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文章基本信息

  • 标题:Classifying Natural Language Text as Controlled and Uncontrolled for UML Diagrams
  • 本地全文:下载
  • 作者:Nakul Sharma ; Prasanth Yalla
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2017
  • 卷号:8
  • 期号:6
  • DOI:10.14569/IJACSA.2017.080632
  • 出版社:Science and Information Society (SAI)
  • 摘要:Natural language text fall within the category of Controlled and Uncontrolled Natural Language. In this paper, an algorithm is presented to show that a given language text is controlled or uncontrolled. The parameters and framework is provided for UML diagram's repository. The parameter for controlled and uncontrolled languages is provided.
  • 关键词:Natural Language Processing; UML Diagrams; Software Engineering
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