The Role of Noun Classifiers in Sign Recognition in Deaf Signers of Hong Kong Sign Language: A Preliminary Analysis

Loading...
Thumbnail Image
Penn collection
School of Arts & Sciences::Department of Linguistics::University of Pennsylvania Working Papers in Linguistics
Degree type
Discipline
Linguistics
Subject
Linguistics
Funder
Grant number
Copyright date
2025
Distributor
Related resources
Author
Thierfelder, Philip
Koenders, Emily
Contributor
Abstract

This study investigates the role of iconicity and noun classifiers in the lexical access processes of deaf signers of Hong Kong Sign Language (HKSL). Previous research on iconicity effects in sign language processing has yielded mixed results, leaving the role of this particular linguistic property in lexical access unclear. This preliminary study proposes that examining how the effects of specific morphophonological structures, particularly noun classifiers, affect sign processing may help us better understand the influence of iconicity on lexical access. We used a lexical decision task with 45 deaf HKSL signers, using stimuli categorized into four conditions: signs without classifiers, and signs containing entity, handling, or body part classifiers. Results showed facilitative effects for all classifier types, with body part classifiers demonstrating robust facilitatory effects on both accuracy and reaction times. Interestingly, the effect of body part classifiers persisted even when controlling for iconicity, suggesting that body part classifiers may have unique properties that facilitate efficient lexical access. While these results are preliminary, they point to the importance of considering fine-grained morphophonological categories when investigating the role of iconicity in sign language acquisition and processing.

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2025
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation
Collection