Quranic Corpus Models for Corpus-Based Studies

DOI

10.2991/conaplin-18.2019.270How to use a DOI?

Keywords

corpus-based studies; corpus model; Quranic corpus; Quran parallel corpus; Quranic studies

Abstract

The advanced development of computing technology covers various religious texts, such as Quran. Through computing technology, the Quran is formatted digitally in the forms of images and texts. The Quranic format in the form of digital texts, furthermore, is transformed into a Quranic corpus used widely as the material and object of Quranic studies in various fields by using the corpus linguistic approach. Although Quranic corpora are extensively available and widely used, introduction to corpora and its extensive use need to be done in Indonesia. This article will descriptively discuss various Quranic corpus models that can be utilized for the interest of corpus-based research about the Al-Quran. This study found that there are several models and formats of monolingual Quranic corpora that can be processed using certain applications. However, bilingual or even multilingual content of Quranic corpora in a parallel corpus format have not found yet specifically. This study concludes that on one hand the existing monolingual Quranic corpora have already been adequate to be applied in the Quranic corpus studies. However, on the other hand, the absence of parallel Quranic corpus models gives an opportunity for the research and trials in preparing the corpus so that it can be applied to develop Quranic corpus studies.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Nur Hizbullah
AU  - Abdul Mutaali
PY  - 2019/06
DA  - 2019/06
TI  - Quranic Corpus Models for Corpus-Based Studies
BT  - Proceedings of the Eleventh Conference on Applied Linguistics (CONAPLIN 2018)
PB  - Atlantis Press
SP  - 283
EP  - 289
SN  - 2352-5398
UR  - https://doi.org/10.2991/conaplin-18.2019.270
DO  - 10.2991/conaplin-18.2019.270
ID  - Hizbullah2019/06
ER  -