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Paper detail

Syntax-based data augmentation for Hungarian-English machine translation

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.

preprint2022arXivOpen access
Attila NagyPatrick NanysBalázs Frey KonrádBence BialJudit Ács
Computation and LanguageMachine Learning
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Attila NagyPatrick NanysBalázs Frey KonrádBence BialJudit Ács

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