spellcheck.py

import re, collections
import enchant
from enchant.checker import SpellChecker

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 sentence_correct(sentence):
    wordlist = sentence.split()
    correctSentenceList = []
    for word in wordlist:
        chkr = SpellChecker('en_US')
        chkr.set_text(word)
        for err in chkr:
            word = correct(err.word)
        #print word
        correctSentenceList.append(word)
    #print correctSentenceList
    correctSentence = ' '.join(correctSentenceList)
    return correctSentence


if __name__ == "__main__":
    print(sentence_correct("I would like to order mancurian"))