The Shared Task on Gender Rewriting

TL;DR

This paper reports on a shared task focused on gender rewriting in Arabic, aiming to generate gender-aligned sentence variants by changing gendered words, involving multiple international teams.

Contribution

It introduces a shared task for gender rewriting in Arabic, providing a benchmark for future research in gender-sensitive NLP for morphologically rich languages.

Findings

Five teams participated from four countries.

The task highlighted challenges in gender rewriting for Arabic.

Results establish a baseline for future work.

Abstract

In this paper, we present the results and findings of the Shared Task on Gender Rewriting, which was organized as part of the Seventh Arabic Natural Language Processing Workshop. The task of gender rewriting refers to generating alternatives of a given sentence to match different target user gender contexts (e.g., female speaker with a male listener, a male speaker with a male listener, etc.). This requires changing the grammatical gender (masculine or feminine) of certain words referring to the users. In this task, we focus on Arabic, a gender-marking morphologically rich language. A total of five teams from four countries participated in the shared task.