Hi guys or hi folks? benchmarking gender-neutral machine translation with the gente corpus
A Piergentili, B Savoldi, D Fucci, M Negri… - ar** machine translation practitioners prioritize model improvements
Machine learning (ML) models can fail in unexpected ways in the real world, but not all
model failures are equal. With finite time and resources, ML practitioners are forced to …
model failures are equal. With finite time and resources, ML practitioners are forced to …
What about em? how commercial machine translation fails to handle (neo-) pronouns
A Lauscher, D Nozza, A Crowley, E Miltersen… - ar**
societal biases, with a specific emphasis on gender bias. Within the realm of MT, biases …
societal biases, with a specific emphasis on gender bias. Within the realm of MT, biases …
Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead
We introduce new large labeled datasets on bias in 3 languages and show in experiments
that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets …
that bias exists in all 10 datasets of 5 languages evaluated, including benchmark datasets …