mlsanityData to 14 Oct 2026

User-Centric Gender Rewriting

arXiv 2205.02211 ↗First posted 4 May 2022cs.CLcited by 7

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Abstract (arXiv)

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 test set. Our proposed system improves over previous work on the first-person-only version of this task, by 3.05 absolute increase in M2 F0.5. We demonstrate a use case of our gender rewriting system by using it to post-edit the output of a commercial MT system to provide personalized outputs based on the users' grammatical gender preferences. We make our code, data, and models publicly available.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 41 of its 64 references that are in the map. First posted on arXiv 4 May 2022.

Builds on

41 of 64 references.

References · 41

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29 more
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  19. 2021NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternativescited by 46
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  21. 2021They, Them, Theirs: Rewriting with Gender-Neutral Englishcited by 44
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Built on by

Cited by year

Citing papers per year: 2022: 2; 2023: 4; 2024: 0; 2025: 1.

7 papers.

  1. 2023GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLPcited by 37
  2. 2023Dolphin: A Challenging and Diverse Benchmark for Arabic NLGcited by 22
  3. 2023Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpuscited by 20
  4. 2023Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Modelcited by 14
  5. 2025Uncertainty Quantification for Evaluating Machine Translation Biascited by 2
  6. 2022The User-Aware Arabic Gender Rewritercited by 1
  7. 2022The Shared Task on Gender Rewritingcited by 1