Implementing the Viterbi Algorithm in an HMM to predict the POS tag of a given word.
- Using the BERP Corpus as the training data.
- Implemented a baseline model which basically classified a word as a tag that had the highest occurrence count for that word in the training data.
More info on the implementation here.
python src/main.py