gec-metrics: A Unified Library for Grammatical Error Correction Evaluation
Abstract
AbstractWe introduce gec-metrics, a library for using and developing grammatical error correction (GEC) evaluation metrics through a unified interface. Our library enables fair system comparisons by ensuring that everyone conducts evaluations using a consistent implementation. Moreover, it is designed with a strong focus on API usage, making it highly extensible. It also includes meta-evaluation functionalities and provides analysis and visualization scripts, contributing to developing GEC evaluation metrics. Our code is released under the MIT license1 and is also distributed as an installable package2. The video is available at YouTube3.1GitHub: https://github.com/gotutiyan/gec-metrics2PyPi: https://pypi.org/project/gec-metrics/3Video: https://youtu.be/cor6dkN6EfI