2011, ISBN: 9783846511022

Kartoniert, 56 Seiten, 220mm x 150mm x 4mm, Sprache(n): eng This study explore the implementation of the Urdu text searching methodology to search the Quran and associated Prophet Muhamma… Más…

Kartoniert, 56 Seiten, 220mm x 150mm x 4mm, Sprache(n): eng 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.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) Versandkostenfreie Lieferung<

2009, ISBN: 9783846511022

[ED: Taschenbuch], [PU: LAP LAMBERT Academic Publishing], Neuware - This study explore the implementation of the Urdu text searching methodology to search the Quran and associated Prophet… Más…

[ED: Taschenbuch], [PU: LAP LAMBERT Academic Publishing], 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.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x3 mm, 56, [GW: 102g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

2009, ISBN: 9783846511022

[ED: Taschenbuch], [PU: LAP LAMBERT Academic Publishing], Neuware - This study explore the implementation of the Urdu text searching methodology to search the Quran and associated Prophet… Más…

[ED: Taschenbuch], [PU: LAP LAMBERT Academic Publishing], 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.- Besorgungstitel - vorauss. Lieferzeit 3-5 Tage., DE, [SC: 2.20], Neuware, gewerbliches Angebot, 220x150x3 mm, 56, [GW: 102g], Banküberweisung, Offene Rechnung, Kreditkarte, PayPal, Offene Rechnung (Vorkasse vorbehalten), Internationaler Versand<

2011, ISBN: 3846511021

[EAN: 9783846511022], Neubuch, [PU: LAP LAMBERT Academic Publishing], nach der Bestellung gedruckt Neuware - Printed after ordering - This study explore the implementation of the Urdu tex… Más…

[EAN: 9783846511022], Neubuch, [PU: LAP LAMBERT Academic Publishing], 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. 56 pp. Englisch, Books<

2011, ISBN: 3846511021

Kartoniert / Broschiert Grafische und digitale Media-Anwendungen, mit Schutzumschlag 11, [PU:LAP LAMBERT Academic Publishing]