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Scaling neural machine translation to 200 languages

Linguistics and Languages

Scaling neural machine translation to 200 languages

M. R. Costa-jussà, J. Cross, et al.

Explore the groundbreaking No Language Left Behind (NLLB-200), a revolutionary multilingual model developed by esteemed researchers, including Marta R. Costa-jussà and James Cross, that improves translation quality by a staggering 44% across 200 languages using innovative data mining and architectural advancements. This game-changing research is available for non-commercial use.... show more
Citation Metrics
Citations
79
Influential Citations
20
Reference Count
106
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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