Results 11 to 20 of about 1,363 (163)
Open source Arabic research paper dataset for natural language processing [PDF]
Recent advancements in applications such as natural language processing (NLP), applied linguistics, indexing, data mining, information retrieval, and machine translation have emphasized the need for robust datasets and corpora.
Tahani M. Almutairi +3 more
doaj +2 more sources
Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect [PDF]
Named entity recognition (NER) is a significant natural language processing task (NLP) in several applications, including question-answering and data retrieval.
Wala Bin Subait +7 more
doaj +2 more sources
Advancing arabic dialect detection with hybrid stacked transformer models [PDF]
The rapid expansion of dialectally unique Arabic material on social media and the internet highlights how important it is to categorize dialects accurately to maximize a variety of Natural Language Processing (NLP) applications.
Hager Saleh +8 more
doaj +2 more sources
Within-Document Arabic Event Coreference: Challenges, Datasets, Approaches and Future Direction
Event coreference resolution is a crucial component in Natural Language Processing (NLP) applications as it directly affects text summarization, machine translation, classification, and textual entailment.
Mohammed Aldawsari +2 more
doaj +1 more source
Lexical and Morphological Statistics of an Arabic POS-Tagged Corpus [PDF]
Part-Of-Speech (POS) tagging is a basic component necessary for many Natural Language Processing (NLP) applications. Building a manually tagged corpus helps in studying key statistics of a given language which form the basis for POS tagging systems.
Hamdy Mubarak +2 more
doaj +1 more source
GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP
EMNLP 2023 Main ...
Md. Tawkat Islam Khondaker +3 more
openaire +2 more sources
ZCU-NLP at MADAR 2019: Recognizing Arabic Dialects [PDF]
In this paper, we present our systems for the MADAR Shared Task: Arabic Fine-Grained Dialect Identification. The shared task consists of two subtasks. The goal of Subtask– 1 (S-1) is to detect an Arabic city dialect in a given text and the goal of Subtask–2 (S-2) is to predict the country of origin of a Twitter user by using tweets posted by the user ...
Pavel Pribán, Stephen Taylor 0001
openaire +1 more source
The Effectiveness of Arabic Stemmers Using Arabized Word Removal
Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion.
Hamood ALshalabi +4 more
doaj
The high variety in the forms of the Arabic words creates significant complexity related challenges in Natural Language Processing (NLP) tasks for Arabic text.
Abdulaziz M. Alayba, Vasile Palade
doaj +1 more source
AraScore: A deep learning-based system for Arabic short answer scoring
In the past years, Arabic NLP has been significantly lagging behind its English counterpart, but recent advancements in Natural Language Processing have made it possible for Arabic to catch up and show promising results for a multitude of tasks.
Omar Nael +2 more
doaj +1 more source

