贝叶斯实现拼写检查器
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import re,collections
# 把语料中的单词全部抽取出来,转成小写,并且取出单词中间的特殊符号 def words(text): return re.findall(‘[a-z]+‘,text.lower()) def train(features): model = collections.defaultdict(lambda:1) # 词频的默认出现数为1 for f in features: model[f] += 1 return model NWORDS = train(words(open(big.txt‘).read())) apphabet = ‘abcdefghijklmnopqrstuvwxyz‘
# 返回所有与单词w编辑距离为1的集合 def editsl(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 apphabet] + # alteration
[word[0:i]+c+word[i:] for i in range(n+1) for c in apphabet]) # insertion
# 返回所有与单词w编辑距离为2的集合
# 在这些编辑距离小于2的词中间,只把那些正确的词作为候选词
def edits2(word):
return set(e2 for e1 in editsl(word) for e2 in edits1(el) if e2 in NWORDS)
def known_edits2(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] # 编辑距离为0的优先,>1,>2
return max(candidates,key=lambda w:NWORDS[w])
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