Sockeye: A Toolkit for Neural Machine Translation

Understand

We describe Sockeye (version 1.12), an open-source sequence-to-sequence toolkit for Neural Machine Translation (NMT).

• Sockeye is a production-ready framework for training and applying models as well as an experimental platform for researchers.
• Written in Python and built on MXNet, the toolkit offers scalable training and inference for the three most prominent encoder-decoder architectures: attentional recurrent neural networks, self-attentional transformers, and fully convolutional networks.
• Sockeye also supports a wide range of optimizers, normalization and regularization techniques, and inference improvements from current NMT literature.