Automated Sign Language Translation: The Role of Artificial Intelligence Now and in the Future

被引:8
作者
Baumgaertner, Lea [1 ]
Jauss, Stephanie [1 ]
Maucher, Johannes [1 ]
Zimmermann, Gottfried [1 ]
机构
[1] Hsch Medien, Nobelstr 10, D-70569 Stuttgart, Germany
来源
PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON COMPUTER-HUMAN INTERACTION RESEARCH AND APPLICATIONS (CHIRA) | 2020年
关键词
Sign Language Translation; Sign Language Recognition; Sign Language Generation; Artificial Intelligence;
D O I
10.5220/0010143801700177
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Sign languages are the primary language of many people worldwide. To overcome communication barriers between the Deaf and the hearing community, artificial intelligence technologies have been employed, aiming to develop systems for automated sign language recognition and generation. Particularities of sign languages have to be considered - though sharing some characteristics of spoken languages - since they differ in others. After providing the linguistic foundations, this paper gives an overview of state-of-the-art machine learning approaches to develop sign language translation systems and outlines the challenges in this area that have yet to be overcome. Obstacles do not only include technological issues but also interdisciplinary considerations of development, evaluation and adoption of such technologies. Finally, opportunities and future visions of automated sign language translation systems are discussed.
引用
收藏
页码:170 / 177
页数:8
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