Python nltk语句标记符和特殊字符的奇怪行为

我在对德语文本使用

sent\u标记器时出现了一些奇怪的行为

示例代码：

sent_tokenizer = nltk.data.load('tokenizers/punkt/german.pickle')
for sent in sent_tokenizer.tokenize("Super Qualität. Tolles Teil.")
      print sent

此操作失败，错误如下：

Traceback (most recent call last):
for sent in sent_tokenize("Super Qualität. Tolles Teil."):
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/__init__.py", line 82, in sent_tokenize
    return tokenizer.tokenize(text)
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 1270, in tokenize
    return list(self.sentences_from_text(text, realign_boundaries))
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 1318, in sentences_from_text
    return [text[s:e] for s, e in self.span_tokenize(text, realign_boundaries)]
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 1309, in span_tokenize
    return [(sl.start, sl.stop) for sl in slices]
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 1348, in _realign_boundaries
    for sl1, sl2 in _pair_iter(slices):
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 354, in _pair_iter
    prev = next(it)
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 1324, in _slices_from_text
    if self.text_contains_sentbreak(context):
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 1369, in text_contains_sentbreak
    for t in self._annotate_tokens(self._tokenize_words(text)):
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 1504, in _annotate_second_pass
    for t1, t2 in _pair_iter(tokens):
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 354, in _pair_iter
    prev = next(it)
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 621, in _annotate_first_pass
    for aug_tok in tokens:
  File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/nltk/tokenize/punkt.py", line 586, in _tokenize_words
    for line in plaintext.split('\n'):
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 6: ordinal not in range(128)

鉴于：

  sent_tokenizer = nltk.data.load('tokenizers/punkt/german.pickle')
  for sent in sent_tokenizer.tokenize("Super Qualität des Produktes. Tolles Teil.")
      print sent

非常有效
我在电脑上找到了解决方案

注意：在标记Unicode字符串时，请确保未使用
字符串的编码版本（可能需要对其进行解码）
首先，例如使用s.decode（“utf8”）

所以

就像一个符咒。
你是否缺少函数名末尾的“r”？
对于sent in sent_tokenize（“Super Qualität.Tolles Teil”）：
“@Mr.polywhill只是问题中的一个输入错误：-）。这不是问题所在。问题在于最后一个单词包含非ASCII字符的句子。但我不知道原因。如果你用这种方式，你的“超级品质托尔斯·泰尔”（Super Qualität.Tolles Teil.）是有效的。文本的编码是什么？如果您在
加载中通过编码，则可以工作！
text = "Super Qualität. Tolles Teil."
sent_tokenizer = nltk.data.load('tokenizers/punkt/german.pickle')
for sent in sent_tokenizer.tokenize(text.decode('utf8')):
      print sent