Visible or influential? Language reforms and gender (in)equality
By Angelica Mucchi-Faina. 2005
Subfields: 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 Natural Language Processing
- Noah A. Smith
- Luke S. Zettlemoyer
- Gabriel Stanovsky
- Percy Liang
- Graham Neubig
- Jonathan Berant
- Yejin Choi
- Hannaneh Hajishirzi
Citations in the corpus
- Evaluating Gender Bias in Machine Translation (2019, background): “In addition, in the many languages which associate between biological and grammatical gender (e.g., most Romance, Germanic, Slavic, and Semitic languages; Craig, 1986; Mucchi-Faina, 2005; Corbett, 2007), the gender of an animate object can be identified via morphological markers.”
- Can Gender-Fair Language Reduce Gender Stereotyping and Discrimination? (2016, background): “Accordingly, a woman introduced as professoressa ‘female professor’ was perceived as less persuasive than a man or than a woman referred to with the masculine form professore (Mucchi-Faina, 2005).”
- Reducing women’s lack of fit with leadership positions? Effects of the wording of job advertisements (2015, background): “Analyses of job advertisements have shown that vacant positions are still often announced with masculine forms (e.g., for Italian: Mucchi-Faina, 2005; German: for Bundesministerium für Frauen und Öffentlichen Dienst, 2009; Hellinger, 2004; Lujansky-Lammer, 2006), although this is prohibited by law…”