Exploring AI-Enhanced Learning Model for Developing Students’ Translation Technology Competency

© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )

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Abstract

AI-driven innovations in translation technology are transforming the landscape of translation education. This study examines how AI enhances translation teaching, with a particular focus on improving students’ competency in building bilingual corpus construction. This research aims to guide students in collecting bilingual terminological data and building specialized corpora. The proposed approach seeks to ensure the accuracy, consistency, and contextual appropriateness of term and concept translation, offering practical insights for advancing translation teaching in the age of AI.

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