This is a Markov Chain implemented in Common Lisp. It seeds itself on a provided corpus and spits out text of a given length.
Compile the file. (I just do this within in SLIME using CCL.)
Do (run corpus length) where corpus is a text file to feed the Markov Chain and length is the length of the returned text.
corpus-options defines three corpuses I have included with this project. They are: My Man Jeeves, Pride and Prejudice, and some OANC spoken conversations. I do not own these works.
My Man Jeeves as the corpus, 100 words:
a fellow like that?
Just out of sight just as Voules came up the gangway.
"Halloa, George!" he said. "Get my letter?"
"I think you are mistaking me for my brother," said George. "My name is
Alfred Lattaker."
"What's that?"
"I am George's brother Alfred. Are you my Uncle Augustus?"
The stout man stared at him.
"You're very like George," he said.
"So everyone tells me."
"And you're really Alfred?"
"I am."
"I'd like to talk business with you for a curious
*
By Jove, you know, till I started to tramp the place with this infernal
kid, I never had a notion it would have
Pride and Prejudice as the corpus, 100 words:
dare pronounce herself to
be; though, when the letters were read, Elizabeth felt that she must wait
for her own visit there to know the rest.
Jane had already written a few lines on Wednesday to say
that he had arrived in safety, and to give me away; and if we
were beyond the hour, we could not be kept without difficulty; for the
curiosity excited by his marrying me, it would not be
near so much like a ball."
Miss Bingley made no answer; but Lydia, with perfect
indifference, continued to express her delight, and repeat all her
former professions of regard. Jane was not deceived, but she was
affected;
OANC spoken conversations, 100 words:
Because if you touch it, it made it drip.
all kinds of things like the earth rotated.
In fact, I was just really good to me, I'm sure to anyone else it was like, uh, living in France during the Nazi occupation, what it was about three or four weeks later, I was notified that I had sisters so that I can understand maybe girls a little bit too much.
As you can tell, some of the results are kind of hilarious.
Poor performance. Not instantaneous is what I am saying. Reading the file takes a good chunk of the time. Probably depends on how good of a computer you have/compiler.
Jeeves runs the best I would wager, OANC second, and Pride and Prejudice worst. The longer the corpus the slower it is going to be. Just the nature of the beast by raw file size.
The spacing of the returned text is...bizarre sometimes. I tried to clean up input as much as possible when parsing it, but there will be oddities.