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Cited by 279

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Exploring lexical gaps in Australian Sign Language for the purposes of health communication

Major, George, Napier, Jemina, Ferrara, Lindsay, Johnston, Trevor·2013·Communication & Medicine

Abstract

Until recently no linguistic research had been carried out on Australian Sign Language (Auslan) with regard to its use in healthcare settings, although anecdotal information suggests that the health lexicon of Auslan is strikingly under-developed. This paper describes a study that examined health terminology from the perspective of deaf people. Based on a thematic analysis of focus group data, the paper outlines strategies that deaf Australians report using when communicating about health concepts that do not have established signs in Auslan. Participants described a variety of communicative strategies – including the use of fingerspelling, depiction and explanations – that they employ in order to circumnavigate lexical gaps when talking about health. The study provides a crucial starting point for a discussion of the implications of lexical gaps in Auslan and highlights issues of particular relevance for interpreters who take responsibility for brokering health terms and mediating health communication.

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Metadata

Authors
Major, G., Napier, J., Ferrara, L., & Johnston, T.
Venue
Communication & Medicine
Published
2013-02-19
Volume
9
Issue
1
Pages
37-47
ISSN
  • 1612-1783 (ISSN-L)
  • 1613-3625
OpenAlex
W1992910934
Cited by
279
References
32
FWCI
119.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Exploring lexical gaps in Australian Sign Language for the purposes of health communication. https://app.cochat.ai/papers/10.1558/cam.v9i1.37
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Major, G., Napier, J., Ferrara, L., & Johnston, T. (2013). Exploring lexical gaps in Australian Sign Language for the purposes of health communication. Communication & Medicine. https://doi.org/10.1558/cam.v9i1.37

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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