Markov Text Generator

This Python script generates pseudo-random text using a Markov chain model.
The Markov chain encodes the statistical properties of a source text with a user-specified n-gram length.
More details on the algorithm can be found on the following page:
http://www.cs.princeton.edu/courses/archive/spr05/cos126/assignments/markov.html

The script can be used with two kind of sources:

1. A text file from which the Markov chain is built.
2. A text file with a pre-generated Markov chain from a previous run.

The generated text can be printed on the console or written to a file, while the Markov chain
can be exported to a file and used later (the source file is no longer needed).

Usage examples:

generate_markov_text -s input_text.txt -l 7 -n 1000 -o output_file.txt -w markov.txt  

Generates 1000 letters using a 7 letter n-gram and writes the Markov chain to "markov.txt".

generate_markov_text -r markov.txt -n 1000 -c  

Reads a pre-generated Markov chain from a file and prints 1000 letters on the console.