How does Grammatical Gender Affect Noun Representations in Gender-Marking Languages?
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Abstract (arXiv)
Many natural languages assign grammatical gender also to inanimate nouns in the language. In such languages, words that relate to the gender-marked nouns are inflected to agree with the noun's gender. We show that this affects the word representations of inanimate nouns, resulting in nouns with the same gender being closer to each other than nouns with different gender. While "embedding debiasing" methods fail to remove the effect, we demonstrate that a careful application of methods that neutralize grammatical gender signals from the words' context when training word embeddings is effective in removing it. Fixing the grammatical gender bias yields a positive effect on the quality of the resulting word embeddings, both in monolingual and cross-lingual settings. We note that successfully removing gender signals, while achievable, is not trivial to do and that a language-specific morphological analyzer, together with careful usage of it, are essential for achieving good results.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Oct 2019.
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Citing papers per year: 2021: 1; 2022: 5; 2023: 2; 2024: 2; 2025: 0; 2026: 4.
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- 2022Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translationcited by 23
- 2021Evaluating Gender Bias in Hindi-English Machine Translationcited by 19
- 2022Naturalistic Causal Probing for Morpho-Syntaxcited by 19
- 2023Fairness in Language Models Beyond English: Gaps and Challengescited by 16
- 2022Analyzing Gender Representation in Multilingual Modelscited by 10
- 2022Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signalscited by 5
- 2024Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corporacited by 5
- 2023Cross-lingual Transfer Can Worsen Bias in Sentiment Analysiscited by 3
- 2022A methodology to characterize bias and harmful stereotypes in natural language processing in Latin Americacited by 2
- 2026Understanding or Memorizing? A Case Study of German Definite Articles in Language Modelscited by 1
- 2024Revisiting The Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poemscited by 0
- 2026MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generationcited by 0
- 2026Estimating Grammatical Gender Directions in Contextual Embeddings under Controlled and Natural Contexts29 Jun 2026
- 2026Is She Even Relevant? When BERT Ignores Explicit Gender Cues8 May 2026
- 2026MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation20 Apr 2026
- 2026Understanding or Memorizing? A Case Study of German Definite Articles in Language Models14 Jan 2026
- 2024Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora19 Jun 2024
- 2024Revisiting The Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems18 Mar 2024
- 2023Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis22 May 2023
- 2023Fairness in Language Models Beyond English: Gaps and Challenges24 Feb 2023
- 2022A methodology to characterize bias and harmful stereotypes in natural language processing in Latin America14 Jul 2022
- 2022Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals3 Jun 2022
- 2022Naturalistic Causal Probing for Morpho-Syntax14 May 2022
- 2022Analyzing Gender Representation in Multilingual Models20 Apr 2022
- 2022Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translationcited by 23
- 2021Evaluating Gender Bias in Hindi-English Machine Translationcited by 19
- 2022Naturalistic Causal Probing for Morpho-Syntaxcited by 19
- 2023Fairness in Language Models Beyond English: Gaps and Challengescited by 16
- 2022Analyzing Gender Representation in Multilingual Modelscited by 10
- 2022Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signalscited by 5
- 2024Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corporacited by 5
- 2023Cross-lingual Transfer Can Worsen Bias in Sentiment Analysiscited by 3
- 2022A methodology to characterize bias and harmful stereotypes in natural language processing in Latin Americacited by 2
- 2026Understanding or Memorizing? A Case Study of German Definite Articles in Language Modelscited by 1
- 2024Revisiting The Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poemscited by 0
- 2026MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generationcited by 0
12 most cited of 14 All 14 (JSON)
- 2026Estimating Grammatical Gender Directions in Contextual Embeddings under Controlled and Natural Contexts29 Jun 2026
- 2026Is She Even Relevant? When BERT Ignores Explicit Gender Cues8 May 2026
- 2026MORPHOGEN: A Multilingual Benchmark for Evaluating Gender-Aware Morphological Generation20 Apr 2026
- 2026Understanding or Memorizing? A Case Study of German Definite Articles in Language Models14 Jan 2026
- 2024Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora19 Jun 2024
- 2024Revisiting The Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems18 Mar 2024
- 2023Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis22 May 2023
- 2023Fairness in Language Models Beyond English: Gaps and Challenges24 Feb 2023
- 2022A methodology to characterize bias and harmful stereotypes in natural language processing in Latin America14 Jul 2022
- 2022Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals3 Jun 2022
- 2022Naturalistic Causal Probing for Morpho-Syntax14 May 2022
- 2022Analyzing Gender Representation in Multilingual Models20 Apr 2022
12 newest of 14 All 14 (JSON)