A BAYESIAN APPROACH TO SPELLING CORRECTION. ‘Noisy channels’. In a number of tasks involving natural language, the problem can be viewed as recovering an ‘original signal’ distorted by a `noisy channel’: Speech recognition Spelling correction OCR / handwriting recognition
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They are leaving in about fifteen minuets to go to her house
The study was conducted mainly be John Black.
The design an construction of the system will take more than one year.
Hopefully, all with continue smoothly in my absence.
Can they lave him my messages?
I need to notified the bank of this problem.
He is trying to fine out.
THE TRAINING CORPUS:
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Likelihoods: P(acress|actress) = 1/3 P(acress|acress) = ¼
P(acress|actress) = del[ct,c] / count[ct] = 1/3 (?)