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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "cleanNLP" in publications use:'
type: software
license: LGPL-2.0-only
title: 'cleanNLP: A Tidy Data Model for Natural Language Processing'
version: 3.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.cleanNLP
abstract: 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.
authors:
- family-names: Arnold
  given-names: Taylor B.
  email: tarnold2@richmond.edu
- email: tarnold2@richmond.edu
preferred-citation:
  type: article
  title: A Tidy Data Model for Natural Language Processing using cleanNLP
  authors:
  - family-names: Arnold
    given-names: Taylor
  journal: The R Journal
  year: '2017'
  volume: '9'
  issue: '2'
  url: https://journal.r-project.org/archive/2017/RJ-2017-035/index.html
  start: '1'
  end: '20'
repository: https://taylor-arnold.r-universe.dev
repository-code: https://github.com/statsmaths/cleanNLP
commit: 0e6bf7d8f618b62a875a305fe0a038c6564b4641
url: https://statsmaths.github.io/cleanNLP/
contact:
- family-names: Arnold
  given-names: Taylor B.
  email: tarnold2@richmond.edu
- email: tarnold2@richmond.edu