NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afterward, users can find mistranslated sentences, explore and correct these sentences and retrain the model to generate a better translation for the whole document. Our approach targets the correction of domain-specific documents. This extended version of our visual analytics system provides additional visualization and interaction techniques as well as scripts for computer-based evaluation of our approach. You can find important information about our system here and an introduction to our system here.

You may find the most recent version of the source code on GitHub: https://github.com/MunzT/NMTVis

Trained models for translation from German to English and vice versa can be found here: https://doi.org/10.18419/darus-1850