Papers with zero-shot systems

1 papers
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation (C18-1)

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Challenge: Recent studies have shown that multilingual NMT models can handle more than one translation direction with a single system.
Approach: They propose a multilingual neural machine translation model that can handle more than one translation direction with a single system.
Outcome: The proposed model performs well in low-resource settings against bilingual systems.

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