Parts Of Speech Tagging System (AI Project)
● Implemented a stochastic approach for predicting parts-of-speech tags in BNC Corpus using NLP in Python.
● Used Hidden Markov Model for estimating an appropriate tag sequence for a sentence.
● Optimized the HMM further by using a dynamic programming algorithm known as Viterbi Algorithm with an accuracy of 95.23.