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spellcheck.py
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spellcheck.py
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import re, collections
import sys
from bitmap import Bitmap
from hashlib import md5
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('corpus.txt').read()))
alphabet = 'abcdefghijklmnopqrstuvwxyz'
def edits1(word):
s = [(word[:i], word[i:]) for i in range(len(word) + 1)]
deletes = [a + b[1:] for a, b in s if b]
transposes = [a + b[1] + b[0] + b[2:] for a, b in s if len(b)>1]
replaces = [a + c + b[1:] for a, b in s for c in alphabet if b]
inserts = [a + c + b for a, b in s for c in alphabet]
return set(deletes + transposes + replaces + inserts)
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=NWORDS.get)
def correct_top(word, n):
candidates = known([word]) or known(edits1(word)) or known_edits2(word) or [word]
s = sorted(candidates, key=NWORDS.get, reverse=True)
return s[0], s[:n]
def makeHashes(word) :
# convert 32 hexdigits to list of 6 hash keys
hex32 = md5(word).hexdigest()
hashes = []
for i in range(0,30,5) :
hashes.append(int(hex32[i:i+5],16))
return hashes
def loadBitmap(file) :
# generate bitmap from lexicon file (one word per line)
words = open(file).readlines()
words = map(lambda x: x.strip(), words) # no newlines please
bmap = Bitmap(2**20)
for word in words :
hashes = makeHashes(word)
for hash in hashes :
bmap.setBit(hash)
return bmap
bmap = loadBitmap("spell.words")
def checkWord(bmap, word) :
# return True if word in lexicon
hashes = makeHashes(word)
for hash in hashes :
if not bmap.getBit(hash): return False
return True
def sentence_correct(sentence):
wordlist = sentence.split()
correctSentenceList = []
for word in wordlist:
if checkWord(bmap,word) is False:
word = correct(word)
correctSentenceList.append(word)
#print correctSentenceList
correctSentence = ' '.join(correctSentenceList)
return correctSentence
if __name__ == "__main__":
print(sentence_correct("I wuld lik to ordr manchrian"))