy Code-Mixed Language