1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 1 cited
Data Augmentation for Machine Translation via Dependency Subtree Swapping
Attila Nagy, Dorina Petra Lakatos, Botond Barta +2
We present a generic framework for data augmentation via dependency subtree swapping that is applicable to machine translation. We extract corresponding subtrees from the dependenc…
cs.CL2022
Syntax-based data augmentation for Hungarian-English machine translation
Attila Nagy, Patrick Nanys, Balázs Frey Konrád +2
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…