min*_*nks 4 python nltk lemmatization
所以我在文本文件中有一个单词列表.我想对它们进行词形还原以删除具有相同含义但处于不同时态的词.喜欢尝试,试过等.当我这样做时,我不断收到类似TypeError的错误:不可用的类型:'list'
results=[]
with open('/Users/xyz/Documents/something5.txt', 'r') as f:
for line in f:
results.append(line.strip().split())
lemma= WordNetLemmatizer()
lem=[]
for r in results:
lem.append(lemma.lemmatize(r))
with open("lem.txt","w") as t:
for item in lem:
print>>t, item
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如何将已经令牌的词语变形?
该方法WordNetLemmatizer.lemmatize可能需要一个字符串,但您传递的是字符串列表.这给你TypeError例外.
结果line.split()是一个字符串列表,您将其作为列表附加到results列表中.
你想用 results.extend(line.strip().split())
results = []
with open('/Users/xyz/Documents/something5.txt', 'r') as f:
for line in f:
results.extend(line.strip().split())
lemma = WordNetLemmatizer()
lem = map(lemma.lemmatize, results)
with open("lem.txt", "w") as t:
for item in lem:
print >> t, item
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或没有中间结果列表重构
def words(fname):
with open(fname, 'r') as document:
for line in document:
for word in line.strip().split():
yield word
lemma = WordNetLemmatizer()
lem = map(lemma.lemmatize, words('/Users/xyz/Documents/something5.txt'))
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