Last night I coded up a basic Lita plugin for ingesting chat messages into Markov chains and generating sentences from those chains upon request; the source is available on GitHub and RubyGems. It turned out this was almost trivial to accomplish.
How trivial was it?
The Markov chain itself is a really simple concept. The formal definition concerns the probabilities of transitioning between various states, but the real-world implementation—in this case the wonderfully-named
marky_markov gem—is even simpler. It builds a hash mapping a key (a word or array of words) to an array of strings that can follow that key. The frequency/probability of different subsequent words is represented simply as the frequency of strings in that value array. (Note: these are all a arrays and not sets, so words/lists-of-words can and do repeat.)
Let’s say the bot has the following entry in its key-value store for the frequency of subsequent words when I say “hello”:
"hello" => ["world", "planet", "planet", "world"]
We can see that world and planet have a 50/50 chance of following hello. However, let’s say I say “hello planet” on more time, the entry then becomes:
"hello" => ["world", "planet", "planet", "world", "world"]
World now has a three-fifths chance of following “hello” when we ask the generator to create a sentence. It’s not space-efficient by any means, but it is delightfully simple!