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ngram: Fast n-Gram 'Tokenization'

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.

Version: 3.2.3
Depends: R (≥ 3.0.0)
Imports: methods
Published: 2023-12-10
DOI: 10.32614/CRAN.package.ngram
Author: Drew Schmidt [aut, cre], Christian Heckendorf [aut]
Maintainer: Drew Schmidt <wrathematics at gmail.com>
BugReports: https://github.com/wrathematics/ngram/issues
License: BSD 2-clause License + file LICENSE
URL: https://github.com/wrathematics/ngram
NeedsCompilation: yes
Citation: ngram citation info
Materials: README ChangeLog
CRAN checks: ngram results

Documentation:

Reference manual: ngram.pdf
Vignettes: Guide to the ngram Package

Downloads:

Package source: ngram_3.2.3.tar.gz
Windows binaries: r-devel: ngram_3.2.3.zip, r-release: ngram_3.2.3.zip, r-oldrel: ngram_3.2.3.zip
macOS binaries: r-release (arm64): ngram_3.2.3.tgz, r-oldrel (arm64): ngram_3.2.3.tgz, r-release (x86_64): ngram_3.2.3.tgz, r-oldrel (x86_64): ngram_3.2.3.tgz
Old sources: ngram archive

Reverse dependencies:

Reverse imports: discoverableresearch, MadanTextNetwork, revtools, topics, ulex
Reverse suggests: daiR

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ngram to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.