We propose a unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including: part-of-speech tagging, chunki...
: Testing against natural language requirements is the standard approach for system and acceptance testing. This test is often performed by an independent test organization unfamil...
To reduce the ambiguity and the different semantic interpretation of human observers’ reports, we propose a new paradigm in collaborating information using icons to represent co...
In this paper, we employ a zero-order local deformation model to model the visual variability of video streams of American sign language (ASL) words. We discuss two possible ways o...
Morteza Zahedi, Daniel Keysers, Thomas Deselaers, ...
We build upon a constrained, lab-based Sign Language recognition system with the goal of making it a mobile assistive technology. We examine using multiple sensors for disambiguat...
Helene Brashear, Thad Starner, Paul Lukowicz, Holg...