我从文档中提取了句子列表。我正在预处理这个句子列表,使其更加明智。我遇到了以下问题
我有像Java is a prog rammng lan guage. C is a gen eral purpose la nguage.
这样的句子
我想用查找词典来纠正这些句子?删除不需要的空格。
最终输出应该是Java is a programmng language. C is a general purpose language.
我需要一些帮助来寻找这些方法。如何解决上述问题?
我想用python代码解决上面的问题。谢谢。
这是一个适用于您的示例的简单脚本。显然你需要更大的有效词汇。此外,你可能想要一个elif
分支,如果加入下一个单词无法修复非单词,则会回顾上一个单词。
from string import punctuation
word_list = "big list of words including a programming language is general purpose"
valid_words = set(word_list.split())
bad = "Java is a prog ramming lan guage. C is a gen eral purpose la nguage."
words = bad.split()
out_words = []
i = 0
while i < len(words):
word = words[i]
if word not in valid_words and i+1 < len(words):
next_word = words[i+1]
joined = word + next_word
if joined.strip(punctuation) in valid_words:
word = joined
i += 1
out_words.append(word)
i += 1
good = " ".join(out_words)
print(good)
如果你想要拼写和正确解析单词,你需要拼写检查。这是一个拼写检查器,通过导入“re”命名空间,使用完整的文章here ...
import re
from collections import Counter
def words(text): return re.findall(r'\w+', text.lower())
WORDS = Counter(words(open('big.txt').read()))
def P(word, N=sum(WORDS.values())):
"Probability of `word`."
return WORDS[word] / N
def correction(word):
"Most probable spelling correction for `word`."
return max(candidates(word), key=P)
def candidates(word):
"Generate possible spelling corrections for `word`."
return (known([word]) or known(edits1(word)) or known(edits2(word)) or [word])
def known(words):
"The subset of `words` that appear in the dictionary of WORDS."
return set(w for w in words if w in WORDS)
def edits1(word):
"All edits that are one edit away from `word`."
letters = 'abcdefghijklmnopqrstuvwxyz'
splits = [(word[:i], word[i:]) for i in range(len(word) + 1)]
deletes = [L + R[1:] for L, R in splits if R]
transposes = [L + R[1] + R[0] + R[2:] for L, R in splits if len(R)>1]
replaces = [L + c + R[1:] for L, R in splits if R for c in letters]
inserts = [L + c + R for L, R in splits for c in letters]
return set(deletes + transposes + replaces + inserts)
def edits2(word):
"All edits that are two edits away from `word`."
return (e2 for e1 in edits1(word) for e2 in edits1(e1))`
它不仅可以修复分词,还可以删除,转置和插入不规则的单词以“纠正”它们。您可以将“big.txt”文件替换为您在Counter构造函数中使用的文档,并希望一切都可以在那里工作。