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ngram  

Fast n-Gram 'Tokenization'
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]
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 07 Nov. 2024.
Previous versions and publish date:
1.0 (2014-06-23 12:31), 1.1 (2014-06-25 07:02), 3.0.0 (2016-05-10 23:35), 3.0.1 (2016-07-13 10:19), 3.0.2 (2017-01-17 19:41), 3.0.3 (2017-03-24 06:37), 3.0.4 (2017-11-21 16:22), 3.2.0 (2021-10-31 17:40), 3.2.1 (2022-03-14 00:10), 3.2.2 (2022-10-31 20:38)
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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