An Application of Markov Model
Discover how to apply Markov models for randomized text generation by building initial and transition distributions in C#. Learn to process text corpora, split sentences, and construct immutable probability distributions to replicate Markov chain-based text generation.
In the previous lesson, we implemented the Markov process distribution, which is a distribution over state sequences, where the initial state and each subsequent state is random. There are lots of applications of Markov processes. In this lesson, we will have a look at randomized text generation.
Randomized Text Generation
Randomized text generation using a Markov process has a long history ...