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When Student Translators Meet with Machine Translation: The Impacts of Machine Translation Quality and Perceived Self-Efficacy on Post-Editing Performance
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Xinyang Peng; Xiangling Wang; Xiaoye Li – SAGE Open, 2024
Machine translation post-editing (MTPE) is a process where humans and machines meet. While previous researchers have adopted psychological and cognitive approaches to explore the factors affecting MTPE performance, little research has been carried out to simultaneously investigate the post-editors' cognitive traits and the post-editing task…
Descriptors: Foreign Countries, Undergraduate Students, Translation, English (Second Language)
Neural Machine Translation in EFL Classrooms: Learners' Vocabulary Improvement, Immediate Vocabulary Retention and Delayed Vocabulary Retention
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Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)