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 ? .