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Project Creation: Part One

Explore how to build a character-based text generator using Markov chains. Understand creating lookup tables of character sequences, calculating frequencies, and converting them into probabilities to generate dynamic text based on training data.

Introduction to the project

In this chapter, we are going to build a text generator using Markov chains. We are going to build a character-based model. Let’s suppose we have a string the monke. We need to find the character that is best suited after the character e in the word monke based on our training corpus. In other words, we are going to generate the ...

We will save the ...