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cs.CL2024
Can the Variation of Model Weights be used as a Criterion for Self-Paced Multilingual NMT?
Àlex R. Atrio, Alexis Allemann, Ljiljana Dolamic +1
Many-to-one neural machine translation systems improve over one-to-one systems when training data is scarce. In this paper, we design and test a novel algorithm for selecting the l…
cs.CL2024
Optimizing the Training Schedule of Multilingual NMT using Reinforcement Learning
Alexis Allemann, Àlex R. Atrio, Andrei Popescu-Belis
Multilingual NMT is a viable solution for translating low-resource languages (LRLs) when data from high-resource languages (HRLs) from the same language family is available. Howeve…