Python NLTK | nltk.tokenize.StanfordTokenizer()
With the help of nltk.tokenize.StanfordTokenizer()
method, we are able to extract the tokens from string of characters or numbers by using tokenize.StanfordTokenizer()
method. It follows stanford standard for generating tokens.
Syntax : tokenize.StanfordTokenizer()
Return : Return the tokens from a string of characters or numbers.
Example #1 :
In this example we can see that by using tokenize.SExprTokenizer()
method, we are able to extract the tokens from stream of characters or numbers using stanford standard.
from nltk.tokenize.stanford import StanfordTokenizer
tk = StanfordTokenizer()
gfg = "Geeks f o r Geeks"
geek = tk.tokenize(gfg)
print (geek)
|
Output :
[‘Geeks’, ‘f’, ‘o’, ‘r’, ‘Geeks’]
Example #2 :
from nltk.tokenize.stanford import StanfordTokenizer
tk = StanfordTokenizer()
gfg = "This is your great author."
geek = tk.tokenize(gfg)
print (geek)
|
Output :
[‘This’, ‘is’, ‘your’, ‘great’, ‘author’, ‘.’]
Last Updated :
12 Jun, 2019
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