mlsanityData to 7 Oct 2026

A Prompt Response to the Demand for Automatic Gender-Neutral Translation

arXiv 2402.06041 ↗First posted 8 Feb 2024cs.CLcited by 12

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Abstract (arXiv)

Gender-neutral translation (GNT) that avoids biased and undue binary assumptions is a pivotal challenge for the creation of more inclusive translation technologies. Advancements for this task in Machine Translation (MT), however, are hindered by the lack of dedicated parallel data, which are necessary to adapt MT systems to satisfy neutral constraints. For such a scenario, large language models offer hitherto unforeseen possibilities, as they come with the distinct advantage of being versatile in various (sub)tasks when provided with explicit instructions. In this paper, we explore this potential to automate GNT by comparing MT with the popular GPT-4 model. Through extensive manual analyses, our study empirically reveals the inherent limitations of current MT systems in generating GNTs and provides valuable insights into the potential and challenges associated with prompting for neutrality.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 24 of its 60 references that are in the map. First posted on arXiv 8 Feb 2024.

Builds on

24 of 60 references.

References · 24

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2022Training language models to follow instructions with human feedbackcited by 15,712
  3. 2022A Survey on In-context Learningcited by 717
  4. 2022Language Models are Multilingual Chain-of-Thought Reasonerscited by 518
  5. 2022In-context Examples Selection for Machine Translationcited by 172
  6. 2022Prompting PaLM for Translation: Assessing Strategies and Performancecited by 144
  7. 2021MultiVerS: Improving scientific claim verification with weak supervision and full-document contextcited by 140
  8. 2023Towards Making the Most of ChatGPT for Machine Translationcited by 138
  9. 2021Gender Bias in Machine Translationcited by 116
  10. 2019Toward Gender-Inclusive Coreference Resolutioncited by 84
  11. 2019On Measuring Gender Bias in Translation of Gender-neutral Pronounscited by 59
  12. 2022Welcome to the Modern World of Pronouns: Identity-Inclusive Natural Language Processing beyond Gendercited by 47
12 more
  1. 2021NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender-Neutral Alternativescited by 46
  2. 2021They, Them, Theirs: Rewriting with Gender-Neutral Englishcited by 44
  3. 2020Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make Itcited by 40
  4. 2023Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challengescited by 22
  5. 2023Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpuscited by 20
  6. 2023What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronounscited by 19
  7. 2022How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronounscited by 16
  8. 2023Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Modelcited by 14
  9. 2023Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizabilitycited by 11
  10. 2023RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translationcited by 9
  11. 2023Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INEScited by 6
  12. 2021Improving Gender Translation Accuracy with Filtered Self-Trainingcited by 5

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Cited by year

Citing papers per year: 2024: 7; 2025: 5.

12 papers.

  1. 2024What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Studycited by 15
  2. 2024The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMscited by 12
  3. 2024Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Modelscited by 7
  4. 2024The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classificationcited by 5
  5. 2024Generating Gender Alternatives in Machine Translationcited by 3
  6. 2025Gender Bias in English-to-Greek Machine Translationcited by 3
  7. 2025Gender-Neutral Machine Translation Strategies in Practicecited by 3
  8. 2025An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluationcited by 2
  9. 2025What Triggers my Model? Contrastive Explanations Inform Gender Choices by Translation Modelscited by 2
  10. 2024WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Rolescited by 1
  11. 2024MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluationcited by 0
  12. 2025Gender-Neutral Rewriting in Italian: Models, Approaches, and Trade-offscited by 0