Summary

In this chapter, we investigated Markov Chains and the bigram model for text generation. Markov Chains can be used in a variety of applications, from spelling checkers to the confirmation of the authorship of an unknown work. The applications of speech recognition and text and music modeling were discussed as well as an implementation of a bigram text generator that emits interesting phrases. Finally, the issue of legal ownership was touched upon since emitted works of Markov Chains are based solely on the statistical representations of another author's work.