Results 41 to 50 of about 1,363 (163)
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
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
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A7׳ta: Data on a monolingual Arabic parallel corpus for grammar checking
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
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Arabic chatbot technologies: A scoping review
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
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TOWARDS AN ARABIC-URDU COMMON LEXICON USING NLP
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
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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
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
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ARABIC LIGHT STEMMER (ARS) [PDF]
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
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
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
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