SpellChecker

abosalim mohammed.abosalim at gmail.com
Wed May 20 05:05:16 EDT 2009


I used this code.It works fine,but on word not whole text.I want to
extend this code to correct
text file not only a word,but i don't know.If you have any help,please
inform me.

This is the code:

import re, collections

def words(text): return re.findall('[a-z]+', text.lower())

def train(features):
    model = collections.defaultdict(lambda: 1)
    for f in features:
        model[f] += 1
    return model

NWORDS = train(words(file('big.txt').read()))

alphabet = 'abcdefghijklmnopqrstuvwxyz'

def edits1(word):
    n = len(word)
    return set([word[0:i]+word[i+1:] for i in range(n)]
+                     # deletion
               [word[0:i]+word[i+1]+word[i]+word[i+2:] for i in range
(n-1)] + # transposition
               [word[0:i]+c+word[i+1:] for i in range(n) for c in
alphabet] + # alteration
               [word[0:i]+c+word[i:] for i in range(n+1) for c in
alphabet])  # insertion

def known_edits2(word):
    return set(e2 for e1 in edits1(word) for e2 in edits1(e1) if e2 in
NWORDS)

def known(words): return set(w for w in words if w in NWORDS)

def correct(word):
    candidates = known([word]) or known(edits1(word)) or known_edits2
(word) or [word]
    return max(candidates, key=lambda w: NWORDS[w])



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