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Aug, 2017
神经机器翻译的动态数据选择
Dynamic Data Selection for Neural Machine Translation
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Marlies van der Wees, Arianna Bisazza, Christof Monz
TL;DR
本研究探讨了数据选择技术在神经机器翻译方面的应用，介绍了一种逐步微调的动态数据选择方法，并展示了该方法在数据选择方面的领先优势。
Abstract
Intelligent selection of training data has proven a successful technique to simultaneously increase
training efficiency
and
translation performance
for phrase-based machine translation (PBMT). With the recent inc
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