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All Journal Afshaha: Jurnal Bahasa dan Sastra Arab CMES (Center of Middle Eastern Studies)
Nilna Dati Layyina
Universitas Sebelas Maret
Humanities Languange, Linguistic, Communication & Media

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Strategy and Quality of Translation of Nusantara Culinary Terms from Indonesian into Arabic Muhamad Saiful Mukminin; Hidayat Muhammad Sidiq; Fakhimatul Usroh; Nilna Dati Layyina; Yunia Makin Aninda Fiqrotin Nisa'; Muhammad Yunus Anis
CMES (Center of Middle Eastern Studies) Vol 15, No 1 (2022)
Publisher : Arabic Literature Department

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/cmes.15.1.55004

Abstract

The development of the Nusantara culinary industry throughout the world shows that Nusantara culinary products are a prospective business opportunity. The presence of Nusantara culinary as a business opportunity in the world requires an understanding of culinary terms in promoting Nusantara culinary terms. One of the areas that makes Nusantara culinary a culinary business opportunity is the Middle East region. The massive use of Arabic in the Middle East requires the equivalent of Nusantara culinary terms in Arabic as well. This requires a translation process between Indonesian and Arabic. This study describes the strategy of translating Indonesian-Arabic Nusantara culinary terms. Data were collected from various corpus of data in the form of 3 Indonesian-Arabic dictionaries and 1 internet page source. The findings of the translation strategy are in the form of 204 data on the translation of three types of Indonesian-Arabic Nusantara culinary terms. The findings of the syntactic strategy there are 4 types of syntactic translation strategies applied, namely literal translation of 17 (8.5%) data, 17 (8.5%), borrowing of 17 (8.5%), unit shifting 160 (80%), and changing the phrase structure 6 (3%) data. There is only one type of semantic strategy application, namely hyponyms as much as 82 (40%) data. The implementation of the pragmatic strategy found two strategies, namely cultural filtering of 11 (5.4%) data and changing of information as much as 8 (3.9%) data. The results of the assessment of the quality of the translation of the Nusantara culinary term obtained a level of accuracy that is less accurate, acceptability is less acceptable, and legibility is legible.
COVID-19 PANDEMIC TERMS FORMATION IN ARABIC VOCABULARY ON THE DICTIONARY OF COVID-19 TERMS: LEXICOLOGICAL STUDIES Muhamad Saiful Mukminin; Khoirunnisa Rahmawati; Nilna Dati Layyina
Afshaha: Jurnal Bahasa dan Sastra Arab Vol 3, No 2 (2024): Afshaha:Jurnal Bahasa dan Sastra Arab
Publisher : Faculty of Humanities UIN Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/afshaha.v3i2.23535

Abstract

In linguistic studies, especially lexicology, the existence of the Covid-19 Pandemic has contributed to the formation of linguistic terms. This study aims to describe the formation process of Covid-19 pandemic terms in English and Arabic. Data were collected from primary data sources, i.e. Dictionary of Covid-19 Terms. This research is a qualitative research with descriptive method. This research is a qualitative research with descriptive method. Data collection was carried out using the reading and note-taking technique. The data analysis used adopted an interactive data analysis model that consists of data reduction, data presentation, and conclusion/verification. The results of this study are 188 data of Covid-19 Pandemic terms in English and Arabic formed through two variants. The single variant consists of foreign term translation as much as 111 (61%) data, Arabic vocabulary as much as 62 (34.1%) data, adoption as much as 4 (2.2%) data, composition as much as 3 (1.6%) data, adaptation as much as 1 (0.5%) data, and acronymization as much as 1 (0.5%) data. The couplet variants consist of a combination of foreign term translation and adaptation combination as much as 3 (50%) data, translation of foreign terms and abbreviation as much as 1 (16.7%) data, composition and abbreviation as much as 1 (16.7%) data, and composition and adaptation as much as 1 (16.7%) data.
Co-Authors Fakhimatul Usroh Hidayat Muhammad Sidiq Khoirunnisa Rahmawati Muhamad Saiful Mukminin Muhammad Yunus Anis Yunia Makin Aninda Fiqrotin Nisa'