Development of a Bilingual Corpus of Arabic and Arabic Sign Language based on a Signed Content

被引：0
|
作者：
El Maazouzi, Zakaria [1 ]
El Mohajir, Badr Eddine [1 ]
Al Achhab, Mohammed [2 ]
Souri, Adnan [2 ]
机构：
[1] Abdelmalek Essaadi Univ, Informat Syst & Telecommun Lab, Tetouan, Morocco
[2] Abdelmalek Essaadi Univ, Fac Sci, Natl Sch Appl Sci, Tetouan, Morocco
来源：
2016 4TH IEEE INTERNATIONAL COLLOQUIUM ON INFORMATION SCIENCE AND TECHNOLOGY (CIST) | 2016年
关键词：
Arabic Sign Language; Bilingual Corpus; Statistical Machine Translation; Example-Based Machine Translation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the creation process of a bilingual corpus of Arabic and Arabic Sign Language. This work will be concerned with a challenging research approach that aims to develop a solution that meets communication need of the Arab deaf community. Many sign language corpora have been proposed, but unfortunately, none of them is adapted to Arabic Sign Language (ArSL). To tackle this problem we designed a methodology for developing a bilingual Arabic and Arabic Sign Language corpus. To achieve this, the study will rely on sign content exported from Aljazeera Mubachir Egypt [1] TV news for deaf and hearing-impaired people.
引用
收藏
页码：349 / 354
页数：6
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