The module takes a plain-text file on input and generates a "pseudo-text" string, based on Viterbi algorithm.

Python 3.5

#####Python modules:

• NLTK 3.1
• Pykov
• six
• Django 1.9 (for the web-app of course)

##List of NLTK tools used:

• default tokenizer
• default pos-tagger
• bigrams() - generates bigrams from a list, nothing fancy though
• Conditional Frequency Distribution tool ( ConditionalFreqDist() )