论文标题
Mokeye 2神经机器翻译工具包，AMTA 2020
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
论文作者
论文摘要
我们提出了Sockeye 2，这是Sockeye神经机器翻译（NMT）工具包的现代化和精简版。新功能包括通过使用MXNET的Gluon API，重点是最先进的模型体系结构，分布式混合精度训练以及使用8位量化的有效CPU解码来简化代码基础。这些改进会导致更快的训练和推理，较高的自动度量评分以及从研究到生产的较短途径。
We present Sockeye 2, a modernized and streamlined version of the Sockeye neural machine translation (NMT) toolkit. New features include a simplified code base through the use of MXNet's Gluon API, a focus on state of the art model architectures, distributed mixed precision training, and efficient CPU decoding with 8-bit quantization. These improvements result in faster training and inference, higher automatic metric scores, and a shorter path from research to production.
