Nematus: a Toolkit for Neural Machine Translation
This toolkit addresses the need for efficient and accurate neural machine translation tools for researchers and practitioners, though it is incremental as it builds on existing methods.
The authors introduced Nematus, a toolkit for Neural Machine Translation designed to achieve high translation accuracy, usability, and extensibility, and it has been used to build top-performing systems in competitions like WMT and IWSLT and for production environments.
We present Nematus, a toolkit for Neural Machine Translation. The toolkit prioritizes high translation accuracy, usability, and extensibility. Nematus has been used to build top-performing submissions to shared translation tasks at WMT and IWSLT, and has been used to train systems for production environments.