jumbleWords-methods: Produce jumbled words

In koRpus: Text Analysis with Emphasis on POS Tagging, Readability, and Lexical Diversity

Description

This method either takes a character vector or objects inheriting class kRp.text (i.e., text tokenized by koRpus), and jumbles the words. This usually means that the first and last letter of each word is left intact, while all characters inbetween are being randomized.

Usage

jumbleWords(words, ...)

## S4 method for signature 'kRp.text'
jumbleWords(words, min.length = 3, intact = c(start = 1, end = 1))

## S4 method for signature 'character'
jumbleWords(words, min.length = 3, intact = c(start = 1, end = 1))

Arguments

words	Either a character vector or an object inheriting from class kRp.text.
...	Additional options, currently unused.
min.length	An integer value, defining the minimum word length. Words with less characters will not be changed. Grapheme clusters are counted as one.
intact	A named vector with the two integer values named start and stop. These define how many characters of each relevant words will be left unchanged at its start and its end, respectively.

Value

Depending on the class of words, either a character vector or an object of class kRp.text with the added feature diff.

Examples

# code is only run when the english language package can be loaded
if(require("koRpus.lang.en", quietly = TRUE)){
  sample_file <- file.path(
    path.package("koRpus"), "examples", "corpus", "Reality_Winner.txt"
  )
  tokenized.obj <- tokenize(
    txt=sample_file,
    lang="en"
  )
  tokenized.obj <- jumbleWords(tokenized.obj)
  pasteText(tokenized.obj)

  # diff stats are now part of the object
  hasFeature(tokenized.obj)
  diffText(tokenized.obj)
} else {}

koRpus documentation built on May 18, 2021, 1:13 a.m.