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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Samir Mbarki
Ibn Tofail University
Computer Science & IT Electrical & Electronics Engineering

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Journal : Indonesian Journal of Electrical Engineering and Computer Science

 1 
Approach by modeling to generate an e-commerce web code from laravel model M'hamed Rahmouni; Mouad Bouzaidi; Samir Mbarki
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 1: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i1.pp257-266

Abstract

The world of web is constantly evolving. Today, we no longer speak of a website but of a web application. The growing difficulty of designing web applications has given rise to solutions and tools. The framework is one of them. Providing a serious framework for development by offering strict development rules, as well as generic and out-of-the-box components, PHP laravel framework is one of them. This paper aims to present the different stages of modeling and development of an enterprise resource planning (ERP) system that will be implemented by PHP laravel by defining the main concepts involved in this information system modeling and development process. To lead and implement the end-to-end development of the said system, we apply the model-driven architecture (MDA) approach. This approach is based on atlas transformation language (ATL). The result of this paper is an Ecore file, a reliable MVC2 web model of e-commerce ERP, which will be the input file to generate the aforementioned system code. To validate this approach, we implemented a case study. The result of this work is very satisfying. Thus, we arrived to generate all necessary elements for this ERP code generation by respecting the MVC2 model and the PHP coding.
Implementation of an Arabic spell checker Rafik Kassmi; Samir Mbarki; Abdelaziz Mouloudi
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp322-332

Abstract

This paper outlines the implementation of a spell checker for the Arabic language, leveraging the capabilities of NooJ and its functionality, specifically noojapply. In this paper, we shall proceed to provide clear definitions and comprehensive descriptions of several categories of spelling errors. Next, we will provide a comprehensive introduction to the NooJ platform and its command-line utility, noojapply. In the subsequent section, we shall outline the four main phases of our spell checker prototype. We intend to develop a local grammar in NooJ for the purpose of error detection. Afterwards, a morphological grammar and a local grammar will be created in NooJ with the aim of providing an exhaustive list of possible corrections. Following that, a revised algorithm will be employed to arrange these candidates in descending order of ranking. Subsequently, a web user interface will be developed to visually represent our research efforts. Finally, we will proceed to showcase a series of tests and evaluations conducted on our prototype, Al Mudaqiq.
Syntactic analysis of complex sentences containing Arabic psychological verbs Asmaa Amzali; Asmaa Kourtin; Mohammed Mourchid; Abdelaziz Mouloudi; Samir Mbarki
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp312-321

Abstract

Complex Arabic sentences, especially those containing Arabic psychological verbs, follow a common underlying structure characterized by two essential components: the predicate and the subject. In addition, there are two optional elements: the head and the complement. These sentences, rooted in basic noun phrases (NPs), can be expanded within the predicate, subject, or complement, resulting in compound structures. This study aims to develop a syntactic analyzer for parsing complex sentences containing Arabic psychological verbs. To achieve this, we will use the dictionary generated from the lexicon-grammar table of Arabic psychological verbs, which contains all lexical, syntactic, semantic, and transformational information related to these verbs. Then, we will extend an existing analyzer to recognize and label all grammatical structures within complex sentences containing Arabic psychological verbs. Finally, we will evaluate the efficiency of this analyzer through tests on different texts and corpora.
Discontinuous Arabic frozen expressions modelization and implementation Asmaa Kourtin; Asmaa Amzali; Mohammed Mourchid; Samir Mbarki
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp342-349

Abstract

Frozen expressions hold significant importance in the field of natural language processing, attracting considerable attention from researchers across various languages in recent years. The Arabic language, in particular, boasts a wealth of frozen expressions inherited from the pre-Islamic and early Islamic periods, with persistent usage to the present day. This linguistic richness has motivated researchers to systematically collect, classify, and elucidate these expressions. Various classifications have emerged, addressing aspects such as continuity, discontinuity, allowance for variations, and restriction from variations. Our aim is to produce lexicon-grammar tables of discontinuous Arabic frozen expressions and implement them. Our approach involves the meticulous collection and study of these expressions, followed by the transformation of their lexicon-grammar tables into dictionaries and syntactic grammars within the NooJ platform. This methodology allows us to recognize and annotate these expressions in texts and corpora, even when they exhibit discontinuity. Such recognition has the potential to address several challenges in automatic natural language processing, including the area of automatic translation.
Co-Authors Abdelaziz Mouloudi Amine Moutaouakkil Asmaa Amzali Asmaa Kourtin M'hamed Rahmouni Mohammed Erramdani Mohammed Mourchid Mouad Bouzaidi Rafik Kassmi Sarra Roubi