Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal ABISATYA: Journal of Community Engagement
Nuratri, Ruth Kiana
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Physics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Pengaplikasian Laman Korpus Kosakata Industri Bahasa Mandarin untuk Meningkatkan Kompetensi Penerjemah di Dunia Industri Nuratri, Ruth Kiana; Kusumaningtyas, Dani Putri Septi; Rahayu, Kristina Indah Setyo; Hasel, Clarosa Amanda; Sandyaningrum, Juairiah Nastiti
ABISATYA : Journal of Community Engagement Vol. 3 No. 2 (2025): ABISATYA: Journal of Community Engagement
Publisher : Center for Community Service and Science and Technology Marketing - The Institute for Research and Community Service Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Mandarin language corpus has become an essential resource for enhancing translator competence, particularly amid the growing industrial cooperation between Indonesia and China. The availability of technical vocabulary sources remains limited, creating a gap between academic proficiency and the demands of professional translation in industry. This community service program aims to develop an online corpus of Mandarin industrial vocabulary as an effort to provide standardized terminology resources based on authentic data. The implementation methods include mapping user needs, collecting vocabulary from 30 undergraduate theses and student internship reports from 2021–2024, developing the digital platform, and conducting training on its use. A total of 4,221 vocabulary items were compiled and integrated into the corpus, equipped with search features based on hanzi, pinyin, and definitions. The results show that the corpus platform improves the accuracy of technical document translation, accelerates terminology retrieval, and strengthens both thematic and instrumental competencies of translators. This digital corpus has proven effective in supporting translation needs in academic and industrial settings.
Co-Authors Hasel, Clarosa Amanda Kristina Indah Setyo Rahayu Kusumaningtyas, Dani Putri Septi Sandyaningrum, Juairiah Nastiti