Python NLTK | nltk.tokenize.LineTokenizer

Last Updated : 12 Jun, 2019
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. Python3 1=1
# 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 : Python3
# 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.']
Comment