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most citedContinual Learning in Multilingual NMT via Language-Specific Embeddings

2 citations · 4 across the 3 of their papers we have counts for

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cs.CL2022★ 2 cited

Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model

Yeskendir Koishekenov, Alexandre Berard, Vassilina Nikoulina

The recently released NLLB-200 is a set of multilingual Neural Machine Translation models that cover 202 languages. The largest model is based on a Mixture of Experts architecture…