A Tidy Data Model for Natural Language Processing R package cleanNLP version 3.1.0 Provides a set of fast tools for converting a textual corpus into a set of normalized tables. Users may make use of the 'udpipe' back end with no external dependencies, or a Python back ends with 'spaCy' <https://spacy.io>. Exposed annotation tasks include tokenization, part of speech tagging, named entity recognition, and dependency parsing. Software Depends: R (>= 3.5.0) Imports: Matrix (>= 1.2), udpipe, reticulate, stringi, stats, methods Suggests: knitr (>= 1.15), rmarkdown (>= 1.4), testthat (>= 1.0.1), covr (>= 2.2.2) Taylor B. Arnold <tarnold2@richmond.edu> Comprehensive R Archive Network (CRAN) Taylor B. Arnold [aut, cre] LGPL-2 2024-05-20 application/tgz https://CRAN.R-project.org/package=cleanNLP doi:10.32614/CRAN.package.cleanNLP