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The Educational Review, USA

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ArticleOpen Access http://dx.doi.org/10.26855/er.2025.07.005

On Building a Bilingual Terminology Corpus from the Perspective of Human-machine Collaborative Translation

Jiameng Wei, Yi Li*

School of Foreign Language, Wuhan Business University, Wuhan 430118, Hubei, China.

*Corresponding author: Yi Li

This paper was supported by the research project from Wuhan Business University (Grant No. 2023N013) and the College Students’ Innovative Entrepreneurial Training Plan Program of Wuhan Business University (Grant No. 202411654162).
Published: August 18, 2025

Abstract

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.

Keyword

Machine translation; Translation of terminology; CAT; Corpus

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Copyright

© 2025 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
https://creativecommons.org/licenses/by-nc-nd/4.0/

How to cite this paper

On Building a Bilingual Terminology Corpus from the Perspective of Human-machine Collaborative Translation

How to cite this paper: Jiameng Wei, Yi Li. (2025). On Building a Bilingual Terminology Corpus from the Perspective of Human-machine Collaborative Translation. The Educational Review, USA9(7), 658-663.

DOI: http://dx.doi.org/10.26855/er.2025.07.005