Markov Text Synthesis

Can't get enough of an author? Do you wish that they wrote more? Are you tired of reading that book for the 27th time? Meet Twi-Moon. 

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Twi-Moon was created using a Markov Chain process on the text of multiple books. By creating a database of probabilities of future words based on past queues, it is possible to generate text that sounds almost like it was written by a human. All it is missing is proper grammar, punctuation, and a plot! 

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One is easily able to vary parameters such as the queue length and the type of queue in order to produce various levels of "creativity" by the program. Simply add text files of your most robotic author, and it will surely produce equal or lesser works!