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My implementation of Peter Norvig's python spell-corrector, found here: http://norvig.com/spell-correct.html.
Focus is on conciseness, not performance.
I provided a .txt file to train it, called holmes.txt; it's all the sherlock holmes books concated together. For better results, download http://norvig.com/big.txt which contains a million words or so..
Note that the training material cannot be a dictionary, as it must help the corrector figure out which words are the most frequently used.