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2021.iwslt-1.25.pdf
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🔗 Source: aclanthology.org
📊 Size: 1.3 MB
👤 Author: Lei Zhou ; Liang Ding ; Kevin Duh ; Shinji Watanabe ; Ryohei Sasano ; Koichi Takeda
⬇️ Downloads: 1,275

Summary

Researchers propose a self-guided curriculum learning strategy for neural machine translation (NMT) that encourages the model to learn from easy to hard examples based on recovery degrees, which are computed by sentence-level BLEU scores. Experimental results on WMT14 English-German and WMT17 Chinese-English translation benchmarks demonstrate that this method improves translation performance by alleviating the distribution shift problem in vanilla NMT models. The approach casts the recovery degree of each training example as its learning difficulty, allowing the NMT model to learn from examples with higher recovery degrees to those with lower degrees, and can be implemented with fixed and dynamic curriculum schedules.

Description

Researchers propose a self-guided curriculum learning strategy for neural machine translation (NMT) that encourages the model to learn from easy to hard...

Technical Information

  • File Format: PDF
  • File Size: 1.3 MB
  • Pages: 9
  • Language: EN
  • Author: Lei Zhou ; Liang Ding ; Kevin Duh ; Shinji Watanabe ; Ryohei Sasano ; Koichi Takeda
  • Total Downloads: 1,275
  • Last Updated: 2 hours ago

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