Quran Hadith Classifier | For better understanding of Islam. Este artículo no está disponible.Quran Hadith Classifier | For better understanding of Islam

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.

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.