Part-Of-Speech Tagging

This project is a Hidden Markov Model built for part-of-speech tagging using the Viterbi algorithm, completed as part of my Artificial Intelligence course at the University of Toronto.

We had a degree of freedom with this project, and it was formed a competition on maximizing your accuracy. My conventional tagger accomplished a high 93.5% accuracy which was one of the highest in the class.

This project helped me demonstrate my understanding of Hidden Markov Models and how to manipulate them, as well as my comprehension of the powerful Viterbi algorithm and ability to implement and augment it.