Knowledge Representation
Abstract: The translation market is a dynamic and rapidly evolving sector driven by globalization, technological advancements, and the increasing demand for multilingual content. This paper explores the key trends shaping...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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....
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,...
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...
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...
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...
