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Tiny preprocessor for Russian text

Project description

RuMor: Russian Morphology project

Toxine: a tiny python NLP library for Russian text preprocessing

PyPI Version Python Version License: BSD-3

A part of RuMor project. It contains pipeline for preprocessing and tokenization texts in Russian. Also, it includes preliminary entity tagging. Highlights are:

  • Extracting emojis, emails, dates, phones, urls, html/xml fragments etc.
  • Tagging/removing tokens with unallowed symbols
  • Normalizing punctuation
  • Tokenization (via NLTK)
  • Russan Wikipedia tokenizer
  • brat annotations support



Toxine supports Python 3.5 or later. To install it via pip, run:

$ pip install toxine

If you currently have a previous version of Toxine installed, use:

$ pip install toxine -U

From Source

Alternatively, you can also install Toxine from source of this git repository:

$ git clone
$ cd toxine
$ pip install -e .

This gives you access to examples that are not included to the PyPI package.


Toxine uses NLTK with punkt data downloaded. If you didn't do it yet, start Python interpreter and execute:

>>> import nltk

NB: If you plan to use methods for brat annotations renewal, you need to install the python-Levenshtein library. See more on the brat annotations support page.


Text Preprocessor

Wrapper for tokenized Wikipedia

brat annotations support


You can find them in the directory examples of our Toxine github repository.


Toxine is released under the BSD License. See the LICENSE file for more details.

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