Results 21 to 30 of about 1,363 (163)
Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models
CoRR, 2023 Large language models (LLMs) have demonstrated impressive performance on various downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model built on top of LLMs such as GPT-3.5 and GPT-4. Despite having a lower training proportion compared to English, these models also exhibit remarkable capabilities in other languages.
Zaid Alyafeai +5 more
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An XML Approach of Coding a Morphological Database for Arabic Language
Advances in Human-Computer Interaction, 2011 We present an XML approach for the production of an Arabic morphological database for Arabic language that will be used in morphological analysis for modern standard Arabic (MSA).
Mourad Gridach, Noureddine Chenfour
doaj +1 more source
Classical Arabic Named Entity Recognition Using Variant Deep Neural Network Architectures and BERT
IEEE Access, 2021 Recurrent Neural Networks (RNNs) and transformers are deep learning models that have achieved remarkable success in several Natural Language Processing (NLP) tasks since they do not rely on handcrafted features nor enormous knowledge resources.
Norah Alsaaran, Maha Alrabiah
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A comprehensive NLP system for Modern Standard Arabic and Modern Hebrew [PDF]
Proceedings of the ACL-02 workshop on Computational approaches to semitic languages -, 2002 This paper presents a comprehensive NLP system by Melingo that has been recently developed for Arabic, based on Morfix™ - an operational formerly developed highly successful comprehensive Hebrew NLP system.The system discussed includes modules for morphological analysis, context sensitive lemmatization, vocalization, text-to-phoneme conversion, and ...
Dror Kamir, Naama Soreq, Yoni Neeman
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Exploring the Performance of Tagging for the Classical and the Modern Standard Arabic
Advances in Fuzzy Systems, 2019 The part of speech (PoS) tagging is a core component in many natural language processing (NLP) applications. In fact, the PoS taggers contribute as a preprocessing step in various NLP tasks, such as syntactic parsing, information extraction, machine ...
Dia AbuZeina +1 more
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A NORMAL PROMPTING BASED APPROACH FOR ARABIC INTENT CLASSIFICATION [PDF]
International Journal of Intelligent Computing and Information SciencesIntent classification in natural language processing (NLP) plays a vital role in identifying users’ intentions from their spoken or written inputs. This task becomes particularly challenging in Arabic due to the language’s rich morphology and inherent ...
fatma habib, Sally Saad, Abeer mahmoud
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Character gated recurrent neural networks for Arabic sentiment analysis
Scientific Reports, 2022 Sentiment analysis is a Natural Language Processing (NLP) task concerned with opinions, attitudes, emotions, and feelings. It applies NLP techniques for identifying and detecting personal information from opinionated text.
Eslam Omara, Mervat Mousa, Nabil Ismail
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AltibbiVec: A Word Embedding Model for Medical and Health Applications in the Arabic Language
IEEE Access, 2021 In recent years, the utilization of natural language processing (NLP) and Machine Learning (ML) techniques in clinical decision support systems have shown their ability in improving and automating the diagnosis process, and reducing potential clinical ...
Maria Habib +3 more
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Studies in English Language and EducationThe research aimed to extract semantic fields from Arabic online news and advance Natural Language Processing (NLP) applications in understanding and managing news information effectively.
Maulana Ihsan Ahmad, Moh. Kanif Anwari
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Journal of Synchrotron Radiation, EarlyView.A pre‐installation virtual commissioning platform for the Korea Light Source ID10 hard X‐ray nanoprobe couples browser‐based Monte Carlo ray tracing, EPICS/Bluesky control and a multilingual natural‐language agent (98.2% accuracy in Korean, English and Japanese) under a zero‐change hardware transition principle, producing commissioning design inputs ...
Minho Seo +9 more
wiley +1 more source