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Spelling Corrector

Spelling correction with Naive Bayes approach

  1. Get a word from users input

  2. Search word in the collection or Bag of words

  3. If word is found, just return the same word otherwise

    A. Generate a list of close and probable words by

    i.   single letter deletion
    
    ii.  single letter insertion
    
    iii. single letter replacement
    
    iv.  swap of two letters 
    

    B. Get frequency of each probable word from the bag of words

    C. Return most frequent probable word as spell correct word

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Spelling correction with Naive Bayes approach

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