A high-performance Python package for calculating Word Error Rate (WER), powered by Rust.
Project description
⚡Lightning fast Word Error Rate Calculations
What is WERx?
WERx is a high-performance Python package for calculating Word Error Rate (WER), built with Rust for unmatched speed, memory efficiency, and stability. WERx delivers accurate results with exceptional performance, making it ideal for large-scale evaluation tasks.
🚀 Why Use WERx?
⚡ Blazing Fast: Rust-powered core delivers outstanding performance, optimized for large datasets
🧩 Robust: Designed to handle edge cases gracefully, including empty strings and mismatched sequences
📐 Accurate: Carefully tested to ensure consistent and reliable results
🛡️ Production-Ready: Minimal dependencies, memory-efficient, and engineered for stability
⚙️ Installation
You can install WERx either with 'uv' or 'pip'.
Using uv (recommended):
uv pip install werx
Using pip:
pip install werx
✨ Usage
Import the WERx package
Python Code:
import werx
Examples:
1. Single sentence comparison
Python Code:
wer = werx.wer('i love cold pizza', 'i love pizza')
print(wer)
Results Output:
0.25
2. Corpus level Word Error Rate Calculation
Python Code:
ref = ['i love cold pizza','the sugar bear character was popular']
hyp = ['i love pizza','the sugar bare character was popular']
wer = werx.wer(ref, hyp)
print(wer)
Results Output:
0.2
📄 License
This project is licensed under the Apache License 2.0.
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