And if you stick around all the way to the end, we’ll talk about the approach I think does the best job fixing models: domain adaptation.How we use datasets like WinoMT to measure bias in translation systems.Where bias in machine translation comes from.I’m Mukul, and I studied this topic as part of one of my Master’s modules at the University of Cambridge so if you’re looking for a solid introduction to bias in neural machine translation research this is the post for you.
But why does it do this? And how can we fix this? When it comes to assigning gender from a gender-neutral language like Hungarian, it defaults to the stereotypical translations.
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