ProceduralTextGeneration VS MarkovNameGenerator

The whole project is made in Unity and open-source [on github](https://github.com/p-svacha/ProceduralTextGeneration) if anyone wants to have a closer look or try it out themselves.

It is made with Markov Chains. Basically what it does, it takes all existing tracks as an input and calculates the probabilities of which letter comes next depending on what the previous letters were. Then it just outputs some words depending on those probabilities. If you want more details, the code is open source.

Read the original original and then the C# port

About Markov chains, I've bookmarked a nice project

I just implemented in my toolkit a Markov chain Name generator like this in python but I was thinking:

When first posted about my generator, I've been told that there is MarkovNameGenerator by Tw1ddle on GitHub: https://github.com/Tw1ddle/MarkovNameGenerator. Well, thinking about it, I'd still made my own generator, because procedural generation is so much fun :) In the pros of my generator is that it's a tiny js file, however, you'll need to feed it with learning samples, while Tw1ddle's one has a great variety of learning samples pre-gathered and multiple work modes.

I compiled most of the datasets from Wikipedia list-of-* articles over the years. A few were also sent to me by people asking for them to be added.