Common grammatical mistakes in the noun in electronic text “a statistic grammatical study”

The Arabic language is facing many unfamiliar linguistic phenomena, such as the phenomenon of spread of grammatical mistakes in applying the syntactic rules applicable to “noun” in the sentence. Therefore, this study aims to monitor the places of grammatical mistakes that the Arabic writers fall in,...

Full description

Saved in:
Bibliographic Details
Main Authors: Ismail, Alanazi Nujud, Abdul Jabar, Mohd Azidan, Mohamad, Ab Halim, Hassan, Abd Rauf
Format: Article
Language:English
Published: Institute of Advanced Scientific Research 2020
Online Access:http://psasir.upm.edu.my/id/eprint/88195/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88195/
https://www.jardcs.org/abstract.php?id=5503
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.88195
record_format eprints
spelling my.upm.eprints.881952022-03-10T07:57:37Z http://psasir.upm.edu.my/id/eprint/88195/ Common grammatical mistakes in the noun in electronic text “a statistic grammatical study” Ismail, Alanazi Nujud Abdul Jabar, Mohd Azidan Mohamad, Ab Halim Hassan, Abd Rauf The Arabic language is facing many unfamiliar linguistic phenomena, such as the phenomenon of spread of grammatical mistakes in applying the syntactic rules applicable to “noun” in the sentence. Therefore, this study aims to monitor the places of grammatical mistakes that the Arabic writers fall in, on the social networking sites, in order to identify the factors contributing to these grammatical mistakes, and to look at the extent of which it affects the readers‟ understanding of the purpose of writing and its impact on the eloquence of the language itself, with the objective of creating a third-party computer program for evaluating the application of grammatical structures in Electronic Text. This study adopts the descriptive and analytical method to collect about 200 Arabic writing data between 2016 and 2018. The SPSS data analysis was also used to extract the most common grammatical errors among the Arab writers on the social networking sites. The study finds that the highest percentage of errors appeared to be the portion of al-Manṣubat, as it reached 45%, while the lowest percentage happened to be the share of al-Majrurat, with total amount of 22%., and that this phenomenon does not constitute a communication gap between the readers and writers and not affect their understanding. Also, that these shortcomings will inevitably affect the eloquence of Arabic language in the future, which may hinder its development and sophistication. Institute of Advanced Scientific Research 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88195/1/ABSTRACT.pdf Ismail, Alanazi Nujud and Abdul Jabar, Mohd Azidan and Mohamad, Ab Halim and Hassan, Abd Rauf (2020) Common grammatical mistakes in the noun in electronic text “a statistic grammatical study”. Journal of Advanced Research in Dynamical and Control Systems, 12 (7 spec.). 29 - 34. ISSN 1943-023X https://www.jardcs.org/abstract.php?id=5503 10.5373/JARDCS/V12SP7/20202079
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The Arabic language is facing many unfamiliar linguistic phenomena, such as the phenomenon of spread of grammatical mistakes in applying the syntactic rules applicable to “noun” in the sentence. Therefore, this study aims to monitor the places of grammatical mistakes that the Arabic writers fall in, on the social networking sites, in order to identify the factors contributing to these grammatical mistakes, and to look at the extent of which it affects the readers‟ understanding of the purpose of writing and its impact on the eloquence of the language itself, with the objective of creating a third-party computer program for evaluating the application of grammatical structures in Electronic Text. This study adopts the descriptive and analytical method to collect about 200 Arabic writing data between 2016 and 2018. The SPSS data analysis was also used to extract the most common grammatical errors among the Arab writers on the social networking sites. The study finds that the highest percentage of errors appeared to be the portion of al-Manṣubat, as it reached 45%, while the lowest percentage happened to be the share of al-Majrurat, with total amount of 22%., and that this phenomenon does not constitute a communication gap between the readers and writers and not affect their understanding. Also, that these shortcomings will inevitably affect the eloquence of Arabic language in the future, which may hinder its development and sophistication.
format Article
author Ismail, Alanazi Nujud
Abdul Jabar, Mohd Azidan
Mohamad, Ab Halim
Hassan, Abd Rauf
spellingShingle Ismail, Alanazi Nujud
Abdul Jabar, Mohd Azidan
Mohamad, Ab Halim
Hassan, Abd Rauf
Common grammatical mistakes in the noun in electronic text “a statistic grammatical study”
author_facet Ismail, Alanazi Nujud
Abdul Jabar, Mohd Azidan
Mohamad, Ab Halim
Hassan, Abd Rauf
author_sort Ismail, Alanazi Nujud
title Common grammatical mistakes in the noun in electronic text “a statistic grammatical study”
title_short Common grammatical mistakes in the noun in electronic text “a statistic grammatical study”
title_full Common grammatical mistakes in the noun in electronic text “a statistic grammatical study”
title_fullStr Common grammatical mistakes in the noun in electronic text “a statistic grammatical study”
title_full_unstemmed Common grammatical mistakes in the noun in electronic text “a statistic grammatical study”
title_sort common grammatical mistakes in the noun in electronic text “a statistic grammatical study”
publisher Institute of Advanced Scientific Research
publishDate 2020
url http://psasir.upm.edu.my/id/eprint/88195/1/ABSTRACT.pdf
http://psasir.upm.edu.my/id/eprint/88195/
https://www.jardcs.org/abstract.php?id=5503
_version_ 1728052818144657408
score 13.160551