Markov information source

A Markov information source is like a dictionary that remembers the order of words in a sentence. When it's given a new sentence, it looks at the words and guesses what comes next in the sentence. It works by following a "chain" of related words. For example, if the sentence is "I like to go", the Markov information source might remember that the words "like" and "to" often come together and guess that the next word is "go". In this way, it can help predict what comes next in a sentence or conversation.