Web2 jan. 2024 · tokenize(text) [source] Return a tokenized copy of s. Return type List [str] class nltk.tokenize.regexp.WhitespaceTokenizer [source] Bases: RegexpTokenizer Tokenize a string on whitespace (space, tab, newline). In general, users should use the string split () method instead. Web3 aug. 2024 · 问题解决方法:删除该库的.pyc文件,重新运行代码;或者找一个可以运行代码的环境,拷贝替换当前机器的.pyc文件即可。 附:pyc文件介绍: pyc文件,是python编译后的字节码(bytecode)文件。 只要你运行了py文件,python编译器就会自动生成一个对应的pyc字节码文件。 这个pyc字节码文件,经过python解释器,会生成机器码运行(这也是 …
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Web2 jan. 2024 · nltk.tokenize. word_tokenize (text, language = 'english', preserve_line = False) [source] ¶ Return a tokenized copy of text , using NLTK’s recommended word … Web17 feb. 2024 · AttributeError: module 'nltk' has no attribute 'download #1961 Closed 2hands10fingers opened this issue on Feb 17, 2024 · 16 comments 2hands10fingers … genetic causes of hypoglycemia
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Web25 feb. 2024 · One alternative to SpaCy is NLTK. import nltk sentence = "Sorry, I don't know how to fix this error." tokens = nltk.word_tokenize (sentence) print (tokens) > … WebBasic example of NLTK named entity extraction import nltk with open ('sample.txt', 'r') as f: sample = f.read () sentences = nltk.sent_tokenize (sample) tokenized_sentences = [nltk.word_tokenize (sentence) for sentence in sentences] tagged_sentences = [nltk.pos_tag (sentence) for sentence in tokenized_sentences] Web15 feb. 2024 · The most popular method when tokenizing sentences into words is word_tokenize. word_tokenize separate words using spaces and punctuations. from nltk.tokenize import word_tokenize word_tokens = [] for sent in compare_list: print (word_tokenize (sent)) word_tokens.append (word_tokenize (sent)) Outcome: ['https', … genetic causes of kidney stones