对于tagdOutput中的句子：TypeError：“ NoneType”对象不可迭代

Question

句子或标记语料库之间发生问题 但我无法解决代码 这是句子代码

def loadUntagged(fileName):
    text = open(fileName).read()
    sentences = list(tokenize.blankline(text))
    retSentences = []
    for sentence in sentences:
        newSentence = []
        sentence =list(tokenize.whitespace(sentence))
        #print (sentence)
        for token in sentence:
            newSentence.append(token)
            retSentences.append(newSentence)

def loadCorpus(corpus):
    text = open(corpus).read()
    sentences =list(tokenize.blankline(self))
    newSentences = []
    for sentence in sentences:
        tokens =list(tokenize.whitespace(sentence))

这是TaggedOutput代码：

untagged =pd.read_csv('test.csv','UTF-8','r')
print ('Tagging...')
taggedOutput = doTag(tagger,untagged)
tagged = pd.read_csv("Tagged_bangla_hmm.csv",'w',encoding="utf-8", header=None, delimiter = r'\s+',skip_blank_lines=False, engine='python')
for sentence in taggedOutput :
    for word, tag in  enumerate(tagged):
        tagged.to_csv( str(word)  + str(tag)  )
        print(tagged)
        print('\n\n')
        print ('Finished Tagging')