This is a course-based project including two models and a final project.

Training Naive Bayes model to classify hotel reviews.

python nblearn.py train-text.txt train-label.txt
python nbclassify.py train-text.txt

note: nblearn.py and nbclassify.py should be in the same folder.

Training Hidden Markov Model to do part-of-speech given training set.

python hmmlearn.py hw5-data-corpus/catalan_corpus_train_tagged.txt
python hmmdecode.py hw5-data-corpus/catalan_corpus_dev_raw.txt

note: hmmlearn.py and hmmdecode.py should be in the same folder.

Calculate the bleu value to evaluate machine translation

python calculatebleu.py path/to/candidate.txt path/to/reference

note: the first parameter is a simple file, but the second parameter is the folder path containing all the reference files. The code is based on this paper BLEU: a Method for Automatic Evaluation of Machine Translation