Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard Hovy, Tong Zhang
TL;DR通过基于强化学习的翻译策略,以翻译的充分性为奖励,提高神经机器翻译模型的翻译效果。
Abstract
Although neural machine translation (NMT) models have advanced
state-of-the-art performance in machine translation, they face problems like
the inadequate translation. We attribute this to that the standard Maximum
Likelihood Estimation (MLE) cannot judge the real translation quality d