Hangzhou Normal University 2024 University-Level Funded Project for Teaching Development and Reform “Re-form of the Teaching Model of Translation Technology Courses for Undergraduate Translation Majors Based on the AI+MTPE Model”.
Abstract
This paper empirically evaluates the effectiveness of a post-editing course built on the Post-Editing Competence Model for Undergraduate Translation Students. Using a pretest–posttest design with 26 translation majors and a follow-up questionnaire, the study finds that the course significantly improved overall post-editing competence, especially in cultural competence, basic technical competence, machine translation knowledge, and revision ability. However, pre-editing ability, post-editing knowledge, and linguistic competence showed no significant improvement. This paper verifies the competence model and provides targeted teaching improvement suggestions for future courses.
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