R
robust_MT_evaluation
deep-spin/robust_MT_evaluation
Repository for "BLEU Meets COMET: Combining Lexical and Neural Metrics Towards Robust Machine Translation Evaluation", accepted at EAMT 2023.
★21stars
Jupyter Notebook
Apache-2.0
Updated: 2mo ago
📋 Project at a Glance
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What's this?A eamt/interpretability tool in the Security & Governance category, built with Jupyter Notebook, open-source
Who made it?Maintained by deep-spin team, 21⭐ on GitHub, #389 out of 413 in Security & Governance
Why does it exist?With the growing demand for eamt and interpretability in Security & Governance, deep-spin created robust_MT_evaluation as a streamlined solution.
What can it do?Key use cases: machine-translation, machine-translation-metrics, quality-estimation
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/deep-spin/robust_MT_evaluation
🔗 github.com/deep-spin/robust_MT_evaluation
Topics
eamtinterpretabilitymachine-translationmachine-translation-metricsquality-estimationrobustness