论文标题
南非官方语言的神经机器翻译
Neural Machine Translation for South Africa's Official Languages
论文作者
论文摘要
神经机器翻译（NMT）的最新进展已导致许多基于欧洲的翻译任务的最新结果。但是，尽管有这些进步，但将这些方法应用于非洲语言并不关注。在本文中，我们试图通过在英语和南非剩下的十种官方语言之间创建NMT基准BLEU得分来解决这一差距。
Recent advances in neural machine translation (NMT) have led to state-of-the-art results for many European-based translation tasks. However, despite these advances, there is has been little focus in applying these methods to African languages. In this paper, we seek to address this gap by creating an NMT benchmark BLEU score between English and the ten remaining official languages in South Africa.
