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Arabicization via Loan Translation

A Corpus-based Analysis of Neologisms Translated from English into Arabic in the Field of Information Technology

Bibliographic Data

ID16964460
AuthorsAnwar A H Al-Athwary (0000-0001-9247-2221, Najran University, corresponding author), Husam Khaled Ali (Universiti Sains Malaysia)
Year2024
Volume8
Issue1
Publication date2024-05-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueOpen Cultural Studies (JOURNAL)
Journal identifiersISSN: 2451-3474 • E-ISSN: 2451-3474
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/culture-2024-0005
OpenAlexW4396782581
LanguageEN
References cited26

This study aims to use a corpus-based analysis to examine loan translation (LT) as an Arabicization technique in Written Standard Arabic (WSA) for information technology (IT) and investigate the factors impacting LT formation. Data were collected from four corpora: four Arabic online newspapers, the Microsoft Language Portal, two user manuals, and the Arabic Corpus of King Abdul-Aziz City for Science and Technology (KACST). Four LT strategies were identified: morphosyntactic pattern alteration, literal translation, loan blending, and metaphorical extension. Literal translation occurred in three degrees: full LTs, partial LTs, and non-LTs, through calquing. Metaphors based on functional similarity played a crucial role in understanding and accepting IT terms in WSA. Paradigmatic variation prevailed in LTs, with synonymous variations more common than nonsynonymous ones, and no syntagmatic variation. The KACST analysis showed significant differences in occurrence frequency among LT variants. LT formation and variation were influenced by linguistic factors such as lexical need, semantic transparency, and lexical borrowing, as well as extralinguistic factors such as nationalism and lack of coordination among Arabic language academies. The study concludes with implications for addressing the absence of coordination between these academies and improving IT-related LT quality between English and WSA

Arabic · Biology · Business · Linguistics · Loan · Natural language processing · Neologism · Computer Science · Lexicography and Language Studies · linguistics and terminology studies · Linguistics, Language Diversity, and Identity · Mathematics · Philosophy · Artificial Intelligence · Finance

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