Multilingual Neural Machine Translation (MNMT) has aroused widespread interest due to its efficiency. An exciting advantage of MNMT models is that they could also translate between unsupervised (zero-shot) language directions.

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Wu et al. (Fri,) studied this question.

synapsesocial.com/papers/6a1bd5fc00ee29383e9d01bd https://doi.org/https://doi.org/10.18653/v1/2021.findings-acl.264

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1Language-aware Interlingua for Multilingual Neural Machine Translation2020 · 35 citations
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Language-aware Interlingua for Multilingual Neural Machine Translation2020 · 35 citations
2Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation2020 · 82 citations
3Visualizing Data using t-SNE2008 · 35,732 citations
4Multilingual neural machine translation with soft decoupled encoding2019 · 42 citations
5Convolutional Sequence to Sequence Learning2017 · 1,340 citations