genre-based analysis of english and persian research article abstracts in mining engineering journals

Clicks: 224
ID: 195970
2017
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
The current research aimed to explore the rhetorical moves in abstracts of English and Persian Mining Engineering research articles. For this purpose, 60 abstracts written by native speakers of English and Persian were analyzed based on Hyland’s (2000) model of five rhetorical moves to explore the pattern of moves in abstract sections. Findings suggested that there were four conventional moves in abstracts in the English corpus (PMPrC), while there were five conventional moves in abstracts in the Persian corpus (IPMPrC). Results of statistical analyses show that there was a statistically significant difference in Purpose move in the two dataset. However, there were not any significance differences in the use of other moves such as product, method, and conclusion moves in the corpora. Keyword: Abstract, Genre, Move pattern, Mining Engineering
Reference Key
farzannia2017beyondgenre-based Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Sara Farzannia;Maryam Farnia
Journal eurocorr 2017 - the annual congress of the european federation of corrosion, 20th international corrosion congress and process safety congress 2017
Year 2017
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.