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Corpus- assisted Translation Learning: Attitudes and Perceptions of Novice Translation Students

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Abstract

Technological competence has become critical for translators to keep abreast of the ever growing translation markets and the rapid advancement of technology. Translation trainers are advocated to focus more on technological issues to prepare future professional translators. Surprisingly, the recent study by Rico Pérez and García Aragón (2016) reported that many translators still prefer traditional offline tools or even use no computer-assisted translation tools. It is therefore necessary to understand what impedes or promotes translator trainees’ adoption of corpora in their translation learning so as to improve future pedagogical design of translation training. Based on a large-scale online parallel corpus, this study aims to explore the potential facilitative and obstructive factors for routinizing corpus use in translation learning from translation trainees’ perspectives. Twenty-nine English majors in a Hong Kong university participated in the study, in which students’ attitudes towards using the corpus, their searching history retrieved from the corpus, as well as the post-training survey results are analysed. Findings revealed translation trainees’ evaluations of using the corpus in translation learning and indicated the possible facilitative factors and obstructive factors for routinizing corpus use in translation learning.

Original languageEnglish
Title of host publicationAdvances in Techno-Humanities: Case Studies from Culture, Philosophy and the Arts
EditorsKin-wah MAK
Place of PublicationLondon
PublisherRoutledge
Chapter6
Pages76-92
Number of pages17
Edition1
ISBN (Electronic)9781000970197, 9781003376491
ISBN (Print)9781032453255
DOIs
Publication statusPublished - 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 selection and editorial matter, Mak Kin- wah; individual chapters, the contributors.

Funding

This research was supported by the University Grants Committee of Hong Kong under the Competitive Research Funding Schemes for the Local Self-financing Degree Sector (UGC/ FDS15/H11/17).

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