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Found 2 papers, 2 papers with code
Data Augmentation for Machine Translation via Dependency Subtree Swapping
We present a generic framework for data augmentation via dependency subtree swapping that is applicable to machine translation.
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.
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