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toxine 1.0.52
RuMor: Russian Morphology project
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
Installation
pip
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 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.
Setup
Toxine uses NLTK with punkt data downloaded. If you didn't do it yet,
start Python interpreter and execute:
>>> import nltk
>>> nltk.download('punkt')
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.
Usage
Text Preprocessor
Wrapper for tokenized Wikipedia
brat annotations support
Examples
You can find them in the directory examples of our Toxine github
repository.
License
Toxine is released under the BSD License. See the
LICENSE file for
more details.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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