A Relational Data Model of Natural Langange Processing on Nahwu Learning

International Journal of Computer Trends and Technology (IJCTT)          
© 2015 by IJCTT Journal
Volume-24 Number-1
Year of Publication : 2015
Authors : Faiz In‟amurrohman, Andri Pranolo, Arief Hermawan, Yana Hendriana


Faiz In‟amurrohman, Andri Pranolo, Arief Hermawan, Yana Hendriana "A Relational Data Model of Natural Langange Processing on Nahwu Learning". International Journal of Computer Trends and Technology (IJCTT) V24(1):50-53, June 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
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.

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Natural language processing, Nahwu, Database, Entity relationship, Relational model, Normalization.