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Python NLTK | nltk.tokenize.LineTokenizer

  • Last Updated : 12 Jun, 2019
Geek Week

With the help of nltk.tokenize.LineTokenizer() method, we are able to extract the tokens from string of sentences in the form of single line by using tokenize.LineTokenizer() method.

Syntax : tokenize.LineTokenizer()
Return : Return the tokens of line from stream of sentences.

Example #1 :
In this example we can see that by using tokenize.LineTokenizer() method, we are able to extract the tokens from stream of sentences into small lines.




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

Output :

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



Example #2 :




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

Output :

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

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