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ngram
View on CRAN: Click
here
Download and install ngram package within the R console
Install from CRAN:
install.packages("ngram")
Install from Github:
library("remotes")
install_github("cran/ngram") Install by package version:
library("remotes")
install_version("ngram", "3.2.3") Attach the package and use:
library("ngram")
Maintained by
Drew Schmidt
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-06-23
Latest Update: 2023-12-10
Description:
An n-gram is a sequence of n "words" taken, in order, from a
body of text. This is a collection of utilities for creating,
displaying, summarizing, and "babbling" n-grams. The
'tokenization' and "babbling" are handled by very efficient C
code, which can even be built as its own standalone library.
The babbler is a simple Markov chain. The package also offers
a vignette with complete example 'workflows' and information about
the utilities offered in the package.
How to cite:
Drew Schmidt (2014). ngram: Fast n-Gram 'Tokenization'. R package version 3.2.3, https://cran.r-project.org/web/packages/ngram. Accessed 11 Jul. 2026.
Previous versions and publish date:
Other packages that cited ngram R package
View ngram citation profile
Other R packages that ngram depends,
imports, suggests or enhances
Complete documentation for ngram
Functions, R codes and Examples using
the ngram R package
Some associated functions: babble . concatenate . getseed . getters . multiread . ngram-class . ngram-package . ngram-print . ngram . phrasetable . preprocess . rcorpus . splitter . string.summary . tokenize-asweka . wordcount .
Some associated R codes: ngram-package.R . Full ngram package functions and examples
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