The project was done using Pytorch. The project deals with creating a Parts of Speech Tagger for English and Norwegian. We start off by creating a simple Hidden Markov Model that is used in tandem with the Viterbi-Trellis Algorithm. We then move onto using Deep Learning models such as LSTM's and Bidrectional LSTMS combined with Conditional Random Fields to improve sequence predictions. Both word and character level features are incroporated.