论文标题
迈向现代标准阿拉伯语的手语表象
Towards A Sign Language Gloss Representation Of Modern Standard Arabic
论文作者
论文摘要
超过5％的世界人口（4.66亿人）丧失了听力损失。 400万是孩子。他们可能很难听或聋。聋哑人大多会有深远的听力损失。这意味着很少或根本没有听力。在世界范围内，聋人经常使用手语和双手和面部表情的手势进行交流。手语是一种具有自己的语法和词典的成熟自然语言。因此，需要从和签名语言的翻译模型。在这项工作中，我们对将现代标准阿拉伯语（MSAR）翻译成手语感兴趣。我们从MSAR生成了一个光泽表示，该表格将提取动画符号的生成强制性。我们的方法定位了维持输入阿拉伯语句子含义的最相关特征。
Over 5% of the world's population (466 million people) has disabling hearing loss. 4 million are children. They can be hard of hearing or deaf. Deaf people mostly have profound hearing loss. Which implies very little or no hearing. Over the world, deaf people often communicate using a sign language with gestures of both hands and facial expressions. The sign language is a full-fledged natural language with its own grammar and lexicon. Therefore, there is a need for translation models from and to sign languages. In this work, we are interested in the translation of Modern Standard Arabic(MSAr) into sign language. We generated a gloss representation from MSAr that extracts the features mandatory for the generation of animation signs. Our approach locates the most pertinent features that maintain the meaning of the input Arabic sentence.
