With the advent of transformer-based machine translation models, researchers have been successful in implementing state-of-the-art performance in natural language processing (NLP). In 2018, Google open-sourced its groundbreaking state-of-the-art technique for NLP pre-training called Bidirectional Encoder Representations from Transformers, or BERT. With the help of this model, one can train their state-of-the-art NLP model in a…

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