Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques

no code implementations • WS 2019 • Joel Escud{\'e} Font, Marta R. Costa-juss{\`a}

We take advantage of the fact that word embeddings are used in neural machine translation to propose a method to equalize gender biases in neural machine translation using these representations.

Fairness Machine Translation +2