• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.10
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• pp.2895-2919
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• 2024

A key element of many Natural Language Processing (NLP) applications is Named Entity Recognition (NER). It involves categorizing and identifying text into separate categories, such as identifying a location or an individual's name. Arabic NER (ANER) is also utilized in numerous other Arabic NLP (ANLP) tasks, such as Machine Translation (MT), Question Answering (QA), and Information Extraction (IE). ANER systems can often be classified into three major groups: rule-based, Machine Learning (ML), and hybrid. This study focuses on examining ML-based ANER developments, particularly in the context of Classical Arabic, which presents unique challenges due to its complex morphological structure and limited linguistic resources. We propose a supervised approach that integrates word-level, morphological, and knowledge-based features to improve NER performance for Classical Arabic. Our method was evaluated on the CANERCorpus, a specialized dataset containing annotated texts from Classical Arabic literature. The Naive Bayes (NB) approach achieved an F-measure of 80%, with precision and recall levels at 86% and 75%, respectively. These results indicate a significant improvement over traditional methods, particularly in dealing with the intricate structure of Classical Arabic. The study highlights the potential of ML in overcoming the challenges of ANER and provides directions for further research in this domain.

• Journal of Information Processing Systems
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• v.11 no.1
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• pp.22-38
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• 2015

While Modern Standard Arabic is the formal spoken and written language of the Arab world; dialects are the major communication mode for everyday life. Therefore, identifying a speaker's dialect is critical in the Arabic-speaking world for speech processing tasks, such as automatic speech recognition or identification. In this paper, we examine two approaches that reduce the Universal Background Model (UBM) in the automatic dialect identification system across the five following Arabic Maghreb dialects: Moroccan, Tunisian, and 3 dialects of the western (Oranian), central (Algiersian), and eastern (Constantinian) regions of Algeria. We applied our approaches to the Maghreb dialect detection domain that contains a collection of 10-second utterances and we compared the performance precision gained against the dialect samples from a baseline GMM-UBM system and the ones from our own improved GMM-UBM system that uses a Reduced UBM algorithm. Our experiments show that our approaches significantly improve identification performance over purely acoustic features with an identification rate of 80.49%.

• Acta Via Serica
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• v.7 no.2
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• pp.89-108
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• 2022

Since the most ancient times, lapis lazuli had been used for luxury goods such as jewelry and seals, to embellish sculptures and weapons or the precious objects of tombs, such as the golden mask of Tutankhamon or the famous "Standard" of the royal cemetery of Ur. Much more recent seems to be its frequent use as a pigment in wall paintings or polychrome stucco. In this article, the question of the sources for this extremely rare mineral is briefly discussed and the places proposed by ancient scholars as deposits of the mineral are presented and examined. The information provided in the medieval Arabic and Persian scientific literature has been considered and compared with the data of our modern geological knowledge. A list of sites in Central Asia, the Middle East, and India with lapis lazuli occurrence on wall paintings illustrate its wide use in different artistic cultures and periods between the 2nd and 10th centuries C.E. These cultures are in fact different in ethnic and linguistic origin and in the religious, economic, and social sphere, but closely interconnected by common pan-regional artistic traditions in style, materials, and techniques employed. A case study investigated by the authors in the Friday Mosque of Iṣfahān gives an example of the use of lapis lazuli pigment in Islamic wall paintings and stuccoes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.90-113
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• 2021

Electronic Records Management System (ERMS) is a computer program or set of applications that is utilized for keeping up to date records along with their storage. ERMS has been extensively utilized for enhancing the performance of academic institutions. The system assists in the planning and decision-making processes, which in turn enhances the competencies. However, although ERMS is significant in supporting the process of decision-making, the majority of organizations have failed to take an initiative to implement it, taking into account that are some implementing it without an appropriate framework, and thus resulted in the practice which does not meet the accepted standard. Therefore, this study identifies the factors influencing the adoption of ERMS among employees of HLI in Yemen and the role of such adoption in the decision-making process, using the Unified Theory of Acceptance and Use of Technology (UTAUT) along with Technology, Organization and Environment (TOE) as the underpinning theories. The study conducts a cross-sectional survey with a questionnaire as the technique for data collection, distributed to 364 participants in various Yemeni public Higher Learning Institutions (HLI). Using AMOS as a statistical method, the findings revealed there are significant and positive relationships between technology factors (effort expectancy, performance expectancy, IT infrastructure and security), organizational factors (top management support, financial support, training, and policy),environmental factors (competitiveness pressure, facilitating conditions and trust) and behavioral intention to adopt ERMS, which in return has a significant relationship with the process of decision-making in HLI. The study also presents a variety of theoretical and empirical contributions that enrich the body of knowledge in the field of technology adoption and the electronic record's domain.