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CRAN: Package tokenizers

tokenizers: Fast, Consistent Tokenization of Natural Language Text

Convert natural language text into tokens. Includes tokenizers for shingled n-grams, skip n-grams, words, word stems, sentences, paragraphs, characters, shingled characters, lines, Penn Treebank, regular expressions, as well as functions for counting characters, words, and sentences, and a function for splitting longer texts into separate documents, each with the same number of words. The tokenizers have a consistent interface, and the package is built on the 'stringi' and 'Rcpp' packages for fast yet correct tokenization in 'UTF-8'.

Version: 0.3.0 Depends: R (≥ 3.1.3) Imports: stringi (≥ 1.0.1), Rcpp (≥ 0.12.3), SnowballC (≥ 0.5.1) LinkingTo: Rcpp Suggests: covr, knitr, rmarkdown, stopwords (≥ 0.9.0), testthat Published: 2022-12-22 DOI: 10.32614/CRAN.package.tokenizers Author: Lincoln Mullen [aut, cre], Os Keyes [ctb], Dmitriy Selivanov [ctb], Jeffrey Arnold [ctb], Kenneth Benoit [ctb] Maintainer: Lincoln Mullen <lincoln at lincolnmullen.com> BugReports: https://github.com/ropensci/tokenizers/issues License: MIT + file LICENSE URL: https://docs.ropensci.org/tokenizers/, https://github.com/ropensci/tokenizers NeedsCompilation: yes Citation: tokenizers citation info Materials: README NEWS In views: NaturalLanguageProcessing CRAN checks: tokenizers results Documentation: Downloads: Reverse dependencies: Reverse imports: blocking, covfefe, deeplr, DeepPINCS, DramaAnalysis, pdfsearch, proustr, rslp, textrecipes, tidypmc, tidytext, ttgsea, wactor, WhatsR Reverse suggests: edgarWebR, torchdatasets Reverse enhances: quanteda Linking:

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