Data Augmentation Strategies

Low-resource machine translation is a challenging problem, especially when the source lan- guage is morphologically complex. We describe a simple procedure for constructing glosses, or mappings between complex, inflected source-language …...

AbstractReproducible benchmarks are crucial in driving progress of machine translation research. However, existing machine translation benchmarks have been mostly limited to high-resource or well-represented languages. Despite an increasing interest in …...

AbstractRecent work on multilingual AMR-to-text generation has exclusively focused on data augmentation strategies that utilize silver AMR. However, this assumes a high quality of generated AMRs, potentially limiting the transferability …...

AbstractPersuasion techniques detection in news in a multi-lingual setup is non-trivial and comes with challenges, including little training data. Our system successfully leverages (back-)translation as data augmentation strategies with multi-lingual …...