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https://doi.org/10.31235/osf.i...
Article . 2019 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Arab World English Journal
Article . 2019 . Peer-reviewed
Data sources: Crossref
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SSRN Electronic Journal
Article . 2019 . Peer-reviewed
Data sources: Crossref
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Interactional Metadiscourse Markers in the Abstract Sections of Arabic Patents

Authors: Arab World English Journal; Manal Mahmoud Alzarieni; Intan Safinaz Zainudin; Norsimah Mat Awal; Mohamed Zain Sulaiman;

Interactional Metadiscourse Markers in the Abstract Sections of Arabic Patents

Abstract

This study aims to investigate interactional metadiscourse markers (IMDMs) in 60 patent abstracts written in Arabic by Arabic-native drafters within the field of human necessity. Specifically, the objectives are to identify which categories of IMDMs are predominant in Arabic patent abstract and to explain how metadiscourse markers function in these abstracts. To achieve these objectives, data were analyzed quantitatively to count the frequency of IMDMs, and qualitatively to examine the functions of these markers within Arabic patent abstracts based on Hyland’s model (2005). The results indicate that boosters, hedges and attitude markers are the most frequently employed markers while the remaining categories show a low frequency of occurrence. Moreover, the analysis also reveals that IMDMs fulfill different functions, such as providing data in a truthful manner, avoiding commitment to precise figures and persuasion among others. The findings of this research are useful for Arabic-speaking drafters and novice inventors for a better understanding of IMDMs commonly applied in their patent abstracts. A better understanding of the pragmatic functions of IMDMs can improve not only patent drafting skills, but also the chance for successful patent grants. It is recommended that future research investigate IMDMs within other patent sections such as claims, description, and background among different disciplines in order to achieve better insights of the use of such rhetorical metadiscourse features.

Keywords

bepress|Arts and Humanities|English Language and Literature, English Language and Literature, SocArXiv|Arts and Humanities, Arts and Humanities, bepress|Arts and Humanities, SocArXiv|Arts and Humanities|English Language and Literature

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
4
Top 10%
Average
Average
gold