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文章基本信息

  • 标题:An English-to-Arabic Prototype Machine Translator for Statistical Sentences
  • 本地全文:下载
  • 作者:Hamdy N. Agiza ; Ahmed E. Hassan ; Noura Salah
  • 期刊名称:Intelligent Information Management
  • 印刷版ISSN:2150-8194
  • 电子版ISSN:2150-8208
  • 出版年度:2012
  • 卷号:4
  • 期号:1
  • 页码:13-22
  • DOI:10.4236/iim.2012.41003
  • 出版社:Scientific Research Publishing
  • 摘要:Authors of that paper proposed a prototype machine translator system to translate scientific English sentences into Ara- bic sentences. This system is based on natural language processing and machine learning. This proposed system is ap- plied in statistical field, which is very important on a mathematical sub field in Math department. The system is ana- lyzed, designed and developed. Author tested the proposed system on some statistical statements. It proves its validity as a prototype system.
  • 关键词:Machine Translation; Natural Language Processing; Parsing; Dictionary
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