Cambridge Researchers Tackle Neural Machine Translation’s Gender Bias
A research paper published in April 2020 explores how to reduce gender bias in neural machine translation (NMT) using transfer learning and fine-tuning. Continue reading
Tag: transfer learning
Inside Google’s Custom Neural Machine Translation—AutoML Translate
Francesco Bombassei, Senior Technical Program Manager at Google, presented at SlatorCon and discussed AutoML Translate, how ever accelerating computing power impacts development, and the human... Continue reading
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