我打算将段落分成多个句子。本段包含编号的句子,如下所示:Hello, How are you? Hope everything is good. I'm fine. 1.Hello World. 2.Good Morning John. Product is good but the managemnt is very lazy very bad. I dont like company service. They are giving fake promises. Next time i will not take any product. For Amazon service i will give 5 star dey give awsome service. But for sony company i will give 0 star... 1. Doesn't support all file formats when you connect USB 2. No other apps than YouTube and Netflix (requires subscription) 3. Screen mirroring is not up to the mark ( getting connected after once in 10 attempts 4. Good screen quality 5. Audio is very good 6. Bulky compared to other similar range 7. Price bit high due to brand value 8. its 1/4 smart TV. Not a full smart TV 9. Bad customer support 10. Remote control is very horrible to operate. it might be good for non smart TV 11. See the exchange value on amazon itself. LG gets 2ooo/- more than TV's 12. Also it was mentioned like 1+1 year warranty. But either support or Amazon support aren't clear about it. 13. Product information isn't up to 30% at least.There no installation. While I contact costumer Care.我用下面的代码来分解句子:import nltktokenizer = nltk.tokenize.punkt.PunktSentenceTokenizer()fp = open("/Users/Desktop/sample.txt", encoding='utf-8')data = fp.read()with open("/Users/Desktop/output.txt", 'a', encoding='utf-8' ) as f: f.write(''.join(tokenizer.tokenize(data))) f.close()此代码基于句号拆分段落。但是编号的句子正在产生问题。由于这些数字后面有句号,所以它以不正确的方式分裂。有人可以建议我吗?
2 回答
梦里花落0921
TA贡献1772条经验 获得超6个赞
你需要sent_tokenize:
from nltk.tokenize import sent_tokenize
text = "Hello, How are you? Hope everything is good. I'm fine. 1.Hello World. 2.Good Morning John."
print(sent_tokenize(text))
输出
['Hello, How are you?', 'Hope everything is good.', "I'm fine.", '1.Hello World.', '2.Good Morning John.']
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