Metadiscourse in Academic English Texts

A Corpus-driven probe into British Academic Written English Corpus

Dados Bibliográficos

ID12866247
AutoresMehrdad Vasheghani Farahani (0000-0001-7665-2054, Leipzig University, autor correspondente)
Ano2019
Fascículo34
Páginas56-73
Data de publicação2019-06-03
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoStudies About Languages (JOURNAL)
Identificadores do periódicoISSN: 1648-2824 • E-ISSN: 2029-7203
EditoraKaunas University of Technology (KTU) (PUBLISHER)
DOI10.5755/j01.sal.0.34.21816
OpenAlexW2954112089
IdiomaEN
Citações recebidas1
Referências citadas14

This paper reports on a research performed in the field of corpus linguistics on metadiscourse features in the British Academic Written English Corpus. For this purpose, the British Academic Written English Corpus, which is freely available and contains 6,968,089 words, was selected as the data resource of the study. The taxonomy of metadiscourse features compiled by Hyland was used as the theoretical framework and the R program was used as the statistical software. The whole corpus was analyzed. As the data can show, the interactive metadiscourse features were more prevalent than the interactional metadiscourse features. In the interactive category, transitions and endophoric markers were used more than other ones; whereas, in the interactional category, hedges and boosters were the predominant metadiscourse features. The prevalence nature of interactive metadiscourse features can add support to the idea that writers were more interested in organizing discourse rather than conducting interaction. The findings of this research can have useful implications for researchers in such fields as contrastive analysis, text linguistics and corpus-based studies

Applied linguistics · Biology · British National Corpus · Computational linguistics · Corpus linguistics · Field (mathematics · Linguistics · Metadiscourse · Natural language processing · Taxonomy (biology · Computer Science · Discourse Analysis in Language Studies · Language, Metaphor, and Cognition · linguistics and terminology studies · Mathematics · Psychology · Artificial Intelligence