Author: chakir.mahjoubi
Ontologies Can Help Machines Understand Human Language: A Research Paper
Abstract: Natural Language Processing (NLP) strives to enable computers to understand, interpret, and generate human language. While significant progress has been made, achieving true understanding remains a challenge. This paper argues that ontologies, formal representations of knowledge, play a crucial role in bridging the gap between machine processing and human understanding of language. We explore…
Causative-constructions-in-arabic-language
Introduction In Classical Arabic and Modern Standard Arabic (MSA), causative constructions are typically formed by using Form II (الفعل المزيد فيه بالهمزة) of the verb. This form is derived from the base verb (Form I) and is used to express the idea of making or causing someone to do something. Other derived forms, such as…
Part-of-speech Tagset for Arabic
Introduction Modern Standard Arabic grammar defines a detailed part-of-speech hierarchy which is applied to words and morphological segments both. Fundamentally, a word may be classified as a nominal ism (اسم), verb fiʿil (فعل) or a particle ḥarf (حرف). The set of nominals include nouns, pronouns, adjectives and adverbs. The particles include prepositions, conjunctions and interrogatives, as well as many others. Morphological…
The Importance of Metadata in Building Knowledge
Introduction Metadata – referred to as the data that describes other data – is the information we create, store, and share to describe things. It allows us to interact with these things and enhances our understanding of their various resources. It also provides us with a context for these things, describes, explains, and provides their…
Can Robots Emulate Human Brains
Introduction The question of whether robots can emulate human brains brings forth myriad discussions spanning neuroscience, artificial intelligence, robotics, and philosophy. While technological advancements have led to significant improvements in AI and robotics, emulating the complexities of the human brain remains an elusive goal. The human brain, with its approximately 86 billion neurons and trillions…
Linked Data and the Internet of Things: Bridging the Gap Between Physical and Digital
Introduction The Internet of Things (IoT) promises a future brimming with interconnected devices, generating a torrent of data from every corner of our lives. From smart homes and wearable technology to industrial sensors and connected vehicles, the sheer volume and variety of information are staggering. But data without context is just noise. This is where…
Language Structure: A Cognitive Framework for Syntax and Semantics
Abstract: Understanding how humans produce and comprehend language necessitates a cognitive framework that integrates syntax and semantics. This paper proposes such a framework, drawing on insights from cognitive psychology, linguistics, and neuroscience. It argues that language architecture is not a modular system of isolated components, but rather a dynamic and interactive network of cognitive processes, where…
Meaning Representation and Reasoning in Natural Language Processing
Abstract: Natural Language Processing (NLP) aims to enable computers to understand and process human language. A crucial aspect of this is the ability to represent the meaning of text and perform reasoning over it. This paper explores the landscape of meaning representation techniques in NLP, encompassing both symbolic and distributional approaches. We examine the methods…
Efficient Indexing Techniques for Large-Scale Semantic Search
Abstract: Semantic search, which aims to understand the meaning and context of queries rather than simply matching keywords, has gained significant attention in recent years. As the volume of data continues to grow exponentially, the ability to perform semantic search efficiently over large-scale datasets becomes crucial. The increasing volume of data has amplified the critical need…
The Future is Fluid: Language Models Poised to Reshape Human-AI Collaboration
San Francisco, CA – Language models, the powerful AI engines behind everything from chatbots to content creation tools, are rapidly evolving, promising to fundamentally change how humans and artificial intelligence collaborate. Experts are predicting a future where these models act not just as assistants, but as proactive partners, boosting productivity, creativity, and problem-solving across diverse fields.…
The FTC vs. Meta: Zuckerberg, the Metaverse, and the Antitrust Landscape
The Federal Trade Commission (FTC)’s ongoing battle against Meta Platforms, Inc. (formerly Facebook) represents a pivotal moment in antitrust enforcement, particularly in the rapidly evolving digital landscape. Commenced this week, marking a significant legal challenge for the tech giant. The FTC alleges that Meta, formerly Facebook, has monopolized the personal social networking market through strategic…
Semantic Interpretation of Things:
Abstract: The semantic interpretation of “things” – encompassing physical objects, abstract concepts, and everything in between – is a fundamental problem in artificial intelligence and cognitive science. Its broad, context-dependent usage requires systems to navigate the fluid boundaries between concrete and abstract entities, often relying on ontologies, reference resolution, and common sense reasoning to make sense…
Organic Search Performance: A Guide to Increase Website Visibility
In today’s digital landscape, organic search remains a critical driver of website traffic and, ultimately, business success. While paid advertising can offer immediate results, organic search provides a sustainable and cost-effective long-term strategy. This paper will delve into the intricacies of optimizing websites to improve their ranking in search engine results pages (SERPs), focusing on…
Audio Data Annotation: A Comprehensive Overview
Abstract: Audio data tagging (annotation) is the process of assigning meaningful labels or metadata to audio recordings, is a critical step in enabling efficient and effective audio analysis, management, and retrieval. This paper provides a comprehensive overview of audio data tagging, covering its motivations, methodologies, applications, challenges, and future directions. We explore various tagging approaches,…
responsive-design
Abstract: The digital publishing landscape has undergone a seismic shift with the proliferation of smartphones, tablets, and other connected devices. This diversification has rendered static, print-centric magazine formats obsolete. The responsive magazine, designed to adapt seamlessly to any screen size, has emerged as the solution to deliver content effectively across the evolving technological landscape. This…
