AfricaSign - A Crowd-sourcing Platform for the Documentation of STEM Vocabulary in African Sign Languages

被引：2

作者：

Soudi, Abdelhadi ^{[1
,2
]}

Van Laerhoven, Kristof ^{[3
]}

Bou-Souf, Elmostafa ^{[1
,2
]}

机构：

[1] ENSMR Rabat, Sign Language Lab, Rabat, Morocco

[2] ENSMR Rabat, CLC, Rabat, Morocco

[3] Univ Siegen, Ubiquitous Comp Lab, Siegen, Germany

来源：

ASSETS'19: THE 21ST INTERNATIONAL ACM SIGACCESS CONFERENCE ON COMPUTERS AND ACCESSIBILITY | 2019年

关键词：

Sign language; Africa; documentation; avatar technology; STEM;

D O I：

10.1145/3308561.3354592

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Research in sign languages, in general, is still a relatively new topic of study when compared to research into spoken languages. Most of African sign languages are endangered and severely under-studied [11]. In an attempt to (lexically) document as many endangered sign languages in Africa as possible, we have developed a low-barrier, online crowd-sourcing platform (AfricaSign) that enables the African deaf communities to document their sign languages. AfricaSign offers to users multiple input modes, accommodates regional variation in multiple sign languages and allows the use of avatar technology to describe signs. It is likely that this research will uncover typological features exhibited by African sign languages. Documentation of STEM vocabulary will also help facilitate access to education for the Deaf community.

引用

页码：658 / 660

页数：3

共 7 条

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