Identifying academic phrases in self-compiled corpora: A case study from mathematical sciences
Multi-word combinations are a key component of a variety of academic genres. Student writers thus need to master control of these expressions to communicate effectively in their specific contexts. However, multi-word patterns often present a challenge to students at various levels of academic study....
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Liverpool University Press
2025-03-01
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| Series: | International Journal of English for Academic Purposes |
| Subjects: | |
| Online Access: | http://www.liverpooluniversitypress.co.uk/doi/10.3828/ijeap.2025.4 |
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| Summary: | Multi-word combinations are a key component of a variety of academic genres. Student writers thus need to master control of these expressions to communicate effectively in their specific contexts. However, multi-word patterns often present a challenge to students at various levels of academic study. This paper reports on a case study exploring how a data-driven learning approach drawing on self-compiled corpora can enhance student writing in preparation for their doctoral study at a British university. The participant was an international student in mathematical sciences who utilized a self-build corpus throughout a ten-week pre-sessional programme to acquire and incorporate multi-word expressions in their writing. The effectiveness of this approach was investigated through a ‘talk around text’ technique in an interview on completion of the pre-sessional programme. The findings show that a self-compiled corpus is a valuable resource for students mastering writing in specific disciplinary contexts. This article was published open access under a CC BY-NC-ND licence: https://creativecommons.org/licenses/by-nc-nd/4.0/. |
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| ISSN: | 2634-4610 |