  Developing successful sign language recognition, generation, and translation
systems requires expertise in a wide range of fields, 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
field? and 3) What are the calls to action for people working in the field? 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.
