Random Language Generation & Markov models of language

"Well, that sounds like a good way; but that Saint Louis smarty that thinks he dresses so fine and is
aristocracy! Oh, all right, I'll keep still--because, said she had been taking no
note of time and "sniffing around, the very next morning, he won't think of the
knob, and
open comes the door and fell grateful breath. Tom whistled twice more. Tom saw the state his clothes, sobbing,
snuffling, now, so handsomely engraved and colored
frontispiece--a human figure, stark naked. At that moment, not twenty yards away, and stood by musing a minute. SHE won't
ever have of her child, and ordered him away. So he went
away; but he was
afraid he might possibly be counterfeited to its
injury is an impossible that the raftsmen were all ashamed of their beds, was a
ruin, now, blasted by the body from him with disgust. For frivolity and
jokes and spotted tights were an offense, when the little girl
was wending her way toward the village, and no guards were afforded for it; ten
red tickets equalled a yellow one; for ten yellow
tickets the superintendent gave a very plainly bound Bible (worth forty
cents in those easy times) to the pupils. To his left, back of the performance.
At last he
rose up sighing and departed were they, and then just see 'em look!"

The text above is a sample of what my solution to the Random Language Generation Problem generated. (Assignment 2: ADT Client Applications)

Random Language Generation is Problem 2 of Assignment #2 of the 2011 Spring Quarter CS106B course from Stanford.

You can download the problem specification here here. (Go to page 5 of the downloaded document)

Here is a screenshot of my solution:

You can download my code here.

You can download a runnable .exe file here.

You can download my code here.

You can download my code here.