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
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
Reverse suggests:	daiR

Linking:

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