%0 Book part %A Nagy Attila %D 2022 %G English %B Magyar Számítógépes Nyelvészeti Konferencia %@ 978-963-306-848-9 %T Syntax-based data augmentation for Hungarian-English machine translation %U http://acta.bibl.u-szeged.hu/75885/1/msznykonf_018_343-356.pdf %X We train Transformer-based neural machine translation models for Hungarian-English and English-Hungarian using the Hunglish2 corpus. Our best models achieve a BLEU score of 40.0 on HungarianEnglish and 33.4 on English-Hungarian. Furthermore, we present results on an ongoing work about syntax-based augmentation for neural machine translation. Both our code and models are publicly available.