The database contains:
- Frequency ratings
- Iconicity ratings
- Lexical properties
- Phonological coding
- Neighborhood density calculations
- English translation
- Alternative translations
- Reference video clip
This project is a collaboration between the Laboratory for Language and Cognitive Neuroscience at SDSU, the Psycholinguistics and Linguistics Lab at Tufts University and the Programs in Deaf Studies at Boston University.
This research is supported by the National Science Foundation BSC 1918556 to Dr. Karen Emmorey, Dr. Zed Sevcikova and San Diego State University and National Science Foundation BSC 1625954 to Dr. Karen Emmorey and San Diego State University.
Science can be hard to describe – concepts, theories, processes, and phenomena use up a lot of words—and even after careful consideration those words can fall short. That’s why for the last three years Popular Science has teamed up with the National Science Foundation to honor the best science visualizations with a Vizzie award.
Sevcikova Sehyr, Z., Edinger, R., & Emmorey, K. (2019). Quantifying the spatial and temporal propertieis of nouns and verbs in American Sign Language using Microsoft Kinect. Poster presented at the meeting of Sign Language Linguistics Society (TISLR13). September, Hamburg, Germany.
Sevcikova Sehyr, Z. & Emmorey, K. (2019). Lexical factors that influence sign retrieval: A large-scale ASL picture naming study. Poster presented at the meeting of Sign Language Linguistics Society (TISLR13). September, Hamburg, Germany.
Sevcikova Sehyr, Z., Caselli, N., Goldberg-Cohen, A., & Emmorey, K. (2016). ASL-LEX: A lexical database for American Sign Language. Theoretical Issues in Sign Language Research 12, January, Melbourne, Australia.
Caselli, N., Sevcikova Sehyr, Z., Cohen-Goldberg, A., & Emmorey, K. (2016). An investigation of the American Sign Language lexicon. Paper presented at the 10th International Conference on the Mental Lexicon, October, Ottawa, Canada.