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Part-of-Speech tagger in the English language using the Hidden Markov Model, Bayesian Net, and Naive Bayes.
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README.md
bc.test
bc.train
label.py
pos_scorer.py
pos_solver.py

README.md

Part-of-Speech (POS) Tagger for the English Language

Implemented a part-of-speech tagger in the English language using the Hidden Markov Model, Bayesian Net, and Naive Bayes. Then, compared the performance of the Forward-Backward Algorithm and the Viterbi Algorithm. The model resulted in over 91.2% word accuracy with 63.6% sentence accuracy.

Example sentence: How are you doing today? Tagging: How WRB are VBP you PRP doing VBG today NN ? .

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