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SDSU Laboratory for Language and Cognitive Neuroscience (LLCN)

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ASL-LEX Database

August 18, 2014

A subjective frequency and iconicity database for 1000 ASL signs

Word frequency plays an important role in language processing (e.g. word recognition, word naming, lexical decision, phonological processing) and might also be an important determinant of language structure. There are many large volume corpora and normative data sets available that spoken language researchers can use to control features such as frequency, phonological properties, imageability and parts of speech in their experiments. However, few similar large-scale datasets are available for sign languages.

To fill this gap, we have teamed up with researchers at Tufts University, Naomi Caselli and Ariel Cohen-Goldberg, to collaborate on a collection of subjective frequency and iconicity ratings from a group of deaf ASL signers (25-30 raters) for a set of 1000 ASL signs, providing the largest sign language dataset of its kind to date. In addition, all signs have been coded for phonological features based on a modified version of the Prosodic Model (Brentari, 1998) from which neighborhood densities can be calculated. Our analyses of this database are nearly complete (e.g., examining correlations between frequency, iconicity, and phonological complexity), and the results will soon be submitted for publication in Behavioral Research Methods.

The database itself will be made publically available, including the videos. Publication of the full dataset online will provide a valuable tool for anyone conducting sign language research.

  • http://ase.tufts.edu/psychology/psycholinglab/

 

 

Filed Under: Announcements

Announcements

Dr. Karen Emmorey to give Zoom presentation “The Neurobiology of Reading in Deaf and Hearing Adults,” Wednesday, April 6th, 2-3pm PST hosted by RIT. Click here to register and for more information.

April 4, 2022

Summer 2022 Lipinsky internship opportunity!

February 24, 2022

Dr. Brittany Lee standing with Dr. Emmorey

Congratulations to Dr. Brittany Lee on the completion of her dissertation “Word representation and processing in deaf readers: Evidence from ERPs and eye tracking”

June 1, 2021

archived announcements >>

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