Women, Men, and Language: A Sociolinguistic Account of Sex Differences in Language

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Getting Gender Right in Neural Machine Translation (2019, background): “syntax (Coates, 2015).”
Style Transfer Through Back-Translation (2018, methodology): “Our work is also closely-related to a problem of paraphrase generation (Madnani and Dorr, 2010; Dong et al., 2017), including methods relying on (phrase-based) back-translation (Ganitkevitch et al., 2011; Ganitkevitch and Callison-Burch, 2014). More recently, Mallinson et al. (2017) and Wieting et a”
Mitigating Gender Bias in Machine Translation with Target Gender Annotations (2020, unknown): “use language (Coates, 1987; Butler, 1990; FuertesOlivera, 2007; Rickford, 2016).”
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology (2019, background): “Men and women are mentioned at different rates in text (Coates, 1987).”
Behavior Online: Does Anonymous Computer Communication Reduce Gender Inequality? (2002, background): “Differences have been observed in discursive dominance (Coates, 1984; Holmes, 1995; Meyers, Brashers, Winston, & Grob, 1997), productivity (Wood, 1987), nonverbal behavior (Hall, 1984), and socioemotional and task behavior (Anderson & Blanchard, 1982; Eagly, 1987).”