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We train Transformer-based neural machine translation models forHungarian-English and English-Hungarian using the Hunglish2 corpus. Our bestmodels achieve a BLEU score of 40.0 on HungarianEnglish and 33.4 onEnglish-Hungarian. Furthermore, we present results on an ongoing work aboutsyntax-based augmentation for neural machine translation. Both our code andmodels are publicly available.

Syntax-based data augmentation for Hungarian-English machine translation