1. Redirect program output
2. Calculate and save p_tij matrix for each word
3. Add a class method to normalize emissionProbs
4. Minor changes to printParameters() - print logProbability
5. Remove division by word_probability in both the calculation of
i. Soft count probability of char - used in emissionProbs calculation
ii. transition probabbility
expected_count_of_state_production_of_letters() and
maximization_part_1()
6. Reduce min_loop_cnt = 1 in expectation_minimization()
7. Reduce min_probability_increment = 0.00000001 from 0.00000000001
in expectation_minimization()
8,printParameters() and showViterbiPath() in expectation_minimization()
when the hmmModel with the maximum probability is known. This is
important because the last element in the history may not be the
highest when min_loop_cnt is greater than 1.
9. Fix bug in both the reading of phoneme file as well as reading of
training file while generating TrainingPhoneme class instance.
10. Add a redirectOutput boolean flag, to enable/disable
redirection of stdout file.