Don’t Miss Out on the Multilingual Holistic Bias Shared Task!

The Multilingual Holistic Bias task is now open for submissions on Dynabench.
This task focuses on evaluating machine translation systems’ ability to preserve gender in translations across multiple languages.
The main objectives of this challenge include understanding special gender challenges in different language families and examining the performance of gender translation in low-resource, morphologically rich languages.
By participating in this shared task, you will contribute to the first-of-its-kind challenge and help advance the field of NLP.
The organizers encourage you to submit your models by April 15th and engage in the shared task at the 5th Workshop on Gender Bias in Natural Language Processing.
Don’t miss this opportunity to showcase your expertise and contribute to a more inclusive NLP community!