Ok, I’ve got a lot of things to show you, but unfortunately, not muchtime to prepare the data. Here is another comparison between LSA and my method (NC-ISC), for the neighbors of the word « 200″. I know it’s not really a word, but at least it is easier to sort out the good neighbors from the bad ones with this kind of word, right ?
So here is the list, on the left the neighbors found by my method, on the right those found by LSI (or more precisely my faster implementation of LSI). I’ve highlighted the undisputable (I’ve been pretty liberal though) numbers/quantities in green, and the undisputable unrelated words in red. Related but unsure words where left unhighlighted. You can dispute me on any word however if you think I was wrong, my judgment is far worst than my system’s.

For LSI, the first completely unrelated word appears at 165, versus 427 for NC-ISC. In the last 100 neighbors, 11 are good candidates for LSI (some of them are really borderline,you judge) , versus 32 for NC-ISC.

These neighbors were obtained with the exact same method than in my previous post. No internal knowledge of the words composition was used (that would be cheating for such a problem).

By the way, thanks to my method, I’ve learned a new word : umpteen. It seems that LSI didn’t find it as a potential neighbor for « 200″.