QSST: A Quranic Semantic Search Tool based on word embedding-Reference-Cited by-同舟云学术

QSST: A Quranic Semantic Search Tool based on word embedding

Published:2020-01 Issue: Volume: Page:
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Mohamed Ensaf Hussein,Shokry Eyad Mohamed

Publisher

Elsevier BV

Subject

General Computer Science

Reference48 articles.

1. Introduction to Information Retrieval;Manning,2008

2. An Artificial intelligence approach to Arabic and Islamic content on the internet;Atwell,2011

3. Semantic search on text and knowledge bases;Bast;Found. Trends® Inform. Retrieval,2016

4. “Arabic language,” Encyclopedia Britannica. [Online]. Available: https://www.britannica.com/topic/Arabic-language. (accessed 30.11.19).

5. Arabic dialects and classical arabic language;Khrisat;Adv. Soc. Sci. Res. J.,2015

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Quran Wordnet: A Framework for Semantic and Sentiment Search;2023 7th IEEE Congress on Information Science and Technology (CiSt);2023-12-16

4. Specialized Syntactic Quran Search Engines: Evaluation and Limitations;2023 Intelligent Methods, Systems, and Applications (IMSA);2023-07-15