The Oxford Handbook of Language and Sexuality
By Kira Hall, Rusty Barrett. 2018
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Subfields: Linguistics, Social Sciences & Humanities
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Citations in the corpus
- Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models (2021, background): “…are statistically more likely to be discussed in selfchat conversations that start with “hi my name 1Here, we focus only on binary gender, which is clearly an incomplete picture of the range of human self-reference (Butler, 1990; Conrod, 2017; Bjorkman, 2017; Ackerman, 2019; Conrod, 2020).”
- Gender Bias in Machine Translation (2021, background): “Also, they exhibit to what extent speakers of each group are led to think and communicate via binary distinctions,6 as well as underline the relative complexity in carving out a space for lexical innovations that encode nonbinary gender (Hord, 2016; Conrod, 2020).”