On Building a Bilingual Terminology Corpus from the Perspective of Human-machine Collaborative Translation
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| Publicado en: | The Educational Review, USA vol. 9, no. 7 (2025), p. 658-664 |
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Hill Publishing Group Inc
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| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 022 | |a 2575-7938 | ||
| 022 | |a 2575-7946 | ||
| 024 | 7 | |a 10.26855/er.2025.07.005 |2 doi | |
| 035 | |a 3245448588 | ||
| 045 | 2 | |b d20250701 |b d20250731 | |
| 100 | 1 | |a Wei, Jiameng |u School of Foreign Language, Wuhan Business University, Wuhan 430118, Hubei, China | |
| 245 | 1 | |a On Building a Bilingual Terminology Corpus from the Perspective of Human-machine Collaborative Translation | |
| 260 | |b Hill Publishing Group Inc |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The rapid advancements in artificial intelligence and large language models have significantly improved the quality of machine translation, profoundly influencing not only professional translation workflows but also driving pedagogical innovation in translation teaching at the higher education level. However, the ongoing issue of terminological and conceptual inaccuracies in current machine translation systems highlights the need for further refinement. Given the centrality of terminology in academic discourse, ensuring accuracy in terminological translation is essential for facilitating effective scholarly communication. This paper seeks to propose a methodological framework for the systematic extraction of bilingual terminological data to support the development of specialized corpora, with a particular focus on the social sciences and humanities. The primary aim is to maintain terminological precision and conceptual consistency while ensuring strong contextual alignment. Additionally, the paper aims to design an innovative teaching model to equip translation students with the technical skills required to create discipline-specific bilingual terminology databases, addressing a critical competency gap in the contemporary language services industry. | |
| 651 | 4 | |a China | |
| 653 | |a Teaching | ||
| 653 | |a Students | ||
| 653 | |a Collaboration | ||
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| 653 | |a Higher education | ||
| 653 | |a Service industries | ||
| 653 | |a Academic discourse | ||
| 653 | |a Social sciences | ||
| 653 | |a Editing | ||
| 653 | |a Phonetics | ||
| 653 | |a Educational attainment | ||
| 653 | |a Translation instruction | ||
| 653 | |a Language | ||
| 653 | |a Accuracy | ||
| 653 | |a Machine translation | ||
| 653 | |a Chinese history | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Technology education | ||
| 653 | |a Terminology | ||
| 653 | |a Bilingualism | ||
| 653 | |a Language modeling | ||
| 653 | |a Scholarly communication | ||
| 653 | |a Databases | ||
| 653 | |a Models | ||
| 653 | |a Humanities | ||
| 653 | |a Innovations | ||
| 653 | |a Translation | ||
| 653 | |a Extraction | ||
| 653 | |a Technical skills | ||
| 653 | |a Academic writing | ||
| 653 | |a Literature Reviews | ||
| 653 | |a Phonetic Transcription | ||
| 653 | |a Glossaries | ||
| 653 | |a Professional Education | ||
| 653 | |a Database Management Systems | ||
| 653 | |a Engines | ||
| 653 | |a Group Unity | ||
| 653 | |a Competence | ||
| 653 | |a Proofreading | ||
| 653 | |a Instructional Innovation | ||
| 653 | |a Educational Resources | ||
| 653 | |a Influence of Technology | ||
| 653 | |a Curriculum Design | ||
| 653 | |a Database Design | ||
| 653 | |a Educational Technology | ||
| 653 | |a Service Occupations | ||
| 653 | |a Teaching Models | ||
| 653 | |a Data Analysis | ||
| 653 | |a Educational Trends | ||
| 700 | 1 | |a Li, Yi |u School of Foreign Language, Wuhan Business University, Wuhan 430118, Hubei, China | |
| 773 | 0 | |t The Educational Review, USA |g vol. 9, no. 7 (2025), p. 658-664 | |
| 786 | 0 | |d ProQuest |t Education Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3245448588/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3245448588/fulltext/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3245448588/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch |