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.

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