SEM-LEX
ASL-LEX is a lexical database that provides information about thousands of signs in ASL. It includes details on how frequently each sign is used, how complex it is, and even how iconic it is (how closely the sign’s form matches its meaning). ASL-LEX helps students, researchers, and anyone interested in ASL to better understand the structure of the language and its vocabulary. This tool makes it easy to explore and learn more about the ASL lexicon.
The Team
ASL-LEX is a collaboration with the Cognition, Language and Plasticity Lab at Chapman University, and the Laboratory for Language and Cognitive Neuroscience at San Diego State University.
Zed Sevcikova Sehyr
Chapman University
Karen Emmorey
San Diego State University
Lee Kezar
University of Southern California
Jesse Thomason
University of Southern California
Elana Pontecorvo
Boston University
Ruth Ferster
Boston Univesity
Connor Baer
Boston Univesity
Adele Daniels
Boston Univesity
Lauren Berger
Boston Univesity
Naomi Caselli
Boston University