Web: http://arxiv.org/abs/2205.02211

May 5, 2022, 1:11 a.m. | Bashar Alhafni, Nizar Habash, Houda Bouamor

cs.CL updates on arXiv.org arxiv.org

In this paper, we define the task of gender rewriting in contexts involving
two users (I and/or You) - first and second grammatical persons with
independent grammatical gender preferences. We focus on Arabic, a
gender-marking morphologically rich language. We develop a multi-step system
that combines the positive aspects of both rule-based and neural rewriting
models. Our results successfully demonstrate the viability of this approach on
a recently created corpus for Arabic gender rewriting, achieving 88.42 M2 F0.5
on a blind …

arxiv gender

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