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Investigating Arabic Corpus (Korsa) of Indonesian Undergraduate Thesis Abstracts

Bibliographic Data

ID22128689
AuthorsMohammad Ahsanuddin (0000-0002-3253-7721, State University of Malang), Ali Ma’sum (State University of Malang), Nur ANISAH RIDWAN (0000-0001-6714-4429, State University of Malang)
Year2020
Volume8
Issue3
Pages920-927
Publication date2020-06-17
Open AccessYes
TypeARTICLE
VenueHumanities & Social Sciences Reviews (JOURNAL)
Journal identifiersISSN: 2395-6518 • E-ISSN: 2395-6518
PublisherMaya Global Education Society (PUBLISHER)
DOI10.18510/hssr.2020.8396
OpenAlexW3036745346
LanguageEN
References cited17

Purpose: This study was designed to unveil Arabic corpus written in the Indonesian undergraduate thesis abstracts. Methodology: Experimental and descriptive approaches were employed to elicit data which were in the forms of isim (noun), fi’il (verb), concordances, and idioms collected from 59 thesis abstracts written by undergraduate students of Universitas Negeri Malang UIN Maulana Malik Ibrahim Malang, both are state-owned universities based in East Java, Indonesia. Principal Findings: The results of this study informed that two steps were carried out to craft an Arabic corpus for undergraduate theses, such as enacting need analysis and designing the model of Arabic corpus. Furthermore, this study also uncovered that the main page of the corpus website was concordances and word frequency. Implications/Applications: If in the context of translating the Qur'an into English only, for example, there is not yet a parallel corpus model of the Qur'an. Furthermore, similar models in other languages, such as the Indonesian context are possible. Novelty/Originality of this study: This research is the first step towards the formation of the first model of the parallel Qur'an corpus and its translation in the Indonesian language. Besides, this model can later be used as a reference for the preparation of other identical corpus models in the context of bilingual bodies or more for the benefit of translation research

Arabic · Indonesian · Linguistics · Natural language processing · Noun · Originality · Qualitative research · Sociology · Arabic Language Education Studies · Computer Science · History · Natural Language Processing Techniques · Second Language Acquisition and Learning · Artificial Intelligence

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Highly citedNo

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