Assessing the effectiveness of machine translation in the Chinese EFL writing context: A replication of Lee (2020). Issue 2 (13th May 2023)

• Record Type: Journal Article
• Authors: Yang, Yanxia; Wei, Xiangqing; Li, Ping; Zhai, Xuesong
• Is Part Of: ReCALL. Volume 35:Issue 2(2023)
• Page Start: 211
• Page End: 224
• Publication Date: 2023-05-13
• Subjects: machine translation -- EFL writing -- Coh-Metrix -- human ratings -- replication; Education -- Great Britain -- Periodicals; Languages, modern -- Periodicals; Language and languages -- Computer-assisted instruction -- Periodicals; Language and languages -- Study and teaching -- Europe -- Periodicals; 418.00785
• DOI: 10.1017/S0958344023000022
• Languages: English
• ISSNs: 0958-3440

Abstract

Abstract: With the dramatic improvement in quality, machine translation has emerged as a tool widely adopted by language learners. Its use, however, has been a divisive issue in language education. We conducted an approximate replication of Lee (2020) about the impact of machine translation on EFL writing. This study used a mixed-methods approach with automatic text analyzer Coh-Metrix and human ratings, supplemented with questionnaires, interviews, and screen recordings. The findings obtained support most of the original work, suggesting that machine translation can help language learners improve their EFL writing proficiency, specifically in strengthening lexical expressions. Students generally hold positive attitudes towards machine translation, despite some skeptical views regarding the values of machine translation. Most students express a strong wish to learn how to effectively use machine translation. Machine translation literacy instruction is therefore suggested for incorporation into the curriculum for language students.