Sign language recognition, generation, and translation: An interdisciplinary perspective

Naomi Caselli

Abstract:

Developing successful sign language recognition, generation,
and translation systems requires expertise in a wide range of
felds, including computer vision, computer graphics, natural
language processing, human-computer interaction, linguistics,
and Deaf culture. Despite the need for deep interdisciplinary
knowledge, existing research occurs in separate disciplinary
silos, and tackles separate portions of the sign language processing pipeline. This leads to three key questions: 1) What
does an interdisciplinary view of the current landscape reveal?
2) What are the biggest challenges facing the feld? and 3)
What are the calls to action for people working in the feld?
To help answer these questions, we brought together a diverse
group of experts for a two-day workshop. This paper presents
the results of that interdisciplinary workshop, providing key
background that is often overlooked by computer scientists, a
review of the state-of-the-art, a set of pressing challenges, and
a call to action for the research community.