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metadata
title: fastChrF
emoji: ⚡
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 6.15.1
app_file: app.py
short_description: Fast sentence-level ChrF for MBR decoding
python_version: '3.12'
fastChrF Space
Interactive demo for fastChrF: fast sentence-level ChrF computation for Minimum Bayes Risk decoding.
Modes
- Default (pairwise): Computes ChrF between each hypothesis and each reference. Output shape:
(num_hypotheses, num_references). - Aggregate: Computes a streamlined aggregate ChrF score per hypothesis across all references. Output shape:
(num_hypotheses,).
Enter one hypothesis or reference per line. Advanced options mirror the Python API (char_order, beta, remove_whitespace, eps_smoothing).
Citation
@misc{vamvas-sennrich-2024-linear,
title={Linear-time Minimum Bayes Risk Decoding with Reference Aggregation},
author={Jannis Vamvas and Rico Sennrich},
year={2024},
eprint={2402.04251},
archivePrefix={arXiv},
primaryClass={cs.CL}
}