Hidden Markov Model Part of Speech Tagger using the Viterbi algorithm

Requirments: Python 3.x

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Training:

Invoked with ./train_set.py -f <path to training file>

Other arguments can be seen through ./train_set.py --help

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Viterbi:

Invoked with ./viterbi.py

With no arguments it assumes there is a file in the invoking directory called 'WSJ_24.words'

You can specify a sentence file with the '-s' argument as in ./viterbi.py -s <path_to_sentence_file> All sentence files are assumed to be a word on each line and sentences seperated by a new line

Other arguments can be seen through ./viterbi.py --help

Note: This program expects two json files in the same directory: trainingDataPOS.json trainingDataWORD.json