Lingua: Inglese
Editore: Editorial Academica Espanola, 2011
ISBN 10: 3846511021 ISBN 13: 9783846511022
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 56.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846511021 ISBN 13: 9783846511022
Da: preigu, Osnabrück, Germania
EUR 43,30
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Quran Hadith Classifier | For better understanding of Islam | Muhammad Mohsin (u. a.) | Taschenbuch | 56 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846511022 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846511021 ISBN 13: 9783846511022
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 174,85
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Aggiungi al carrellopaperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3846511021 ISBN 13: 9783846511022
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 49,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 56 pp. Englisch.
Lingua: Inglese
Editore: Editorial Academica Espanola, 2011
ISBN 10: 3846511021 ISBN 13: 9783846511022
Da: Majestic Books, Hounslow, Regno Unito
EUR 75,75
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 56 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Lingua: Inglese
Editore: Editorial Academica Espanola, 2011
ISBN 10: 3846511021 ISBN 13: 9783846511022
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,53
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 56.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846511021 ISBN 13: 9783846511022
Da: moluna, Greven, Germania
EUR 41,05
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohsin MuhammadMuhammad 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.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Okt 2011, 2011
ISBN 10: 3846511021 ISBN 13: 9783846511022
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 49,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3846511021 ISBN 13: 9783846511022
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 49,00
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.