nltk sentence tokenizer，将新行视为句子边界

Question

我正在使用 nltk 的 PunkSentenceTokenizer 将文本标记为一组句子。但是，分词器似乎不会将新段落或新行视为新句子。

>>> from nltk.tokenize.punkt import PunktSentenceTokenizer
>>> tokenizer = PunktSentenceTokenizer()
>>> tokenizer.tokenize('Sentence 1 \n Sentence 2. Sentence 3.')
['Sentence 1 \n Sentence 2.', 'Sentence 3.']
>>> tokenizer.span_tokenize('Sentence 1 \n Sentence 2. Sentence 3.')
[(0, 24), (25, 36)]

我希望它也将新行视为句子的边界。无论如何要这样做（我也需要保存偏移量）？

Answer 1

好吧，我遇到了同样的问题，我所做的是将文本拆分为“\n”。像这样：

# in my case, when it had '\n', I called it a new paragraph, 
# like a collection of sentences
paragraphs = [p for p in text.split('\n') if p]
# and here, sent_tokenize each one of the paragraphs
for paragraph in paragraphs:
    sentences = tokenizer.tokenize(paragraph)

这是我在生产中使用的简化版本，但总体思路是相同的。而且，对于葡萄牙语的评论和文档字符串，我们在 'educational purposes' 中针对巴西观众

完成了

def paragraphs(self):
    if self._paragraphs is not None:
        for p in  self._paragraphs:
            yield p
    else:
        raw_paras = self.raw_text.split(self.paragraph_delimiter)
        gen = (Paragraph(self, p) for p in raw_paras if p)
        self._paragraphs = []
        for p in gen:
            self._paragraphs.append(p)
            yield p

完整代码https://gitorious.org/restjor/restjor/source/4d684ea4f18f66b097be1e10cc8814736888dfb4:restjor/decomposition.py#Lundefined

nltk sentence tokenizer，将新行视为句子边界

nltk sentence tokenizer, consider new lines as sentence boundary

python

nlp

nltk

tokenize