sheffieldnlp / deepQuest

Framework for neural-based Quality Estimation

Home Page:https://sheffieldnlp.github.io/deepQuest/

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DeepQuest -- Framework for neural-based Quality Estimation

Developed at the University of Sheffield, DeepQuest provides state-of-the-art models for multi-level Quality Estimation.

If you use this, please cite:

DeepQuest: a framework for neural-based Quality Estimation. Julia Ive, Frédéric Blain, Lucia Specia (2018).

@article{ive2018deepquest,
  title={DeepQuest: a framework for neural-based Quality Estimation},
  author={Julia Ive and Frédéric Blain and Lucia Specia},
  journal={In the Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics, Sante Fe, New Mexico, USA},
  year={2018}
}

Documentation:

Build Status

More information on https://sheffieldnlp.github.io/deepQuest

Acknowledgements

The development of DeepQuest received funding from the European Association for Machine Translation and the Amazon Academic Research Awards program.

About

Framework for neural-based Quality Estimation

https://sheffieldnlp.github.io/deepQuest/

License:BSD 3-Clause "New" or "Revised" License


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Language:Python 91.2%Language:Jupyter Notebook 7.9%Language:Shell 0.8%Language:Cuda 0.1%Language:C++ 0.0%