Pengaplikasian Laman Korpus Kosakata Industri Bahasa Mandarin untuk Meningkatkan Kompetensi Penerjemah di Dunia Industri
Kata Kunci:
Mandarin Language Corpus, Industrial Vocabulary, Translation, Technical Terminology, Digital Corpus TechnologyAbstrak
The dynamics of investment and industry between Indonesia and China have created an urgent need for translators who master specific technical vocabulary. Conventional resources such as dictionaries are often unable to bridge the gap between academic competence and the actual demands of the industrial world. This research aims to develop and apply the industrial Mandarin vocabulary corpus website yinnizhong-hyk.com as an innovative solution to enhance translator competence in the industrial sector. Using a Research and Development (R&D) approach with descriptive qualitative methods, data was collected through documentation studies of student Final Projects and internship reports (2021-2024), field observations, and interviews with 8 industry partners. A total of 4,221 curated vocabulary items were integrated into the digital corpus. The yinnizhong-hyk.com corpus website was successfully developed with search features using pinyin, hanzi, or meaning. The application of the corpus has proven to enhance translator competence in: (1) Thematic Competence through the provision of industry-context-specific term equivalents, and (2) Instrumental Competence through the efficient utilization of digital corpus technology. The industry-authentic data-based corpus website is an effective tool for improving translator competence. The implementation and continuous development of such a corpus is recommended for integration into vocational education ecosystems and professional translation practice.
Keywords: Mandarin Corpus; Industrial Translation; Translator Competence; Technical Vocabulary; Authentic Industrial Data
Referensi
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https://www.bps.go.id/id/statistics-table/2/MTg0MyMy/realisasi-investasi-penanaman-modal-luar-negeri-menurut-negara.html (accessed on: Tuesday, July 15, 2025 at 22:52)
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