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Scaling neural machine translation to 200 languages - Nature

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Scaling neural machine translation to 200 languages - Nature

The development of neural techniques has opened up new avenues for research in machine translation. Today, neural machine translation (NMT) systems can leverage highly multilingual capacities and even perform zero-shot translation, delivering promising results in terms of language coverage and quality. However, scaling quality NMT requires large volumes of parallel bilingual data, which are not equally available for the 7,000+ languages in the world1.

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Scaling neural machine translation to 200 languages - Nature

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Scaling neural machine translation to 200 languages - Nature

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