Python NLTK | nltk.tokenize.StanfordTokenizer() Last Updated : 12 Jun, 2019 Comments Improve Suggest changes Like Article Like Report 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. Python3 1=1 # import StanfordTokenizer() method from nltk from nltk.tokenize.stanford import StanfordTokenizer # Create a reference variable for Class StanfordTokenizer tk = StanfordTokenizer() # Create a string input gfg = "Geeks f o r Geeks" # Use tokenize method geek = tk.tokenize(gfg) print(geek) Output : ['Geeks', 'f', 'o', 'r', 'Geeks'] Example #2 : Python3 1=1 # import StanfordTokenizer() method from nltk from nltk.tokenize.stanford import StanfordTokenizer # Create a reference variable for Class StanfordTokenizer tk = StanfordTokenizer() # Create a string input gfg = "This is your great author." # Use tokenize method geek = tk.tokenize(gfg) print(geek) Output : ['This', 'is', 'your', 'great', 'author', '.'] Comment More infoAdvertise with us Next Article Python NLTK | nltk.tokenize.StanfordTokenizer() J Jitender_1998 Follow Improve Article Tags : Python Python-nltk Practice Tags : python Similar Reads Python NLTK | nltk.tokenize.TabTokenizer() 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 b 1 min read Python NLTK | nltk.tokenize.SpaceTokenizer() With the help of nltk.tokenize.SpaceTokenizer() method, we are able to extract the tokens from string of words on the basis of space between them by using tokenize.SpaceTokenizer() method. Syntax : tokenize.SpaceTokenizer() Return : Return the tokens of words. Example #1 : In this example we can see 1 min read Python NLTK | nltk.tokenize.SExprTokenizer() With the help of nltk.tokenize.SExprTokenizer() method, we are able to extract the tokens from string of characters or numbers by using tokenize.SExprTokenizer() method. It actually looking for proper brackets to make tokens. 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Syntax : nltk.TweetTokenizer() Return : Return the stream of token Example #1 : In this example whe 1 min read Python NLTK | nltk.WhitespaceTokenizer With the help of nltk.tokenize.WhitespaceTokenizer() method, we are able to extract the tokens from string of words or sentences without whitespaces, new line and tabs by using tokenize.WhitespaceTokenizer() method. Syntax : tokenize.WhitespaceTokenizer() Return : Return the tokens from a string Exa 1 min read Python NLTK | tokenize.WordPunctTokenizer() With the help of nltk.tokenize.WordPunctTokenizer()() method, we are able to extract the tokens from string of words or sentences in the form of Alphabetic and Non-Alphabetic character by using tokenize.WordPunctTokenizer()() method. Syntax : tokenize.WordPunctTokenizer()() Return : Return the token 1 min read Python NLTK | tokenize.regexp() With the help of NLTK tokenize.regexp() module, we are able to extract the tokens from string by using regular expression with RegexpTokenizer() method. Syntax : tokenize.RegexpTokenizer() Return : Return array of tokens using regular expression Example #1 : In this example we are using RegexpTokeni 1 min read Python NLTK | nltk.tokenize.mwe() With the help of NLTK nltk.tokenize.mwe() method, we can tokenize the audio stream into multi_word expression token which helps to bind the tokens with underscore by using nltk.tokenize.mwe() method. Remember it is case sensitive. 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