Python NLTK | tokenize.WordPunctTokenizer()

With the help of nltk.tokenize.WordPunctTokenizer()() method, we are able to extract the tokens from string of words or sentences in the form of Alphabetic and Non-Alphabetic charecter by using tokenize.WordPunctTokenizer()() method.

Syntax : tokenize.WordPunctTokenizer()()
Return : Return the tokens from a string of alphabetic or non-alphabetic charecter.

Example #1 :
In this example we can see that by using tokenize.WordPunctTokenizer()() method, we are able to extract the tokens from stream of alphabetic or non-alphabetic charecter.

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# import WordPunctTokenizer() method from nltk
from nltk.tokenize import WordPunctTokenizer
     
# Create a reference variable for Class WordPunctTokenizer
tk = WordPunctTokenizer()
     
# Create a string input
gfg = "GeeksforGeeks...$$&* \nis\t for geeks"
     
# Use tokenize method
geek = tk.tokenize(gfg)
     
print(geek)

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Output :

[‘GeeksforGeeks’, ‘…$$&*’, ‘is’, ‘for’, ‘geeks’]

Example #2 :

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# import WordPunctTokenizer() method from nltk
from nltk.tokenize import WordPunctTokenizer
     
# Create a reference variable for Class WordPunctTokenizer
tk = WordPunctTokenizer()
     
# Create a string input
gfg = "The price\t of burger \nin BurgerKing is Rs.36.\n"
     
# Use tokenize method
geek = tk.tokenize(gfg)
     
print(geek)

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Output :

[‘The’, ‘price’, ‘of’, ‘burger’, ‘in’, ‘BurgerKing’, ‘is’, ‘Rs’, ‘.’, ’36’, ‘.’]



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