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Acquisition of phonology in child Icelandic Sign Language

Unique findings

Bibliographic Data

ID22159361
AuthorsElena Koulidobrova (0000-0003-4839-8380, Central Connecticut State University), Nedelina Ivanova (0000-0002-1196-9779, Hearing, Speech & Deaf Center)
Year2020
Volume5
Issue1
Pages164
Publication date2020-03-23
Open AccessYes
TypeARTICLE
VenueProceedings of the Linguistic Society of America (JOURNAL)
Journal identifiersISSN: 2473-8689 • E-ISSN: 2473-8689
PublisherLinguistic Society of America (PUBLISHER • US)
DOI10.3765/plsa.v5i1.4697
OpenAlexW3012627885
LanguageEN
Citations received2
References cited9

Research shows that acquisition of sign language phonology is a developmental process and involves multiple articulatory cues. Among these cues, handshape has been shown to be crucial and orientation has been argued to be potentially disregardable as being internal to sign production rather than encoding a minimal contrast. We administered a non-word repetition task and a picture naming task to 17 (age 3-15) deaf and hard-of-hearing signers of Icelandic Sign Language (ÍTM)—an endangered indigenous language of the Deaf community in Iceland—targeting the same articulatory features. The tasks were modeled after similar assessment tools for other languages. All of the participants use ÍTM for daily activities at school and at home; the vast majority were early learners (before 36ms). Results show an upward trajectory in the non-word repetition task scores but without a ceiling effect. Contrary to predictions, no effect of handshape was observed. Instead, on both pseudo- and real-word tasks, the majority of errors were in orientation/mirroring. The results suggest that orientation plays a non-trivial role in acquisition of sign language phonology

American Sign Language · Cognitive psychology · Icelandic · Linguistics · Mirroring · Phonology · Sign language · Communication · Computer Science · Hand Gesture Recognition Systems · Hearing Impairment and Communication · Language, Discourse, Communication Strategies · Psychology · Artificial Intelligence

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Citations per year0.4
Citation span2021 - 2023 (3)
Highly citedNo

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