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Train a first-order (i.e., the probability of a tag depends only on the previous tag) HMM part-of-speech tagger. Find the MAP estimate of the parameters of the model using add-1 smoothing.

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expectation_maximization		expectation_maximization
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README.md		README.md
a2.pdf		a2.pdf
em.py		em.py
question1a.py		question1a.py
viterbi.ods		viterbi.ods
viterbi.py		viterbi.py

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COMP550-assignment02

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Train a first-order (i.e., the probability of a tag depends only on the previous tag) HMM part-of-speech tagger. Find the MAP estimate of the parameters of the model using add-1 smoothing.

nlp viterbi-algorithm expectation-maximization pos-tagging

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