most citedEqualizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques

45 citations · 45 across the 1 of their papers we have counts for

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cs.CL2019★ 45 cited

Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques

Joel Escudé Font, Marta R. Costa-jussà

Neural machine translation has significantly pushed forward the quality of the field. However, there are remaining big issues with the output translations and one of them is fairne…