Results 41 to 50 of about 1,363 (163)

Towards Unified Multimodal Search and Generation System: An AI-Driven Text–Image Framework for Arabic

open access: yesOpen Information Science
Recent advances in multimodal learning have significantly enhanced natural language understanding (NLU) and information retrieval across various languages; however, Arabic remains substantially underrepresented in this domain. In this work, we propose an
Harrag Fouzi   +3 more
doaj   +1 more source

Integrating AI into Arabic Linguistics: A Methodological Framework for Reproducible and Interpretable Research

open access: yesAl-Ta'rib
The rapid advancement of Artificial Intelligence (AI) has transformed Arabic linguistic research by enabling increasingly sophisticated Natural Language Processing (NLP) applications.
Ismail Akzam   +1 more
doaj   +1 more source

A7׳ta: Data on a monolingual Arabic parallel corpus for grammar checking

open access: yesData in Brief, 2019
Grammar error correction can be considered as a “translation” problem, such that an erroneous sentence is “translated” into a correct version of the sentence in the same language.
Nora Madi, Hend S. Al-Khalifa
doaj   +1 more source

Arabic chatbot technologies: A scoping review

open access: yesComputer Methods and Programs in Biomedicine Update, 2022
Background: Chatbots have been widely used in many spheres of life from customer services to mental health companions. Despite the breakthroughs in achieving human-like conversations, Arabic language chatbots driven by AI and NLP are relatively scarce ...
Arfan Ahmed   +5 more
doaj   +1 more source

TOWARDS AN ARABIC-URDU COMMON LEXICON USING NLP

open access: yes, 2023
Arabic and Urdu are two prominent languages, both these languages share script similarities and exhibit lexical overlap, with certain words being common to both languages. Our objective is to find the intersection of the lexicon of words between these two languages (having similar script and meaning). Surprisingly, there has been limited exploration of
Sahil Sholla, Zaid Rafi
openaire   +1 more source

Integrating Pooling Techniques and Part of Speech Tagging for Enhanced Chinese Semantic Role Labeling

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
Integrating pooling techniques and POS tagging for enhanced Chinese SRL. ABSTRACT Semantic Role Labeling (SRL) aims to recover predicate‐argument structures in a sentence. Although character‐based pretrained language models perform strongly on Chinese SRL, they still suffer from core‐argument boundary attribution errors, especially around function ...
Ning Ma, Jiahao Wang
wiley   +1 more source

Advancing Arabic Word Embeddings: A Multi-Corpora Approach with Optimized Hyperparameters and Custom Evaluation

open access: yesApplied Sciences
The expanding Arabic user base presents a unique opportunity for researchers to tap into vast online Arabic resources. However, the lack of reliable Arabic word embedding models and the limited availability of Arabic corpora poses significant challenges.
Azzah Allahim, Asma Cherif
doaj   +1 more source

ARABIC LIGHT STEMMER (ARS) [PDF]

open access: yesJournal of Engineering Science and Technology, 2014
Stemming is a main step used to process textual data. It is usually used in several types of applications such as: text mining, information retrieval (IR), and natural language processing (NLP). A major task in stemming is to standardize words; which can
ASMA AL-OMARI, BELAL ABUATA
doaj  

Explainable AI for Hate Speech Moderation: A Stakeholder‐Centered and Sociotechnical Review

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
Overview of the proposed scoping review framework for Explainable AI (XAI) in hate speech moderation. The diagram maps the end to end structure of the study, beginning with the socio technical problem framing and research questions, followed by PRISMA guided methodology, dataset and model evaluation criteria, and comparative analysis of XAI methods for
Muhammad Deedahwar Mazhar Qureshi   +2 more
wiley   +1 more source

AraFast: Developing and Evaluating a Comprehensive Modern Standard Arabic Corpus for Enhanced Natural Language Processing

open access: yesApplied Sciences
The research presented in the following paper focuses on the effectiveness of a modern standard Arabic corpus, AraFast, in training transformer models for natural language processing tasks, particularly in Arabic.
Asmaa Alrayzah   +2 more
doaj   +1 more source

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