Syntax-based data augmentation for Hungarian-English machine translation

Code

• github.com/attilanagy234/syntax-augmentation-nmt
  OfficialIn paperpytorch★ 7
• github.com/attilanagy234/treeswap
  pytorch★ 7

Abstract

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.

Tasks

Reproductions