OpenNMT: Open-Source Toolkit for Neural Machine Translation
This provides a practical toolkit for researchers and practitioners in machine translation, though it is incremental as it builds on existing NMT methods.
The authors tackled the need for accessible tools in neural machine translation by developing OpenNMT, an open-source toolkit that emphasizes efficiency, modularity, and extensibility to support research, while achieving competitive performance with reasonable training requirements.
We describe an open-source toolkit for neural machine translation (NMT). The toolkit prioritizes efficiency, modularity, and extensibility with the goal of supporting NMT research into model architectures, feature representations, and source modalities, while maintaining competitive performance and reasonable training requirements. The toolkit consists of modeling and translation support, as well as detailed pedagogical documentation about the underlying techniques.