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Python NLTK | nltk.tokenize.SpaceTokenizer()

Python NLTK | nltk.tokenizer.word_tokenize()

Last Updated : 12 Jun, 2019

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With the help of nltk.tokenize.word_tokenize() method, we are able to extract the tokens from string of characters by using tokenize.word_tokenize() method. It actually returns the syllables from a single word. A single word can contain one or two syllables.

Syntax : tokenize.word_tokenize()
Return : Return the list of syllables of words.

Example #1 :
In this example we can see that by using tokenize.word_tokenize() method, we are able to extract the syllables from stream of words or sentences.

   # import SyllableTokenizer() method from nltk 
from nltk import word_tokenize 
     
# Create a reference variable for Class word_tokenize 
tk = SyllableTokenizer() 
     
# Create a string input 
gfg = "Antidisestablishmentarianism"
     
# Use tokenize method 
geek = tk.tokenize(gfg) 
     
print(geek) 
 
  

Output :

[‘An’, ‘ti’, ‘dis’, ‘es’, ‘ta’, ‘blish’, ‘men’, ‘ta’, ‘ria’, ‘nism’]

Example #2 :

   # import SyllableTokenizer() method from nltk 
from nltk.tokenize import word_tokenize 
     
# Create a reference variable for Class word_tokenize 
tk = SyllableTokenizer() 
     
# Create a string input 
gfg = "Gametophyte"
     
# Use tokenize method 
geek = tk.tokenize(gfg) 
     
print(geek) 
 
  

Output :

[‘Ga’, ‘me’, ‘to’, ‘phy’, ‘te’]

Python NLTK | nltk.tokenize.SpaceTokenizer()

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Article Tags :

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Practice Tags :

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