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wordpiece: R Implementation of Wordpiece Tokenization

Apply 'Wordpiece' (<doi:10.48550/arXiv.1609.08144>) tokenization to input text, given an appropriate vocabulary. The 'BERT' (<doi:10.48550/arXiv.1810.04805>) tokenization conventions are used by default.

Version: 2.1.3
Depends: R (≥ 3.3.0)
Imports: dlr (≥ 1.0.0), fastmatch (≥ 1.1), memoise (≥ 2.0.0), piecemaker (≥ 1.0.0), rlang, stringi (≥ 1.0), wordpiece.data (≥ 1.0.2)
Suggests: covr, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-03-03
DOI: 10.32614/CRAN.package.wordpiece
Author: Jonathan Bratt ORCID iD [aut, cre], Jon Harmon ORCID iD [aut], Bedford Freeman & Worth Pub Grp LLC DBA Macmillan Learning [cph]
Maintainer: Jonathan Bratt <jonathan.bratt at macmillan.com>
BugReports: https://github.com/macmillancontentscience/wordpiece/issues
License: Apache License (≥ 2)
URL: https://github.com/macmillancontentscience/wordpiece
NeedsCompilation: no
Materials: README NEWS
CRAN checks: wordpiece results

Documentation:

Reference manual: wordpiece.pdf
Vignettes: Using wordpiece

Downloads:

Package source: wordpiece_2.1.3.tar.gz
Windows binaries: r-devel: wordpiece_2.1.3.zip, r-release: wordpiece_2.1.3.zip, r-oldrel: wordpiece_2.1.3.zip
macOS binaries: r-release (arm64): wordpiece_2.1.3.tgz, r-oldrel (arm64): wordpiece_2.1.3.tgz, r-release (x86_64): wordpiece_2.1.3.tgz, r-oldrel (x86_64): wordpiece_2.1.3.tgz
Old sources: wordpiece archive

Reverse dependencies:

Reverse suggests: textrecipes

Linking:

Please use the canonical form https://CRAN.R-project.org/package=wordpiece 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.