In Glender/gibberlite: a base-r package to detect gibberish text in sentences

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

gibberlite

cat(
    badger::badge_devel("Glender/gibberlite", "purple"),
    badger::badge_github_actions("rossellhayes/ipa"),
    badger::badge_codecov("rcannood/princurve"),
    badger::badge_code_size("Glender/gibberlite")
)

:arrow_double_down: Installation

You can install the development version of gibberlite from GitHub with:

# install.packages("devtools")
devtools::install_github("Glender/gibberlite")

Overview

With the gibberlite package you can sssess whether a sentence contains gibberish words. A Markov chain inspects the sequence of vowels and consonents to estimate whether a sentence consists of natural words. Therefore, words like 'asdfg' and 'dfrgfh' are considered unnatural and are classified as gibberish. The accuracy of the classification improves when a sentence contains more characters.

:book: Usage

library(gibberlite)
# create vector with character data
text <- c(
 "Personally I'm always ready to learn, although I do not always like being taught.",
 "asdfg",
 "Computer",
 "dfhdfghd",
 "I love to walk."
)

# assess if text is gibber
is_gibberish(text)

:speech_balloon: Looking for something more fancy?

The gibberlite packages implements a very simple model. If you want a state-of-the-art solution, see the gibber package: https://github.com/Glender/gibber

Glender/gibberlite documentation built on Dec. 17, 2021, 10:21 p.m.