File to run: --> bigramProb.py

Minimum Python version to run the file: 3.5

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HOW TO RUN:

--> On the command line interface, type the file name along with the python extension, followed by the input string. Example: bigramProb.py "Input Test String"

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OUTPUT:

--> The command line will display the input sentence probabilities for the 3 model, i.e. Bigram model without smoothing Bigram model with Add one smoothing Bigram model with Good Turing discounting

--> 6 files will be generated upon running the program. 1 intermediate output file and 1 output file for each of the model

=>  The intermediate output files are:

	bigramProb.txt - contains the Bigram, counts and probabilities of the bigrams 
					in the corpus for bigram model without smoothing

	addOneSmoothing.txt - contains the Bigram, counts and probabilities of the 
						bigrams in the corpus for bigram model with 
						Add one smoothing

	goodTuringDiscounting.txt - contains the Bigram, counts and probabilities of 
								the bigrams in the corpus for bigram model 
								with Good Turing Discounting


=>  The output files are:

	bigramProb-OUTPUT.txt - contains the Bigram, their counts & probabilities, and 
							final probability of the sentence for bigram model 
							without smoothing

	addOneSmoothing-OUTPUT.txt - contains the Bigram, their counts & probabilities, 
								and final probability of the sentence for bigram model 
								with Add one smoothing

	goodTuringDiscounting-OUTPUT.txt - contains the Bigram, their counts & probabilities, 
										and final probability of the sentence for 
										bigram model with Good Turing Discounting

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