JOURNAL ARTICLE

Exploring the Process and Strategies of Chinese–English Abstract Writing Using Machine Translation Tools.

  • Published In: Journal of Scholarly Publishing, 2023, v. 54, n. 2. P. 260 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sun, Yu-Chih; Yang, Fang-Ying 3 of 3

Abstract

This study investigates how English as a foreign language (EFL) graduate students use machine translation (MT), specifically Google Translate (GT), alongside translation-friendly writing strategies in composing academic abstracts. Eight Chinese-speaking graduate students employed a back-translation approach—translating abstracts from Chinese to English and back—to identify and revise problematic areas, primarily non-academic expressions, enhancing the quality of their English abstracts. Participants found the MT-friendly strategies effective and reported that MT tools empowered them to engage more confidently in scholarly writing, though they expressed varied ethical concerns about MT use in academic contexts. The findings highlight MT’s transformative impact on EFL academic writing processes and suggest a need to reconsider language instruction goals to include MT literacy and translation-friendly writing skills.

Additional Information

  • Source:Journal of Scholarly Publishing. 2023/04, Vol. 54, Issue 2, p260
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2023
  • ISSN:1198-9742
  • DOI:10.3138/jsp-2022-0039
  • Accession Number:163392693
  • Copyright Statement:Copyright of Journal of Scholarly Publishing is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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