POS tagging with Hidden Markov Model

Implemented Hidden Markov Model training and used it to predict the joint probability of a sentence with given POS tags. Implemented max a posteriori inference to predict the POS tags of a sentence. Conducted quantitive experiments on training and validation sets. Graphically represented performances of different values of hyperparameter with Matplotlib.

/This project was under the curriculum of course CMPUT 463 at the University of Alberta./