POS Tagging simulator using HMM method with Viterbi algorithm. Hidden Markov Model is one of the method to find the best sequence from a hidden path. This method could be use as a POS Tagger. Combined with Viterbi algorithm to reduce time complexity. Use Laplacian Smoothing to rise the accuracy.
To run the program on your terminal:
javac HMMViterbi.java
java HMMViterbi- The training data should be put on a folder named Training. It could be more than one file.
- The testing data should be put on a folder named Testing2. It could be more than one file.
- The testing data should include the real tag for computing the accuracy.
- The output will be put on a folder named Output