Quran Hadith Classifier: For better understanding of Islam - Softcover

Mohsin, Muhammad; Ayesha, Kashif N; Kamran, Muhammad

 
9783846511022: Quran Hadith Classifier: For better understanding of Islam
Softcover
ISBN 10: 3846511021 ISBN 13: 9783846511022
Verlag: LAP LAMBERT Academic Publishing, 2011

Inhaltsangabe

This study explore the implementation of the Urdu text searching methodology to search the Quran and associated Prophet Muhammad (PBUH) Hadiths (using different books of hadiths) related to the input from the user. Urdu Quran and Hadith Classifier is a research-based application developed for Urdu based searching technology and information transfer. Its objective is to search the related Verses of Quran from plain Urdu text. It is an accommodating tool for all the Muslim to search about any topic from Quran and their related Hadith. It will also help the Muslim to know the history of Surah’s to understand the underlying principle of Quran. The application takes Urdu Unicode text from the user as an input, amends it according to the methodology and searches the Verses and related Hadith. To carry out this transformation, the System has to go through a series of steps. These steps are tokenization of input text, Generation of stems, Apply Bigram-Model, Frequency assignment and search Verses and Hadith. Present method adopts Bigram-Model which is used for text search.

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Über die Autorin bzw. den Autor

Muhammad Mohsin, Kashif n Ayesha : We have completed our Master of Information (MIT) from PUCIT, University of the Punjab, Lahore Pakistan. Muhammad Kamran Malik: I am currently working as Assistant Professor at PUCIT, University of the Punjab, Lahore Pakistan. My are of interest is Natural Language Processing(NLP)

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2011
Sprache
Englisch
ISBN 10 
3846511021
ISBN 13 
9783846511022
Einband
Taschenbuch
Anzahl der Seiten
56
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
JustFiction Edition
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
1039
Lettland