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Translation Errors in Undergraduate Scientific Writings

A Corpus-Based Study

Dados Bibliográficos

ID22193571
AutoresRoswani Siregar (0000-0002-7648-3016), Heni Subagiharti (0009-0005-6187-059X), Diah Syafitri Handayani (0009-0009-2153-9367), Sutarno Sutarno (0000-0003-0953-5901), Farida Hariani (0009-0007-7558-9840), Liesna Andriany (0000-0003-1446-1310)
Ano2025
Volume9
Fascículo1
Páginas1-10
Data de publicação2025-06-07
Open AccessSim
TipoARTICLE
PeriódicoLANGUAGE LITERACY Journal of Linguistics Literature and Language Teaching (JOURNAL)
Identificadores do periódicoISSN: 2580-8672 • E-ISSN: 2580-9962
EditoraUniversitas Islam Sumatera Utara (PUBLISHER)
DOI10.30743/ll.v9i1.10252
OpenAlexW4412066093
IdiomaEN

This study investigates translation errors found in 100 undergraduate thesis abstracts sourced from five Indonesian universities, with particular attention to syntactic, semantic, and miscellaneous error types. The data were collected from institutional online repositories, and all identifying information related to the authors was removed to ensure anonymity. Only the main bodies of the abstracts were used as the corpus for analysis. The findings reveal that the majority of errors fall under the syntactic category, including incorrect use of tenses, prepositions, and punctuation. Semantic errors, such as literal translations, meaning deviations, and unnecessary additions, were also frequently observed. These errors largely stem from students’ limited understanding of English grammar and translation strategies. The study highlights the importance of strengthening translation competence in undergraduate curricula. By systematically identifying and analyzing these common errors, the research provides valuable insights for improving the teaching of academic translation and suggests the integration of targeted translation materials in English language instruction at the tertiary level

Linguistics · Natural language processing · Chemistry · Computer Science · Natural Language Processing Techniques · Philosophy · Text Readability and Simplification · Translation Studies and Practices · Artificial Intelligence

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