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Unknown - 8.7 KB - MD5: 7f91c07f850852015328e0417e913962
Python Source Code - 1.1 KB - MD5: 4aac7f964741bae99ba9334cf1034e45
Python Source Code - 30.1 KB - MD5: aace71fb60917dfd7e45c7f6399badbd
May 26, 2021 - PN 6-4
Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Neural Machine Translation Visualization System", https://doi.org/10.18419/DARUS-1849, DaRUS, V1
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 the...
ZIP Archive - 31.3 MB - MD5: e35ec094ab6bf591a9a5b81d5a13c791
Source code of our visual analytics system
Nov 2, 2020 - PN 6-4
Munz, Tanja; Schäfer, Noel; Blascheck, Tanja; Kurzhals, Kuno; Zhang, Eugene; Weiskopf, Daniel, 2020, "Supplemental Material for Comparative Visual Gaze Analysis for Virtual Board Games", https://doi.org/10.18419/DARUS-1130, DaRUS, V1
Supplemental material for "Comparative Visual Gaze Analysis for Virtual Board Games". Contains the source code, an executable file, an example data set, a video for demonstration of the analysis system and additional information about Go. The analysis system supports eye tracking researchers in analyzing and comparing eye movement behavior of two p...
PNG Image - 662.9 KB - MD5: 5068b2ecd03c252fdf386983052df6d8
Screenshot of the analysis system
ZIP Archive - 63.8 MB - MD5: 8082811d4563eaffbed93e1bdfc0dd05
Video demonstrating the features of the system
ZIP Archive - 101.2 MB - MD5: dd836aa0f27d6260f8b011143a6ae60d
Example dataset that was recorded with two different eye trackers; it can be loaded into the analysis system
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