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Since blogger is struggling a wee bit today, I thought I'd do my post for this class over here at my regular blog. I put quite a bit of work into this post so check it out. :) 

Deep Grammar works by giving each word a value known as a vector. It then uses that value to determine what context you have used the term in and whether or not it needs changing when it analyzes your text. Mugan gives the example of how Deep Grammar might learn that "I feel worried" is closer to the same meaning as "I feel anxious" than it is to "I feel sleepy." It takes three steps to analyze what has been written - firstly, it computes the likelihood that what's written is what you mean to say and then if needs be, it will replicate the sentence or phrase with something more likely to be what you meant and makes a suggestion to edit.

this is interesting but how do they KNOW what the "original copy" is. and I just submitted a random homework assignment as a "book" to IA as a test to see if we could upload a copy of our ebook that we wrote as a class for ENGL 295. Are they just going to store those "books" people randomly upload as well? Who determines what goes in the hardcopy archive?

That is sounds like it could be the headline for The Onion!