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文章基本信息

  • 标题:Statistical Sign Language Machine Translation: from English written text to American Sign Language Gloss
  • 作者:Achraf Othman ; Mohamed Jemni
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:5
  • 出版社:IJCSI Press
  • 摘要:This works aims to design a statistical machine translation from English text to American Sign Language (ASL). The system is based on Moses tool with some modifications and the results are shown through a 3D avatar from interpretation. As a first step, we translate the input text to gloss, a written form of ASL. Then, we pass the output to the WebSign Plugin to play the sign. Contributions of this work are the use of a new couple of language English/ASL and an improvement of statistical machine translation based on string matching thanks to Jaro distance.
  • 关键词:Sign Language Processing; Machine Translation; Jaro Distance; Natural Language Processing
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