Looking forward to it! Congrats on your wedding.

Thanks and congrats on your wedding :)

It's a fun exercise. I've tried a lot of similar stuff before (http://www.kevinohashi.com/17/04/2011/other-24000-available-...). The biggest problem I ran into with n-grams was trying to evaluate what was good in an automated way. Using stuff like Norvig's data to try and weight became futile. Stuff like ededed.com would rank exceptionally high if you weight by frequency. That's a bad name. I tried not counting dupes, giving dupes decreasing value as they increased, etc. Nothing really produced results that weighted nicely when I looked at them. This strategy did find the crap names at the bottom though. The problem was the 75% or so that was left was mixed.

I am curious if you tried to algorithmically sort the lists by any sort of nice/value/brand factor?