/ciseau

:rocket: Tokenize and clean strings in Python

Primary LanguagePythonMIT LicenseMIT

Ciseau

Word and sentence tokenization in Python.

PyPI version Build Status Jonathan Raiman, author

License

Usage

Use this package to split up strings according to sentence and word boundaries. For instance, to simply break up strings into tokens:

tokenize("Joey was a great sailor.")
#=> ["Joey ", "was ", "a ", "great ", "sailor ", "."]

To also detect sentence boundaries:

sent_tokenize("Cat sat mat. Cat's named Cool.", keep_whitespace=True)
#=> [["Cat ", "sat ", "mat", ". "], ["Cat ", "'s ", "named ", "Cool", "."]]

sent_tokenize can keep the whitespace as-is with the flags keep_whitespace=True and normalize_ascii=False.

Installation

pip3 install ciseau

Testing

Run nose2.

If you find this project useful for your work or research, here's how you can cite it:

@misc{RaimanCiseau2017,
  author = {Raiman, Jonathan},
  title = {Ciseau},
  year = {2017},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/jonathanraiman/ciseau}},
  commit = {fe88b9d7f131b88bcdd2ff361df60b6d1cc64c04}
}