Аударма эталондары
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ID: translationbenchmarks
Related Papers
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
AbstractKnowledge distillation (KD) is commonly used to construct synthetic data for training non-autoregressive translation (NAT) models. However, there exists a discrepancy on low-frequency words between the distilled and the original …...
Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training
AbstractMost existing methods on robust neural machine translation (NMT) construct adversarial examples by injecting noise into authentic examples and indiscriminately exploit two types of examples. They require the model to …...