We intend to implement bigram HMM POS tagger and calculate the Viterbi Matrix for the sentence: "learning changes throughly" using the following emission probabilities:
P(learning|V) = 0.003
P(changes|V) = 0.004
P(throughly|Adv) = 0.002
P(learning|N) = 0.001
P(changes|N) = 0.003
python viterbi.py