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Python NLTK | nltk.tokenize.TabTokenizer()

  • Last Updated : 07 Jun, 2019

With the help of nltk.tokenize.TabTokenizer() method, we are able to extract the tokens from string of words on the basis of tabs between them by using tokenize.TabTokenizer() method.

Syntax : tokenize.TabTokenizer()
Return : Return the tokens of words.

Example #1 :
In this example we can see that by using tokenize.TabTokenizer() method, we are able to extract the tokens from stream to words having tabs between them.




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

Output :

[‘Geeksfor’, ‘Geeks..’, ‘.$$&* \nis’, ‘ for geeks’]



Example #2 :




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

Output :

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

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