Article,

Transcribing sign languages with Typannot: the typographic system which retains and displays layers of information.

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Grapholinguistics and its Applications, Grapholinguistics in the 21st century (5 (2)): 1009-1037 (2021)
DOI: 10.36824/2020-graf-dane

Abstract

There are more than 140 sign languages (SLs) in the world and studying them is a relatively recent field of research (starting in the 1960s). Linguists have the need to represent the different levels of gestures that make up the signs in order to analyze the way SLs work. Such transcription requires the use of a dedicated graphic system. Typannot, the transcription system presented in this article, is a typographic system that allows the description of all formal features of SLs. Our contribution to the field of grapholinguistics is a phonological model and a transcription system for SLs that are rooted in the articulatory possibilities of the signer’s body. Compared to existing graphematic systems, our approach of SLs description is both phonological, allowing descriptions of the different articulatory structures (low level) involved in SLs, and logographical, allowing users to read the transcriptions from a unified perspective (high level). We will detail the design principles that drive the development of such a typographic system, the graphemic model that derives from linguistic study, and the tools that allow researchers to use Typannot to its fullest capacities. This article also outlines the kinesiological approach, which Typannot uses, noting radical changes in the way researchers should look at meaning through gesture. This approach opens new perspectives in researching movement itself as a central source of meaning in human communication via gesture.

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