The Treatment of Some Deviation Cases in Non-Standard Data Using Artificial Intelligence and Natural Language Processing Applied to Arabic Language

Bilal Alshafei

doi:https://doi.org/10.35552/0247-021-004-010

English
العربيّة

The Treatment of Some Deviation Cases in Non-Standard Data Using Artificial Intelligence and Natural Language Processing Applied to Arabic Language

DOI:

10.35552/0247-021-004-010

Authors:

Bilal Alshafei

Article info

Received 2006-03-06

Received in revised form

Accepted 2007-08-05

Availabe online 2007-08-05

Pages 1187 - 1197

Keywords

Abstract

The aim of this study is to try to investigate the problem of deviation in non-standard data generated by inquiry into Arabic language, using research engines or some Natural Language Processing programs (NLP) applied to Arabic. The deviation could be corrected by using expert systems and some neural networking. It will try to analyze these issues from both linguistic point of view and technological point of view in order to find the best way to build a model of work that could find solutions for some deviant cases using Artificial Intelligence (Expert Systems and neural networks). Above all, this work could serve as a starting point for farther research on the deviant cases.

Recommended Citation

BibTex RIS

Alshafei, B. (2007). The Treatment of Some Deviation Cases in Non-Standard Data Using Artificial Intelligence and Natural Language Processing Applied to Arabic Language. An-Najah University Journal for Research - B (Humanities), 21(4), 1187–1197. https://doi.org/10.35552/0247-021-004-010

[1]B. Alshafei, “The Treatment of Some Deviation Cases in Non-Standard Data Using Artificial Intelligence and Natural Language Processing Applied to Arabic Language,” An-Najah University Journal for Research - B (Humanities), vol. 21, no. 4, pp. 1187–1197, Aug. 2007, doi: 10.35552/0247-021-004-010.

Alshafei, Bilal. “The Treatment of Some Deviation Cases in Non-Standard Data Using Artificial Intelligence and Natural Language Processing Applied to Arabic Language.” An-Najah University Journal for Research - B (Humanities), vol. 21, no. 4, Aug. 2007, pp. 1187–97. Crossref, https://doi.org/10.35552/0247-021-004-010.

1.Alshafei B. The Treatment of Some Deviation Cases in Non-Standard Data Using Artificial Intelligence and Natural Language Processing Applied to Arabic Language. An-Najah University Journal for Research - B (Humanities) [Internet]. 2007 Aug;21(4):1187–97. Available from: http://dx.doi.org/10.35552/0247-021-004-010

Alshafei, Bilal. “The Treatment of Some Deviation Cases in Non-Standard Data Using Artificial Intelligence and Natural Language Processing Applied to Arabic Language.” An-Najah University Journal for Research - B (Humanities) 21, no. 4 (August 2007): 1187–97. https://doi.org/10.35552/0247-021-004-010.

معالجة بعض حالات الانحراف في قواعد البيانات غير المعيارية باستخدام الذكاء الصناعي ومعالجة اللغات الطبيعية وتطبيقاتهم على اللغة العربية

DOI:

10.35552/0247-021-004-010

المؤلفون:

بلال الشافعي

معلومات المقال

تاريخ التسليم 2006-03-06

تاريخ تسليم النسخة المعدلة

تاريخ القبول 2007-08-05

على شبكة الإنترنت 2007-08-05

الصفحات 1187 - 1197

الكلمات الإفتتاحية

الملخص

تهدف هذه الدراسة إلى تقديـم بعض ظواهـر الانحـراف فـي قواعد البيانات الالكترونية غير المعيارية ومحاولة معالجتها، وذلك من خلال الطرح أو الإجابة على الاستفسارات المقدمــة لأدوات البحث ووسائــل معالجــة المعلومات بطريقــة أتوماتيكيــة، وذلك باستخــدام تقنيــات معالجــة اللغــات الطبيعيــة "Natural Language Processing" والذكاء الصناعي (AI) "Artificial Intelligence" المعتمد على الانظمة الخبيرة "Expert Systems" والشبكــات العصبيــة "Neural Networks". وتعد هــذه الدراســة جزء? من الدراســات التــي تعالــج قواعــد البيانــات باللغــة العربيــة باستخــدام الحاســوب.