Zero-Shot Machine Translation
2 papers with code • 0 benchmarks • 1 datasets
Translate text or speech from one language to another without supervision.
Benchmarks
These leaderboards are used to track progress in Zero-Shot Machine Translation
GATITOS
Latest papers
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language Generation
We present the results of extensive experiments on twelve NLG tasks, showing that, without using any labeled downstream pairs for training, ZeroNLG generates high-quality and believable outputs and significantly outperforms existing zero-shot methods.
Consistency by Agreement in Zero-shot Neural Machine Translation
google-research/language
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NAACL 2019
Generalization and reliability of multilingual translation often highly depend on the amount of available parallel data for each language pair of interest.
