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Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student
This article reports on an experiment on the use of data-driven learning (DDL) in the revision of self-translation by a Chinese medical student. The think-aloud method is employed to investigate the difficulties the student encountered in self-translation and the effectiveness of DDL in improving th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986535/ https://www.ncbi.nlm.nih.gov/pubmed/36891202 http://dx.doi.org/10.3389/fpsyg.2023.1071123 |
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author | Lyu, Ying Han, Ziman |
author_facet | Lyu, Ying Han, Ziman |
author_sort | Lyu, Ying |
collection | PubMed |
description | This article reports on an experiment on the use of data-driven learning (DDL) in the revision of self-translation by a Chinese medical student. The think-aloud method is employed to investigate the difficulties the student encountered in self-translation and the effectiveness of DDL in improving the quality of self-translation. Results show that difficulties in the self-translation of medical abstracts are mostly associated with markers of rhetorical moves, terminologies, and conventional academic expressions and that they can be effectively solved by such corpus consultation strategies as checking possible options in bilingual dictionaries, using the most certain keywords to find collocations, and using the most possible accompanying words to find contexts. A comparison of translations before and after the application of DDL reveals that it could help improve translation quality in lexical choices, syntactic structures, and discourse practice. An immediate interview shows that the participant holds a positive attitude toward DDL. |
format | Online Article Text |
id | pubmed-9986535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99865352023-03-07 Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student Lyu, Ying Han, Ziman Front Psychol Psychology This article reports on an experiment on the use of data-driven learning (DDL) in the revision of self-translation by a Chinese medical student. The think-aloud method is employed to investigate the difficulties the student encountered in self-translation and the effectiveness of DDL in improving the quality of self-translation. Results show that difficulties in the self-translation of medical abstracts are mostly associated with markers of rhetorical moves, terminologies, and conventional academic expressions and that they can be effectively solved by such corpus consultation strategies as checking possible options in bilingual dictionaries, using the most certain keywords to find collocations, and using the most possible accompanying words to find contexts. A comparison of translations before and after the application of DDL reveals that it could help improve translation quality in lexical choices, syntactic structures, and discourse practice. An immediate interview shows that the participant holds a positive attitude toward DDL. Frontiers Media S.A. 2023-02-20 /pmc/articles/PMC9986535/ /pubmed/36891202 http://dx.doi.org/10.3389/fpsyg.2023.1071123 Text en Copyright © 2023 Lyu and Han. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Lyu, Ying Han, Ziman Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student |
title | Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student |
title_full | Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student |
title_fullStr | Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student |
title_full_unstemmed | Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student |
title_short | Applying data-driven learning in self-translation of academic discourse: A case study of a Chinese medical student |
title_sort | applying data-driven learning in self-translation of academic discourse: a case study of a chinese medical student |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986535/ https://www.ncbi.nlm.nih.gov/pubmed/36891202 http://dx.doi.org/10.3389/fpsyg.2023.1071123 |
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