{"id":220,"date":"2025-10-15T03:19:01","date_gmt":"2025-10-15T03:19:01","guid":{"rendered":"https:\/\/dsr.edu.my\/iman\/?p=220"},"modified":"2025-10-15T03:19:03","modified_gmt":"2025-10-15T03:19:03","slug":"third-speaker-%d8%a7%d9%84%d9%85%d8%aa%d8%ad%d8%af%d8%ab-%d8%a7%d9%84%d8%ab%d8%a7%d9%84%d8%ab","status":"publish","type":"post","link":"https:\/\/dsr.edu.my\/iman\/?p=220","title":{"rendered":"Third Speaker \u0627\u0644\u0645\u062a\u062d\u062f\u062b \u0627\u0644\u062b\u0627\u0644\u062b"},"content":{"rendered":"\n<p class=\"has-text-align-center\"><strong>Prof. Gheith Abandah<\/strong><br><strong><strong><strong>\u0627\u0644\u0623\u0633\u062a\u0627\u0630 \u0627\u0644\u062f\u0643\u062a\u0648\u0631\u00a0\u063a\u064a\u062b\u00a0\u0639\u0628\u0646\u062f\u0629<\/strong><\/strong><\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img decoding=\"async\" width=\"160\" height=\"200\" src=\"https:\/\/dsr.edu.my\/iman\/wp-content\/uploads\/2025\/10\/GheithAbandah.jpg\" alt=\"\" class=\"wp-image-223\" style=\"width:172px;height:auto\"\/><\/figure>\n\n\n\n<p class=\"has-text-align-center\"><strong>Unlocking the Power of Large Language Models: Architectures, Trends, and Arabic NLP Applications<\/strong><br><strong>\u0627\u0633\u062a\u0643\u0634\u0627\u0641 \u0642\u0648\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0644\u063a\u0648\u064a\u0629 \u0627\u0644\u0636\u062e\u0645\u0629: \u0628\u0646\u0649\u060c \u0648\u0627\u062a\u062c\u0627\u0647\u0627\u062a\u060c \u0648\u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629<\/strong><\/p>\n\n\n\n<p>Large Language Models (LLMs) are revolutionizing artificial intelligence, enabling unprecedented advances in natural language understanding and generation. This talk will explore their foundational architectures\u2014particularly the Transformer\u2014and trace their evolution into today\u2019s state-of-the-art systems. We will highlight current trends, including instruction tuning, efficiency optimization, and multimodal capabilities.<\/p>\n\n\n\n<p>The focus will then shift to Arabic Natural Language Processing (NLP), showcasing how LLMs are being adapted to address the unique linguistic, morphological, and dialectal challenges of the Arabic language. Real-world applications will be discussed, including machine translation, dialect-to-MSA conversion, and automated text correction and diacritization. These examples will illustrate how LLMs can drive innovation and bridge gaps in Arabic digital content.<\/p>\n\n\n\n<p>Attendees will gain both a technical understanding of LLM capabilities and practical insights into applying them for Arabic NLP, leaving with a clear view of current opportunities, challenges, and future directions in this rapidly evolving field.<\/p>\n\n\n\n<p class=\"has-text-align-right\">\u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0644\u063a\u0648\u064a\u0629 \u0627\u0644\u0636\u062e\u0645\u0629 \u062a\u064f\u062d\u062f\u062b \u062b\u0648\u0631\u0629 \u0641\u064a \u0645\u062c\u0627\u0644 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u060c \u0625\u0630 \u062a\u0645\u0643\u0651\u0646 \u0645\u0646 \u062a\u062d\u0642\u064a\u0642 \u062a\u0642\u062f\u0645 \u063a\u064a\u0631 \u0645\u0633\u0628\u0648\u0642 \u0641\u064a \u0641\u0647\u0645 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0637\u0628\u064a\u0639\u064a\u0629 \u0648\u062a\u0648\u0644\u064a\u062f\u0647\u0627. \u064a\u062a\u0646\u0627\u0648\u0644 \u0647\u0630\u0627 \u0627\u0644\u0639\u0631\u0636 \u0627\u0644\u0628\u0646\u0649 \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629 \u0644\u0647\u0630\u0647 \u0627\u0644\u0646\u0645\u0627\u0630\u062c\u060c \u0648\u0644\u0627 \u0633\u064a\u0645\u0627 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0627\u0644\u062a\u062d\u0648\u064a\u0644\u064a\u060c \u0645\u0639 \u062a\u062a\u0628\u0651\u0639 \u0645\u0631\u0627\u062d\u0644 \u062a\u0637\u0648\u0631\u0647\u0627 \u0648\u0635\u0648\u0644\u064b\u0627 \u0625\u0644\u0649 \u0623\u062d\u062f\u062b \u0627\u0644\u0623\u0646\u0638\u0645\u0629 \u0627\u0644\u0645\u062a\u0642\u062f\u0645\u0629 \u0641\u064a \u0627\u0644\u0648\u0642\u062a \u0627\u0644\u062d\u0627\u0636\u0631. \u0643\u0645\u0627 \u0633\u064a\u062a\u0645 \u062a\u0633\u0644\u064a\u0637 \u0627\u0644\u0636\u0648\u0621 \u0639\u0644\u0649 \u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0627\u0644\u062d\u0627\u0644\u064a\u0629 \u0627\u0644\u0628\u0627\u0631\u0632\u0629\u060c \u0645\u062b\u0644 \u0623\u0633\u0627\u0644\u064a\u0628 \u0627\u0644\u0636\u0628\u0637 \u0627\u0644\u0645\u0648\u062c\u0651\u0647\u060c \u0648\u062a\u062d\u0633\u064a\u0646 \u0627\u0644\u0643\u0641\u0627\u0621\u0629\u060c \u0648\u062a\u0639\u0632\u064a\u0632 \u0627\u0644\u0642\u062f\u0631\u0627\u062a \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u0648\u0633\u0627\u0626\u0637.<\/p>\n\n\n\n<p class=\"has-text-align-right\">\u0628\u0639\u062f \u0630\u0644\u0643\u060c \u0633\u064a\u0646\u062a\u0642\u0644 \u0627\u0644\u062a\u0631\u0643\u064a\u0632 \u0625\u0644\u0649 \u0645\u062c\u0627\u0644 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0637\u0628\u064a\u0639\u064a\u064b\u0627\u060c \u0645\u0639 \u0627\u0633\u062a\u0639\u0631\u0627\u0636 \u0643\u064a\u0641\u064a\u0629 \u062a\u0643\u064a\u064a\u0641 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0644\u063a\u0648\u064a\u0629 \u0627\u0644\u0636\u062e\u0645\u0629 \u0644\u0644\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0627\u0644\u062a\u062d\u062f\u064a\u0627\u062a \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0645\u0646 \u062d\u064a\u062b \u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0644\u063a\u0648\u064a\u0629 \u0648\u0627\u0644\u0635\u0631\u0641\u064a\u0629 \u0648\u062a\u0639\u062f\u062f \u0627\u0644\u0644\u0647\u062c\u0627\u062a. \u0648\u0633\u062a\u064f\u0639\u0631\u0636 \u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0648\u0627\u0642\u0639\u064a\u0629 \u062a\u0634\u0645\u0644 \u0627\u0644\u062a\u0631\u062c\u0645\u0629 \u0627\u0644\u0622\u0644\u064a\u0629\u060c \u0648\u062a\u062d\u0648\u064a\u0644 \u0627\u0644\u0644\u0647\u062c\u0627\u062a \u0625\u0644\u0649 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 \u0627\u0644\u0641\u0635\u062d\u0649\u060c \u0648\u0627\u0644\u062a\u0635\u062d\u064a\u062d \u0627\u0644\u0622\u0644\u064a \u0644\u0644\u0646\u0635\u0648\u0635 \u0648\u062a\u0634\u0643\u064a\u0644\u0647\u0627. \u0648\u062a\u0648\u0636\u062d \u0647\u0630\u0647 \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0644\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0644\u063a\u0648\u064a\u0629 \u0627\u0644\u0636\u062e\u0645\u0629 \u0623\u0646 \u062a\u0642\u0648\u062f \u0627\u0644\u0627\u0628\u062a\u0643\u0627\u0631 \u0648\u062a\u0633\u0647\u0645 \u0641\u064a \u0633\u062f \u0627\u0644\u0641\u062c\u0648\u0627\u062a \u0641\u064a \u0627\u0644\u0645\u062d\u062a\u0648\u0649 \u0627\u0644\u0631\u0642\u0645\u064a \u0627\u0644\u0639\u0631\u0628\u064a.<\/p>\n\n\n\n<p class=\"has-text-align-right\">\u0648\u0633\u064a\u0643\u062a\u0633\u0628 \u0627\u0644\u062d\u0627\u0636\u0631\u0648\u0646 \u0641\u0647\u0645\u064b\u0627 \u062a\u0642\u0646\u064a\u064b\u0627 \u0644\u0642\u062f\u0631\u0627\u062a \u0647\u0630\u0647 \u0627\u0644\u0646\u0645\u0627\u0630\u062c\u060c \u0625\u0644\u0649 \u062c\u0627\u0646\u0628 \u0631\u0624\u0649 \u0639\u0645\u0644\u064a\u0629 \u062d\u0648\u0644 \u0643\u064a\u0641\u064a\u0629 \u062a\u0648\u0638\u064a\u0641\u0647\u0627 \u0641\u064a \u0645\u062c\u0627\u0644 \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629\u060c \u0645\u0645\u0627 \u064a\u0645\u0646\u062d\u0647\u0645 \u062a\u0635\u0648\u0631\u064b\u0627 \u0648\u0627\u0636\u062d\u064b\u0627 \u062d\u0648\u0644 \u0627\u0644\u0641\u0631\u0635 \u0648\u0627\u0644\u062a\u062d\u062f\u064a\u0627\u062a \u0648\u0627\u0644\u0627\u062a\u062c\u0627\u0647\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629 \u0641\u064a \u0647\u0630\u0627 \u0627\u0644\u0645\u062c\u0627\u0644 \u0627\u0644\u0645\u062a\u0637\u0648\u0631 \u0628\u0633\u0631\u0639\u0629.<\/p>\n\n\n\n<p><strong>Biography<br>\u0627\u0644\u0633\u064a\u0631\u0629 \u0627\u0644\u0630\u0627\u062a\u064a\u0629<\/strong><\/p>\n\n\n\n<p><strong>Professor Gheith Abandah<\/strong>, a PhD and MSE graduate from the University of Michigan and BSc holder from the University of Jordan, boasts a multifaceted career as a Full Professor of Computer Engineering at the University of Jordan, the first President of Aqaba University of Technology, and General Coordinator of the Erasmus+ DeCAIR project for developing AI and Robotics curricula. With 40 years of experience spanning academia and industry, he excels in both teaching and research (AI, Arabic NLP, machine learning) with 74 publications, 1300+ citations, and an h-index of 21. His 15+ years of industry expertise encompass localization, military electronics, and product\/project development, where he spearheaded technical teams as Design Engineer, Project Manager, Development Manager, VP Development, and General Manager. An active IEEE Senior Member\u00a0and member of the IEEE Computer Society\u2019s Distinguished Visitor Program, he co-founded the IEEE Jordan Section, chaired it for three terms, led the IEEE Region 8 Committee for Diversity, Equity, and Inclusion, and established the AEECT and JEEIT conferences, showcasing his dedication to service and innovation.<\/p>\n\n\n\n<p><strong>\u0627\u0644\u0623\u0633\u062a\u0627\u0630 \u0627\u0644\u062f\u0643\u062a\u0648\u0631\u00a0\u063a\u064a\u062b\u00a0\u0639\u0628\u0646\u062f\u0629<\/strong>\u060c \u0627\u0644\u062d\u0627\u0635\u0644 \u0639\u0644\u0649 \u062f\u0631\u062c\u0629 \u0627\u0644\u062f\u0643\u062a\u0648\u0631\u0627\u0629 \u0648\u0627\u0644\u0645\u0627\u062c\u0633\u062a\u064a\u0631 \u0641\u064a \u0627\u0644\u0647\u0646\u062f\u0633\u0629 \u0645\u0646 \u062c\u0627\u0645\u0639\u0629 \u0645\u064a\u0634\u064a\u063a\u0627\u0646 \u0648\u0628\u0643\u0627\u0644\u0648\u0631\u064a\u0648\u0633 \u0645\u0646 \u0627\u0644\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0623\u0631\u062f\u0646\u064a\u0629\u060c \u064a\u062a\u0645\u062a\u0651\u0639 \u0628\u0645\u0633\u064a\u0631\u0629 \u0645\u0647\u0646\u064a\u0629 \u0645\u062a\u0639\u062f\u062f\u0629 \u0627\u0644\u062c\u0648\u0627\u0646\u0628\u061b \u062d\u064a\u062b \u064a\u0634\u063a\u0644 \u0645\u0646\u0635\u0628 \u0623\u0633\u062a\u0627\u0630 \u062f\u0643\u062a\u0648\u0631 \u0641\u064a \u0647\u0646\u062f\u0633\u0629 \u0627\u0644\u062d\u0627\u0633\u0648\u0628 \u0641\u064a \u0627\u0644\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0623\u0631\u062f\u0646\u064a\u0629\u060c \u0648\u0643\u0627\u0646 \u0623\u0648\u0644 \u0631\u0626\u064a\u0633 \u0644\u062c\u0627\u0645\u0639\u0629 \u0627\u0644\u0639\u0642\u0628\u0629 \u0644\u0644\u062a\u0643\u0646\u0648\u0644\u0648\u062c\u064a\u0627\u060c \u0648\u0627\u0644\u0645\u0646\u0633\u0642 \u0627\u0644\u0639\u0627\u0645 \u0644\u0645\u0634\u0631\u0648\u0639 \u0625\u064a\u0631\u0627\u0633\u0645\u0648\u0633 \u0628\u0644\u0633\u00a0\u0644\u062a\u0637\u0648\u064a\u0631 \u0645\u0646\u0627\u0647\u062c \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0648\u0627\u0644\u0631\u0648\u0628\u0648\u062a\u0627\u062a. \u064a\u0645\u062a\u0644\u0643 \u062e\u0628\u0631\u0629 \u062a\u0645\u062a\u062f \u0644\u0623\u0631\u0628\u0639\u064a\u0646 \u0639\u0627\u0645\u064b\u0627 \u062a\u062c\u0645\u0639 \u0628\u064a\u0646 \u0627\u0644\u0623\u0643\u0627\u062f\u064a\u0645\u064a\u0627 \u0648\u0627\u0644\u0635\u0646\u0627\u0639\u0629\u060c \u0648\u064a\u062a\u0645\u064a\u0632 \u0641\u064a \u0627\u0644\u062a\u062f\u0631\u064a\u0633 \u0648\u0627\u0644\u0628\u062d\u062b \u0627\u0644\u0639\u0644\u0645\u064a (\u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a\u060c \u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u062d\u0627\u0633\u0648\u0628\u064a\u0629 \u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629\u060c \u0648\u062a\u0639\u0644\u0651\u0645 \u0627\u0644\u0622\u0644\u0629) \u0645\u0639 74 \u0645\u0646\u0634\u0648\u0631\u064b\u0627 \u0639\u0644\u0645\u064a\u064b\u0627 \u0648\u0623\u0643\u062b\u0631 \u0645\u0646 1300 \u0627\u0633\u062a\u0634\u0647\u0627\u062f \u0628\u062d\u062b\u064a \u0648\u0645\u0624\u0634\u0631\u00a0h\u00a0\u064a\u0628\u0644\u063a 21. \u0643\u0645\u0627 \u0623\u0646 \u062e\u0628\u0631\u062a\u0647 \u0627\u0644\u0635\u0646\u0627\u0639\u064a\u0629 \u0627\u0644\u062a\u064a \u062a\u0632\u064a\u062f \u0639\u0646 15 \u0639\u0627\u0645\u064b\u0627 \u062a\u0634\u0645\u0644 \u0645\u062c\u0627\u0644\u0627\u062a \u0627\u0644\u062a\u0639\u0631\u064a\u0628 \u0648\u0627\u0644\u0625\u0644\u0643\u062a\u0631\u0648\u0646\u064a\u0627\u062a \u0627\u0644\u0639\u0633\u0643\u0631\u064a\u0629 \u0648\u062a\u0637\u0648\u064a\u0631 \u0627\u0644\u0645\u0646\u062a\u062c\u0627\u062a \u0648\u0627\u0644\u0645\u0634\u0627\u0631\u064a\u0639\u060c \u062d\u064a\u062b \u0642\u0627\u062f \u0641\u0631\u0642\u064b\u0627 \u062a\u0642\u0646\u064a\u0629 \u0641\u064a \u0645\u0646\u0627\u0635\u0628 \u0645\u0647\u0646\u062f\u0633 \u062a\u0635\u0645\u064a\u0645\u060c \u0648\u0645\u062f\u064a\u0631 \u0645\u0634\u0627\u0631\u064a\u0639\u060c \u0648\u0645\u062f\u064a\u0631 \u062a\u0637\u0648\u064a\u0631\u060c \u0648\u0646\u0627\u0626\u0628 \u0631\u0626\u064a\u0633 \u0644\u0644\u062a\u0637\u0648\u064a\u0631\u060c \u0648\u0645\u062f\u064a\u0631 \u0639\u0627\u0645. \u0648\u0647\u0648 \u0639\u0636\u0648 \u0643\u0628\u064a\u0631 \u0641\u064a\u00a0IEEE\u00a0\u0648\u0639\u0636\u0648 \u0641\u064a \u0628\u0631\u0646\u0627\u0645\u062c \u0627\u0644\u0632\u0627\u0626\u0631 \u0627\u0644\u0645\u062a\u0645\u064a\u0632 \u0644\u062c\u0645\u0639\u064a\u0629 \u0627\u0644\u062d\u0627\u0633\u0648\u0628\u00a0\u00a0IEEE Computer Society\u060c \u0648\u0642\u062f \u0634\u0627\u0631\u0643 \u0641\u064a \u062a\u0623\u0633\u064a\u0633 \u0641\u0631\u0639\u00a0IEEE\u00a0\u0641\u064a \u0627\u0644\u0623\u0631\u062f\u0646 \u0648\u062a\u0631\u0623\u0651\u0633\u0647 \u0644\u062b\u0644\u0627\u062b \u062f\u0648\u0631\u0627\u062a\u060c \u0648\u0642\u0627\u062f \u0644\u062c\u0646\u0629 \u0627\u0644\u062a\u0646\u0648\u0639 \u0648\u0627\u0644\u0625\u0646\u0635\u0627\u0641 \u0648\u0627\u0644\u0634\u0645\u0648\u0644 \u0641\u064a \u0645\u0646\u0637\u0642\u0629\u00a0IEEE\u00a0\u00a0\u0627\u0644\u062b\u0627\u0645\u0646\u0629\u060c \u0648\u0623\u0633\u0633 \u0633\u0644\u0627\u0633\u0644 \u0645\u0624\u062a\u0645\u0631\u064a\u00a0AEECT\u00a0\u0648JEEIT\u060c \u0645\u0645\u0627 \u064a\u0639\u0643\u0633 \u0627\u0644\u062a\u0632\u0627\u0645\u0647 \u0628\u0627\u0644\u062e\u062f\u0645\u0629 \u0648\u0627\u0644\u0627\u0628\u062a\u0643\u0627\u0631.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Prof. Gheith Abandah\u0627\u0644\u0623\u0633\u062a\u0627\u0630 \u0627\u0644\u062f\u0643\u062a\u0648\u0631\u00a0\u063a\u064a\u062b\u00a0\u0639\u0628\u0646\u062f\u0629 Unlocking the Power of Large Language Models: Architectures, Trends, and Arabic NLP Applications\u0627\u0633\u062a\u0643\u0634\u0627\u0641 \u0642\u0648\u0629 \u0627\u0644\u0646\u0645\u0627\u0630\u062c \u0627\u0644\u0644\u063a\u0648\u064a\u0629 \u0627\u0644\u0636\u062e\u0645\u0629: \u0628\u0646\u0649\u060c \u0648\u0627\u062a\u062c\u0627\u0647\u0627\u062a\u060c \u0648\u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0644\u063a\u0629 \u0627\u0644\u0639\u0631\u0628\u064a\u0629 Large Language Models (LLMs) are revolutionizing artificial intelligence, enabling unprecedented advances in natural language understanding and generation. This talk will explore their foundational architectures\u2014particularly the Transformer\u2014and trace their [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-220","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=\/wp\/v2\/posts\/220","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=220"}],"version-history":[{"count":1,"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=\/wp\/v2\/posts\/220\/revisions"}],"predecessor-version":[{"id":224,"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=\/wp\/v2\/posts\/220\/revisions\/224"}],"wp:attachment":[{"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=220"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=220"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dsr.edu.my\/iman\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=220"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}