Industry | 2019.01.22
He Said, She Said: Addressing Gender in Neural Machine Translation
Google is concerned it might be mistakenly assuming genders in machine translation; initial effort to reduce gender bias only the first step in dealing with similar challenges in neural machine translation.
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