Spelling Correction and the Noisy Channel Real-Word Spelling Correction.

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Presentation transcript:

Spelling Correction and the Noisy Channel Real-Word Spelling Correction

Dan Jurafsky Real-word spelling errors …leaving in about fifteen minuets to go to her house. The design an construction of the system… Can they lave him my messages? The study was conducted mainly be John Black % of spelling errors are real words Kukich

Dan Jurafsky Solving real-world spelling errors For each word in sentence Generate candidate set the word itself all single-letter edits that are English words words that are homophones Choose best candidates Noisy channel model Task-specific classifier 3

Dan Jurafsky Noisy channel for real-word spell correction Given a sentence w 1,w 2,w 3,…,w n Generate a set of candidates for each word w i Candidate(w 1 ) = {w 1, w’ 1, w’’ 1, w’’’ 1,…} Candidate(w 2 ) = {w 2, w’ 2, w’’ 2, w’’’ 2,…} Candidate(w n ) = {w n, w’ n, w’’ n, w’’’ n,…} Choose the sequence W that maximizes P(W)

Dan Jurafsky Noisy channel for real-word spell correction 5

Dan Jurafsky Noisy channel for real-word spell correction 6

Dan Jurafsky Simplification: One error per sentence Out of all possible sentences with one word replaced w 1, w’’ 2,w 3,w 4 two off thew w 1,w 2,w’ 3,w 4 two of the w’’’ 1,w 2,w 3,w 4 too of thew … Choose the sequence W that maximizes P(W)

Dan Jurafsky Where to get the probabilities Language model Unigram Bigram Etc Channel model Same as for non-word spelling correction Plus need probability for no error, P(w|w) 8

Dan Jurafsky Probability of no error What is the channel probability for a correctly typed word? P(“the”|“the”) Obviously this depends on the application.90 (1 error in 10 words).95 (1 error in 20 words).99 (1 error in 100 words).995 (1 error in 200 words) 9

Dan Jurafsky Peter Norvig’s “thew” example 10 xwx|wP(x|w)P(w)10 9 P(x|w)P(w) thewtheew|e thew thewthawe|a thewthrewh|hr thewthweew|we

Spelling Correction and the Noisy Channel Real-Word Spelling Correction