---
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](https://github.com/jvamvas/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

```bibtex
@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}
}
```