Papers with DCL method

1 papers
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation (2020.coling-main)

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Challenge: Recent work on neural machine translation (NMT) has demonstrated impressive performance improvements and became the de-facto standard.
Approach: They propose a dynamic curriculum learning method to reorder training samples in training using a Transformer-based system.
Outcome: The proposed method outperforms baselines on three low-resource machine translation benchmarks and different sized data of WMT’16 En-De.

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