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A Dataset for Studying Gender Bias in Translation
Posted by Romina Stella, Product Manager, Google Translate Advances on neural machine translation (NMT) have enabled more natural and fluid translations, but they still can reflect the societal biases and stereotypes of the data they're trained on. As such, it is an ongoing goal at Google to develop innovative techniques to reduce gender bias in machine translation, in alignment with our AI Principles. One research area has been using context from surrounding sentences or passages to improve ge...