%0 Generic %1 munz2022nmtvis %A Munz, Tanja %A Väth, Dirk %A Kuznecov, Paul %A Vu, Ngoc Thang %A Weiskopf, Daniel %D 2022 %K EXC2075 PN6 myown vis(us) visus visus:munzta visus:weiskopf %R 10.18419/darus-2124 %T NMTVis - Extended Neural Machine Translation Visualization System %X 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.

@misc{munz2022nmtvis, abstract = {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.}, added-at = {2023-10-04T17:33:52.000+0200}, affiliation = {Munz, Tanja/University of Stuttgart, Väth, Dirk/University of Stuttgart, Kuznecov, Paul/University of Stuttgart, Vu, Ngoc Thang/University of Stuttgart, Weiskopf, Daniel/University of Stuttgart}, author = {Munz, Tanja and Väth, Dirk and Kuznecov, Paul and Vu, Ngoc Thang and Weiskopf, Daniel}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/297c16a709b140b9f490d8a254107e02f/tanjamunz}, doi = {10.18419/darus-2124}, howpublished = {Software}, interhash = {2ca9d88c72f0d61dcd18e560d7385e62}, intrahash = {97c16a709b140b9f490d8a254107e02f}, keywords = {EXC2075 PN6 myown vis(us) visus visus:munzta visus:weiskopf}, note = {Related to: T. Munz, D. Väth, P. Kuznecov, N. T. Vu, and D. Weiskopf. "Visualization-based improvement of neural machine translation", Computers & Graphics, 2021. doi: 10.1016/j.cag.2021.12.003}, orcid-numbers = {Munz, Tanja/0000-0003-3960-3290, Weiskopf, Daniel/0000-0003-1174-1026}, timestamp = {2023-10-04T17:33:52.000+0200}, title = {NMTVis - Extended Neural Machine Translation Visualization System}, year = 2022 }