Ibn al-Anbârî and his method at his book Asrâr al- Arabiyya
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
2019
0 views
0 downloads
Advisor: Dr. Öğr. Üyesi Hatice Arslan Sözüdoğru
Abstract (EN)
In this study, Asrâr al-Arabiyya by Abu al-Barakât al-Anbâri which he examines the subjects of ilm al-nahv in the terms of reason and reasoning is analyzed. The main source of this analysis is Lumau' al-Adilla by Anbâri which is regarded the first comprehensive and seperate work about the methodology of ilm al-nahv. It is seen that Anbari is mostly consistent and more close to the school of Basra in theory and practice. He makes an effort to base every issue on an reason. These reasons are found sometimes by the evidence of semâ and sometimes by analogy. The evidence of semâ provides direct emergence of hukm and forms the source of the first rukn of analogy which is called maqıs al-aleyh. Sometimes some various methods of deduction step in. These methods sometimes are used as a seperate evidence, and sometimes are regarded as a helper which is subject to analogy.
Author
Furkan Semih Yaman
Institution
How to Cite
Furkan Semih Yaman (Master Thesis). Ibn al-Anbârî and his method at his book Asrâr al- Arabiyya, 2019, İstanbul University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from İstanbul University
- Determination of total anthocyanin, caretenoid andantioxidant capacity of black goji berry (Lycium ruthenicummurr.) fruits(2021)
- Abulfaz Elchibey and his family life(2021)
- In the covid 19 pandemic of female employees at a university hospital attitudes and affecting factors in nutrition of 9 months-6 years old children(2022)
- New surveillance paradigms in the COVİD-19 era: Critical discourse analysis on a cross-secti̇onal sample of Health Minister Fahrettin Koca's twitter posts(2022)
- Buying and selling precious documents in terms of Islamic Law(2022)
- Analysis of clinical correlation of radiological imaging in idiopathic pulmonary fibrosis by quantitative computed tomography(2020)