Comparative Analysis of Information Retrieval Models on Quran Dataset in Cross-Language Information Retrieval Systems

English is an international language used for communication worldwide but still many cannot read, write, understand, or communicate in English. On the other hand, the World Wide Web has unlimited resources of information in different languages which English native find challenging to understand. To...
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Autor*in:	Ayman A. Taan [verfasserIn] Shafiq Ur Rehman Khan [verfasserIn] Ali Raza [verfasserIn] Ayaz Muhammad Hanif [verfasserIn] Hira Anwar [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Cross language information retrieval query expansion Arabic information retrieval query length

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 9(2021), Seite 169056-169067
Übergeordnetes Werk:	volume:9 ; year:2021 ; pages:169056-169067

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2021.3126168

Katalog-ID:	DOAJ06343718X

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callnumber-first	T - Technology
author	Ayman A. Taan
spellingShingle	Ayman A. Taan misc TK1-9971 misc Cross language information retrieval misc query expansion misc Arabic information retrieval misc query length misc Electrical engineering. Electronics. Nuclear engineering Comparative Analysis of Information Retrieval Models on Quran Dataset in Cross-Language Information Retrieval Systems
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topic_title	TK1-9971 Comparative Analysis of Information Retrieval Models on Quran Dataset in Cross-Language Information Retrieval Systems Cross language information retrieval query expansion Arabic information retrieval query length
topic	misc TK1-9971 misc Cross language information retrieval misc query expansion misc Arabic information retrieval misc query length misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Cross language information retrieval misc query expansion misc Arabic information retrieval misc query length misc Electrical engineering. Electronics. Nuclear engineering
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title	Comparative Analysis of Information Retrieval Models on Quran Dataset in Cross-Language Information Retrieval Systems
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title_sort	comparative analysis of information retrieval models on quran dataset in cross-language information retrieval systems
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title_auth	Comparative Analysis of Information Retrieval Models on Quran Dataset in Cross-Language Information Retrieval Systems
abstract	English is an international language used for communication worldwide but still many cannot read, write, understand, or communicate in English. On the other hand, the World Wide Web has unlimited resources of information in different languages which English native find challenging to understand. To avoid such barriers, Cross-Language Information Retrieval (CLIR) systems are proposed, which refers to document retrieval tasks across different languages. This work focuses on the performance evaluation of different Information Retrieval (IR) models in CLIR system using Quran dataset. Furthermore, this work also investigated the length of query and query expansion models for effective retrieval. The results show that different length of queries has an impact on the performance of the retrieval methods in terms of effectiveness. Hence, after comprehensive experiments, an appropriate length of query for Arabic CLIR system is suggested along with the best query expansion and retrieval model.
abstractGer	English is an international language used for communication worldwide but still many cannot read, write, understand, or communicate in English. On the other hand, the World Wide Web has unlimited resources of information in different languages which English native find challenging to understand. To avoid such barriers, Cross-Language Information Retrieval (CLIR) systems are proposed, which refers to document retrieval tasks across different languages. This work focuses on the performance evaluation of different Information Retrieval (IR) models in CLIR system using Quran dataset. Furthermore, this work also investigated the length of query and query expansion models for effective retrieval. The results show that different length of queries has an impact on the performance of the retrieval methods in terms of effectiveness. Hence, after comprehensive experiments, an appropriate length of query for Arabic CLIR system is suggested along with the best query expansion and retrieval model.
abstract_unstemmed	English is an international language used for communication worldwide but still many cannot read, write, understand, or communicate in English. On the other hand, the World Wide Web has unlimited resources of information in different languages which English native find challenging to understand. To avoid such barriers, Cross-Language Information Retrieval (CLIR) systems are proposed, which refers to document retrieval tasks across different languages. This work focuses on the performance evaluation of different Information Retrieval (IR) models in CLIR system using Quran dataset. Furthermore, this work also investigated the length of query and query expansion models for effective retrieval. The results show that different length of queries has an impact on the performance of the retrieval methods in terms of effectiveness. Hence, after comprehensive experiments, an appropriate length of query for Arabic CLIR system is suggested along with the best query expansion and retrieval model.
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title_short	Comparative Analysis of Information Retrieval Models on Quran Dataset in Cross-Language Information Retrieval Systems
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Comparative Analysis of Information Retrieval Models on Quran Dataset in Cross-Language Information Retrieval Systems

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