Gender Across Languages
By M. Hellinger. 2004
77 citations recorded by the source corpus.
1. Aims and scope of “Gender across languages” 2. Gender classes as a special case of noun classes 2.1 Classifier languages 2.2 Noun class languages 3. Categories of gender 3.1 Grammatical gender 3.2 Lexical gender 3.3 Referential gender 3.4 “False generics”: Generic masculines and male generics 3.5 Social gender 4. Gender-related structures 4.1 Word-formation 4.2 Agreement 4.3 Pronominalization 4.4 Coordination 5. Gender-related messages 5.1 Address terms 5.2 Idiomatic expressions and proverbs 5.3 Female and male discourse 6. Language change and language reform 7. Conclusion Notes References
Subfields: Gender Studies, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Gender Studies
In Natural Language Processing
- Matteo Negri
- Yang Trista Cao
- Marco Turchi
- Hal Daumé Iii
- Marco Gaido
- Beatrice Savoldi
- Arturs Stafanovivcs
- Marcis Pinnis
Citations in the corpus
- Toward Gender-Inclusive Coreference Resolution (2019, background): “For instance, a common example is the German term “Mädchen”, meaning “girl” [e.g., Hellinger and Motschenbacher 2015].”
- Gender Bias in Machine Translation (2021, background): “To understand gender bias, we have to grasp not only the structure of different languages, but also how linguistic expressions are connoted, deployed, and perceived (Hellinger and Motschenbacher, 2015).”
- Mitigating Gender Bias in Machine Translation with Target Gender Annotations (2020, background): “This is, however, a heuristic and not a rule (see Hellinger and Motschenbacher (2015) for counterexamples).”