A library for evaluate text difficulty in French.
Project description
Here is TextComplexityComputer.
TextComplexityComputer is a state-of-the-art library for assessing complexity of a text in French. Use it to assess the complexity of a text in French. it is compatible with the latest version of Scikit-Learn and Python >= 3.8.
Getting Started:
from text_complexity_computer import TextComplexityComputer
tcc = TextComplexityComputer()
print(tcc.get_metrics_scores("Alibaba et les 40 voleurs."))
print(tcc.compute("Alibaba et les 40 voleurs."))
Installation
- Install the stable version of TextComplexityComputer:
pip install text_complexity_computer
- Install the latest development version of TextComplexityComputer:
pip install -U git+https://github.com/GRAAL-Research/tcc.git@dev
Cite
Use the following to cite this package and our article;
@article{Primpied2022Quantifying,
author = {Primpied, Vincent and Beauchemin, David and Khoury, Richard},
journal = {Proceedings of the Canadian Conference on Artificial Intelligence},
year = {2022},
month = {may 27},
note = {https://caiac.pubpub.org/pub/iaeeogod},
publisher = {Canadian Artificial Intelligence Association (CAIAC)},
title = {Quantifying {French} {Document} {Complexity} },
}
Contributing to TextComplexityComputer
We welcome user input, whether it is regarding bugs found in the library or feature propositions ! Make sure to have a look at our contributing guidelines for more details on this matter.
License
TextComplexityComputer is LGPLv3 licensed, as found in the LICENSE file.
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