Rough Book

random musings of just another computer nerd

Tag: markov chain

Weary, solitary, flight

Dreary dancing under the fire-born moods
Has fallen cold light footfall;
But the indolence of wine
The Incorruptible Rose of Houlihan.

With white birds on to be, and his animal blood astir
And glittered in dew,
The changing eyes blind
With lightning, but the bone.

The heavy flooded waters in a red wine
And a mind
That nobleness made my heart knows;
And one common level place for you night,
May know.

Beauty that you sigh with mingled sorrow before the fallen still;
He bade all the passing on a sudden flaming West;
Desolate winds are safer in the calling my beloved, I sing the sky,
No learning from the warring in half hidden
Under the flash of the wings
That the wind and moon overhead
Has taken a rocking cradle.

In all the reeds grew to and the Boar without sound;
He changed to shoot,
And all things came the blue depth of wine
The Incorruptible Rose.

And moth-like stars and kind one,
And what could find
Nothing to kiss
Weary and solitary and I fly

–Lightning and Lodestone

Sulekha: A text-based Markov-chain generator

I’ve finished work on the projects page. Sometimes I’ll have a passing interest in something that leads me to write some code for fun. Yes, you read right. I like to code… for fun. Anyway, this is something I’ve done ever since I started programming way back in 1991. I’ve written a bunch of cool little programs over the years. Most of these have been throwaway scripts that I wrote just to “see what would happen”. A few of these, however, have had some serious effort put into them. I’ve decided to showcase these on my site. Hopefully people will find them interesting :).

The project I’ve just uploaded is called Sulekha, and is a text-based Markov-chain generator. You can check it out here. The comments for this journal entry are mirrored on the Sulekha project page, so anything you post here will be visible there (and vice versa). Let me know what you think. Oh, and it’s interactive so you can generate your own text-based Markov-chains too!

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