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Code-Mixed text data consists of sentences having words or phrases from morethan one language. Most multi-lingual communities worldwide communicate usingmultiple languages, with English usually one of them. Hinglish is a Code-Mixedtext composed of Hindi and English but written in Roman script. This paper aimsto determine the factors influencing the quality of Code-Mixed text datagenerated by the system. For the HinglishEval task, the proposed model usesmulti-lingual BERT to find the similarity between synthetically generated andhuman-generated sentences to predict the quality of synthetically generatedHinglish sentences.

BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers