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政大機構典藏 > 學術期刊 > 臺灣英語教學期刊 THCI > 期刊論文 > Item 140.119/160058

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/160058

Title:	A Multifaceted Exploration of AI-Powered Google Translate Usage and Post-Editing Training Effects
Authors:	Lin, Yen-Yu
Contributors:	臺灣英語教學期刊
Keywords:	machine translation;L2 writing;post-editing;revision
Date:	2025-10
Issue Date:	2025-10-31 09:47:48 (UTC+8)
Abstract:	This study investigated the impact of using machine translation (MT) and post-editing training on the revision process of thirty intermediate-level EFL learners through a single-group pre-post design. The participants identified specific grammar and semantic errors in texts generated by Google Translate (GT) during the post-editing training. Before and after the training, the students translated their L1 writing into L2 without using GT and then edited their L2 writings by comparing them with the GT translations. Data were collected from various sources, including writing outcomes, screen recordings, perception surveys, and interviews. The results showed that there was a significant difference in word length and word diversity between students’ revised texts and L2 texts in both the pretest and posttest. In addition, the error rates in the posttest were much lower than those in the pretest. Moreover, the content similarity rate was found to negatively correlate with the error rates in students’ revised texts. The survey revealed that students expressed moderate to high satisfaction with the overall quality of texts generated by GT. The study presents implications for utilizing MT as a support for EFL students’ writing along with discussing ways for EFL teachers to incorporate MT into the classroom given its increasing demand.
Relation:	臺灣英語教學期刊, 22(2), 33-66
Data Type:	article
DOI 連結:	https://doi.org/10.30397/TJTESOL.202510_22(2).0002
DOI:	10.30397/TJTESOL.202510_22(2).0002
Appears in Collections:	[臺灣英語教學期刊 THCI] 期刊論文

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