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Morphosyntactical Analysis of Arabic Loanwords

Authors: Hassan Ali Adrob;

Morphosyntactical Analysis of Arabic Loanwords

Abstract

Beja, the subject of this paper, are people speaking a language called – Bedawiet – in the Red sea Hills in north-eastern of Sudan, (Dahl, 1991). They are in the region for thousands of years along the coast from Egypt to Eretria. The paper emphasizes on the analysis of Arabic loanwords in the Beja language. The work aims at analyzing the morphology of Arabic loanwords to find the changes that have occurred in their presence in Bedawiet and to test how these words are accepted with some degrees of adaptation by techniques used in adopting the words in Bedawiet. Possible explanations speculate the analysis of loanwords of the research problem. Basically, the paper investigates the morphological processes that have applied when Arabic words are borrowed into Bedawiet language. Data is collected from different sources and a descriptive analytical approach is employed in order to address the morphological changes that have been occurring to Arabic loanwords in Bedawiet. In summary, the results of the analyzed data show that Bedawiet has accepted a huge number of nouns and verbs with some modification. During the processes of adaptation, some features of nouns and verbs are lost. A limited number of conjunction and preposition are also in the data; however, the borrowed prepositions shifted to post-positions in the processes according to the rules of Bedawiet. The paper recommended further studies in the acceptance of borrowing preposition as a problematical area.

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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.
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