Tiny preprocessor for Russian text
Toxine: a tiny python NLP library for Russian text preprocessing
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
Alternatively, you can also install Toxine from source of this git repository:
$ git clone https://github.com/fostroll/toxine.git $ 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 >>> nltk.download('punkt')
You can find them in the directory
examples of our Toxine github
Toxine is released under the BSD License. See the LICENSE file for more details.
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