Calculate mispellings in previous reflection document and use that metric to purposefully mispell the new document equally often

[carlthome]

i.e. a "Humanizer"

[carlthome]

A good assumption could be that common keyboard misspellings apply (i.e. close keys). There's probably data on line about common misspellings also so a simple synonym lookup with mispelt words could be used.

[nandezer]

I'm aiming to calculate the probabilities of misspelled words per sentences on a text, but I cannot manage to undestand how the the WordNet class works. Any explanation would be very much appreciated.
(I'll leave that part in a coment for now, in the branch interface-WritingStyleAnalyzer-code, class WAnalyzerS.java)

[carlthome]

The WordNet class has nothing to do with this issue.

[carlthome]

Some classification of how bad of a misspelling it is might be a good idea. Test!

[nandezer]

The text is humanized
(the algorithm on what words to select is a bit poor, but it change several words for the most close one, according to the Jaro–Winkler distance algorithm)

[nandezer]

Now if I can not find a word in the long file of correct + misspelled words it switch a random character of the word for one close character of the keyboard.