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FLexSign: A lexical database in French Sign Language (LSF)
Philomène Périn1, Santiago Herrera2, Caroline Bogliotti2,3
1Modyco, UMR 7114, CNRS, Université Paris Nanterre, Nanterre, France. philomene.perin@parisnanterre.fr.
Researchers created FLexSign, a new database for French Sign Language (LSF) signs, providing crucial psycholinguistic data like familiarity and iconicity. This resource aids sign language research and understanding of lexical processing.
Area of Science:
- Psycholinguistics
- Linguistics
- Sign Language Research
Background:
- Psycholinguistic research requires accurate data on linguistic materials for understanding language processing.
- A significant gap exists in psycholinguistic data for French Sign Language (LSF).
- Existing lexical databases for sign languages often lack detailed psycholinguistic information.
Purpose of the Study:
- To introduce FLexSign, the first interactive lexical database for LSF signs.
- To provide psycholinguistic data on familiarity, concreteness, and iconicity for LSF signs.
- To facilitate research on lexical processing in sign languages.
Main Methods:
- Developed FLexSign, an interactive lexical database inspired by ASL-Lex.
- Collected familiarity, concreteness, and iconicity data for 546 LSF signs.
- Utilized an online questionnaire completed by 33 participants.
Main Results:
- FLexSign contains psycholinguistic data for 546 French Sign Language signs.
- The database includes measures of familiarity, concreteness, and iconicity.
- This data is essential for understanding factors influencing sign processing.
Conclusions:
- FLexSign addresses a critical need for psycholinguistic data in LSF research.
- The database offers valuable resources for experimental and clinical applications in sign language.
- FLexSign is designed for future expansion and contributions from the research community.
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