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20162023
most citedTraining Multilingual Machine Translation by Alternately Freezing Language-Specific Encoders-Decoders

8 citations · 35 across the 14 of their papers we have counts for

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Showing 2018Show all

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cs.CL2018★ 8 cited

(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation

Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa

Universal language representation is the holy grail in machine translation (MT). Thanks to the new neural MT approach, it seems that there are good perspectives towards this goal.…