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文章基本信息

  • 标题:A Relational Data Model of Natural Langange Processing on Nahwu Learning
  • 本地全文:下载
  • 作者:Faiz In‟amurrohman ; Andri Pranolo ; Arief Hermawan
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2015
  • 卷号:24
  • 期号:1
  • 页码:50-53
  • DOI:10.14445/22312803/IJCTT-V24P110
  • 出版社:Seventh Sense Research Group
  • 摘要:It is important for Muslims to study Nahwu which is became the basis for understanding the Qur'an and Hadith to avoid mistakes in interpretation. The difficulty of studying, it makes the majority of Muslims are less able to understand the Nahwu, and so needed another alternative that can facilitate Muslims to learn. This works aim to design and implementation relational database used for natural language processing application of nahwu learning. Entity relationship (ER) data model used for collecting the data from real world, furthermore it converted to relational model. Normalization process has done to ensure the relational data model produced is in 3rd Normal Form (NF). The results are ER with ten entities and relational model database which have been ten tables in 3rd NF.
  • 关键词:Natural language processing; Nahwu; Database; Entity relationship; Relational model; Normalization.
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