1,631 to 1,640 of 1,647 Results
Unknown - 8.7 KB -
MD5: 7f91c07f850852015328e0417e913962
|
Unknown - 1.1 KB -
MD5: ae30cd278bc9f9ed51d7ab441a251cc5
|
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... |
May 26, 2021 -
NMTVis - Neural Machine Translation Visualization System
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 |