This project implements a robust Part-of-Speech (POS) tagger from scratch using a Hidden Markov Model (HMM) framework. It explores and compares three n-gram models (Unigram, Bigram, and Trigram) to ...
This project parses a small discrete HMM from a text file, reads an observation sequence, runs the Viterbi dynamic programming algorithm (using log-probabilities), and prints the most likely ...
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