tokenizers: Split texts into tokens
In textreuse: Detect Text Reuse and Document Similarity

Description Usage Arguments Details Value Examples

These functions each turn a text into tokens. The tokenize_ngrams functions returns shingled n-grams.

tokenize_words(string, lowercase = TRUE)

tokenize_sentences(string, lowercase = TRUE)

tokenize_ngrams(string, lowercase = TRUE, n = 3)

tokenize_skip_ngrams(string, lowercase = TRUE, n = 3, k = 1)

`string`	A character vector of length 1 to be tokenized.
`lowercase`	Should the tokens be made lower case?
`n`	For n-gram tokenizers, the number of words in each n-gram.
`k`	For the skip n-gram tokenizer, the maximum skip distance between words. The function will compute all skip n-grams between `0` and `k`.

These functions will strip all punctuation.

A character vector containing the tokens.

dylan <- "How many roads must a man walk down? The answer is blowin' in the wind."
tokenize_words(dylan)
tokenize_sentences(dylan)
tokenize_ngrams(dylan, n = 2)
tokenize_skip_ngrams(dylan, n = 3, k = 2)

 [1] "how"    "many"   "roads"  "must"   "a"      "man"    "walk"   "down"  
 [9] "the"    "answer" "is"     "blowin" "in"     "the"    "wind"  
[1] "how many roads must a man walk down" "the answer is blowin in the wind"   
 [1] "how many"   "many roads" "roads must" "must a"     "a man"     
 [6] "man walk"   "walk down"  "down the"   "the answer" "answer is" 
[11] "is blowin"  "blowin in"  "in the"     "the wind"  
 [1] "how must walk"      "many a down"        "roads man the"     
 [4] "must walk answer"   "a down is"          "man the blowin"    
 [7] "walk answer in"     "down is the"        "the blowin wind"   
[10] "how roads a"        "many must man"      "roads a walk"      
[13] "must man down"      "a walk the"         "man down answer"   
[16] "walk the is"        "down answer blowin" "the is in"         
[19] "answer blowin the"  "is in wind"         "how many roads"    
[22] "many roads must"    "roads must a"       "must a man"        
[25] "a man walk"         "man walk down"      "walk down the"     
[28] "down the answer"    "the answer is"      "answer is blowin"  
[31] "is blowin in"       "blowin in the"      "in the wind"