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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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A Corpus-Based Study of Academic Writing Patterns Among EFL Learners

Authors: Laiba Sarfraz; Faiza Afzal; Subhan Habib; Dr. Abrar Hussain Qureshi;

A Corpus-Based Study of Academic Writing Patterns Among EFL Learners

Abstract

Abstract English as a Foreign Language (EFL) learners face persistent challenges in producing academically acceptable written texts. While pedagogical interventions exist, empirical evidence on systematic patterns of lexico-grammatical and rhetorical features in learner corpora remains limited. This study investigates the academic writing patterns of Saudi EFL learners at the university level, focusing on lexical bundles, collocational errors, and rhetorical organization. A specialized corpus of 200 argumentative essays (approximately 85,000 words) was compiled from intermediate to advanced EFL learners. Using AntConc and LancsBox, frequency lists, keyword analysis, and concordance lines were generated. The corpus was compared against the British Academic Written English (BAWE) corpus as a reference. Findings reveal three dominant patterns: (1) over-reliance on high-frequency lexical bundles (e.g., on the other hand, as a result, in my opinion), often misused in formal contexts; (2) significant collocational deviations, particularly verb-noun (e.g., make a research instead of do/conduct research) and adjective-noun combinations: and (3) rhetorical patterns showing topic-fronting and informal discourse markers absent in native academic writing. EFL learners systematically transfer spoken discourse features and L1 rhetorical structures into academic writing. The study recommends explicit corpus-informed instruction targeting collocational precision and register awareness.

Related Organizations
Keywords

corpus linguistics, academic writing, EFL learners, learner corpus research, lexical bundles, collocational errors

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average