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Publikation

Self-Supervised Neural Machine Translation

Cristina España-Bonet; Josef van Genabith; Dana Ruiter
In: 57th Annual Meeting of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL-2019), 57th, July 28 - August 2, Florence, Italy, ACL, 2019.

Zusammenfassung

We present a simple new method where an emergent NMT system is used for simultaneously selecting training data and learning internal NMT representations. This is done in a self-supervised way without parallel data, in such a way that both tasks enhance each other during training. The method is language independent, introduces no additional hyper-parameters, and achieves BLEU scores of 29.21 (en2fr) and 27.36 (fr2en) on newstest2014 using English and FrenchWikipedia data for training.

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