BriefGPT.xyz
Mar, 2021
神经机器翻译领域适应的元课程学习
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
HTML
PDF
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
TL;DR
本文提出了一种新的元课程学习方法，通过先学习相似领域的课程以避免早期陷入糟糕的局部最优，然后学习各自的课程以提高模型鲁棒性从而改善低资源神经机器翻译领域自适应问题。实验结果表明，这种方法可以提高熟悉和不熟悉领域的翻译性能。
Abstract
meta-learning
has been sufficiently validated to be beneficial for
low-resource
neural machine translation
(NMT). However, we find that me
→