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  High Performance Computing( HPC) has come an decreasingly important area of exploration in Natural Language Processing( NLP) due to the growing need for recycling large quantities of data. The main thing of HPC in NLP is to reduce the processing time and increase the delicacy of NLP algorithms. NLP operations are frequently computationally ferocious, taking large quantities of data processing, and can take a long time to run on a single machine. This is where HPC comes into play, allowing for the parallel processing of data across multiple computers, adding the processing speed and effectiveness of NLP algorithms. One of the main  challenges  in HPC for NLP is  dealing  with the  irregular  and  meager  nature  of the data. In NLP, the data is  generally   represented  in the  form  of  textbook , which is  unshaped  and has a  large   number  of  unique   words . This m...