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STUDENTS’ PERCEPTIONS OF THE USE OF DEEPL TRANSLATOR IN TRANSLATING ACADEMIC TEXT FROM INDONESIAN INTO ENGLISH

BELTIC Journal · Vol. 2 No. 1 (2024) · hlm. 29–36

Terbit
2024-04-30
Penerbit
Universitas Islam Negeri Sunan Gunung Djati Bandung
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

The purpose of this research was to determine students' perceptions of using DeepL Translator to translate academic texts from Indonesian into English. DeepL Translator is an artificial intelligence (AI)-based translation tool that uses neural machine translation (NMT) technology to translate text between various languages. This research involved 2021 students from Sunan Gunung Djati State Islamic University Bandung who took the Education Translation course. This research employs a case study design and qualitative methods. Interviews and document analysis were the methods used to get data. This research investigates the phenomena surrounding using DeepL Translator in Education Translation classes through in-depth interviews. Purposive sampling was used in the research for sample selection. Three students were chosen as respondents to participate in interviews and document analyses. This research indicates that using DeepL Translator to translate academic texts from Indonesian into English has a positive impact. After using DeepL Translator, students feel helped and can improve the quality of student translations. Since the results of document analysis are given to students, students can pay attention to the quality of translated text from Indonesian into English by completing this research. Furthermore, lecturers are expected to be able to use translation machines such as DeepL Translator in translation classes as a learning medium, following technological developments and strengthening students' translation skills.

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Nia KurniawatiAfiliasi tidak diketahui3
SajidinAfiliasi tidak diketahui2
Rully Agung YudhiantaraAfiliasi tidak diketahui2
Joni FebriansyahAfiliasi tidak diketahui1
Ardheka NurhakimAfiliasi tidak diketahui1
Hilwatun NisaaAfiliasi tidak diketahui1
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Meli AgustinAfiliasi tidak diketahui1
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Darwis Jauhari BanduAfiliasi tidak diketahui1
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Tedi RohadiAfiliasi tidak diketahui1
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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.uinsgd.ac.id/index.php/belticjournal/oai, pertama di-harvest 7 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">STUDENTS’ PERCEPTIONS OF THE USE OF DEEPL TRANSLATOR IN TRANSLATING ACADEMIC TEXT FROM INDONESIAN INTO ENGLISH</dc:title>
	<dc:creator>Rustika, Pupung</dc:creator>
	<dc:creator>Siswayani, Predari</dc:creator>
	<dc:creator>Bandu, Darwis Jauhari</dc:creator>
	<dc:subject xml:lang="en-US">Translation</dc:subject>
	<dc:subject xml:lang="en-US">Machine Translation</dc:subject>
	<dc:subject xml:lang="en-US">Academic Text</dc:subject>
	<dc:subject xml:lang="en-US">DeepL Translator</dc:subject>
	<dc:description xml:lang="en-US">The purpose of this research was to determine students' perceptions of using DeepL Translator to translate academic texts from Indonesian into English. DeepL Translator is an artificial intelligence (AI)-based translation tool that uses neural machine translation (NMT) technology to translate text between various languages. This research involved 2021 students from Sunan Gunung Djati State Islamic University Bandung who took the Education Translation course.
This research employs a case study design and qualitative methods. Interviews and document analysis were the methods used to get data. This research investigates the phenomena surrounding using DeepL Translator in Education Translation classes through in-depth interviews. Purposive sampling was used in the research for sample selection. Three students were chosen as respondents to participate in interviews and document analyses.
This research indicates that using DeepL Translator to translate academic texts from Indonesian into English has a positive impact. After using DeepL Translator, students feel helped and can improve the quality of student translations.
Since the results of document analysis are given to students, students can pay attention to the quality of translated text from Indonesian into English by completing this research. Furthermore, lecturers are expected to be able to use translation machines such as DeepL Translator in translation classes as a learning medium, following technological developments and strengthening students' translation skills.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Islam Negeri Sunan Gunung Djati Bandung</dc:publisher>
	<dc:date>2024-04-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.uinsgd.ac.id/index.php/belticjournal/article/view/48066</dc:identifier>
	<dc:source xml:lang="en-US">BELTIC Journal; Vol. 2 No. 1 (2024): BELTIC Journal; 29-36</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/belticjournal/article/view/48066/16321</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Journal of Breakthrough English Language Teaching in Islamic Context</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>