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All Journal VIVID Journal of Language and Literature SeBaSa: Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Sastra Indonesia Titian: Jurnal Ilmu Humaniora Proceedings of International Conference on Da'wa and Communication FOSTER: Journal of English Language Teaching Lexeme : Journal of Linguistics and Applied Linguistics International Journal of English and Applied Linguistics (IJEAL) Proceeding International Conference on Malay Identity Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Metathesis: Journal of English Language, Literature, and Teaching
Nasution, Muhammad Muslim
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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The Accuracy of ChatGPT in Translating Colloquial Terms in Dawan Language Aprianti, Iis; Rahayu, Yoni; Dinamika, Soraya Grabiella; Nasution, Muhammad Muslim
FOSTER: Journal of English Language Teaching Vol. 6 No. 2 (2025): FOSTER JELT
Publisher : Faculty of Education and Teacher Training of IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/foster-jelt.v6i2.251

Abstract

ChatGPT, a multilingual translation application has made intercultural conversation simpler including local language. However, ChatGPT's translation accuracy should be reviewed due to limits in recognizing domain-specific terms and cultural context. The aim of this study is to find out the translation accuracy of ChatGPT in translating colloquial terms in Dawan language. This study used qualitative method. The participants of this study were from the sixth semester English department students of University of Timor. The data source of this study was the translation result in Dawan into Indonesian language. While, the data of this study are ChatGPT’s translation result obtained from students’ word list from Dawan into Indonesian language. The result of the analysis showed showed that ChatGPT performs relatively well in translating basic vocabulary and common expressions, with 60% of the translations deemed accurate. However, the tool demonstrated significant limitations in handling culturally embedded and context-dependent terms.
Co-Authors AR, Mhd. Faisal Abadi Berutu, Hotma Dalimunte, Apip Gunaldi Daulay, Sholihatul Hamidah Fahlevi, Sahrizal Iis Aprianti Izar, Julisah Izar, Sri Listiana Julisah Izar Khasanah, Desi Nur Mahliza Nasution Putri, Yuliani Eka Rahayu, Yoni Ratnasari, Mie Rengki Afria Rizky Vita Losi Rosida, Sisi Sholihah, Mar’atun Siregar, Isrina Soraya Grabiella Dinamika Utami Dewi Vahlepi, Sahrizal Yuliana, Yessa