1. Design a program to enrich the tagging corpus by applying several queries with updation in emmision probality and transition probability Table. Also, formulate a bar graph to represent the percentage of different tags in the corpus.

This question is from the topic "Hidden Markov Models-based Tagging" in natural language processing course. Python code is required which should be run in google colab. Do not copy-paste some random code in chatGPT or the internet. "USE your brain". Need both code and output screenshots.

FAKE experts stay away.