Results 131 to 140 of about 1,363 (163)
Some of the next articles are maybe not open access.

Deep learning for Arabic NLP: A survey

Journal of Computational Science, 2018
Abstract The recent advances in deep learning (DL) have caused breakthroughs in many fields such as computer vision, natural language processing (NLP) and speech processing. Many DL based approaches have been shown to produce state-of-the-art results on various tasks that are of great importance to online social networks (OSN) and social computing ...
Aya Nuseir   +2 more
exaly   +2 more sources

Language resources for Maghrebi Arabic dialects’ NLP: a survey

Language Resources and Evaluation, 2020
Diglossia is one of the main characteristics of Arabic language. In Arab countries, there are three forms of Arabic that co-exist: Classical Arabic (CA) which is mainly used in the Quran and in several classical literary texts, Modern Standard Arabic (MSA) that descends from CA and used as official language, and various regional colloquial varieties of
Jihène Younes   +2 more
exaly   +2 more sources

Exploring NLP web APIs for building Arabic systems

2017 Twelfth International Conference on Digital Information Management (ICDIM), 2017
Natural language processing (NLP) is the branch of Artificial Intelligence that is concerned with enabling computers understand human languages. Implementing new NLP tools that effectively and efficiently process Arabic is not an easy task, usually such tools face challenges related to NLP various tasks. However, with the movement of many NLP companies
Hend Al-Khalifa
exaly   +2 more sources

Arabic NLP tools for ontology construction from Arabic text: An overview

2015 International Conference on Electrical and Information Technologies (ICEIT), 2015
Natural Language Processing (NLP) is a technique used to extract data in natural language text that is used in many applications. In the last years, NLP techniques have been adapted for ontology construction and population. For example, Part-of-Speech (POS) tagging, filtering, lexical semantics tagging or tagged named entities used to extract concepts ...
Abdulmalik Al-Salman
exaly   +2 more sources

BERT for Arabic NLP Applications: Pretraining and Finetuning MSA and Arabic Dialects

Communications in Computer and Information Science, 2023
Chaimae Azroumahli   +2 more
exaly   +2 more sources

Towards an Understanding of Arab Women Researchers Contribution in Arabic NLP

The 7th Annual International Conference on Arab Women in Computing in Conjunction with the 2nd Forum of Women in Research, 2021
Arabic language is spoken by around 400 million people living in the Middle East, North Africa, and the Horn of Africa. Like other languages, literary Arabic continues to evolve; this suggests a large potential audience for Arabic Natural language processing (NLP) and the need for a fair contribution from both men and women Arabic NLP researchers.
Daliyah Hesham Alzeer   +1 more
openaire   +1 more source

The Quest for NLP Applications and Tools: The Case of Standard Arabic and the Dialects

2021 International Conference on Asian Language Processing (IALP), 2021
exaly   +2 more sources

Imam: Word Embedding Model for Islamic Arabic NLP

2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2020
This paper can be considered one of the first works to introduce an efficient distributed word representation model for different NLP tasks in the islamic domain. The Word Embedding Model and the algorithm on top of it is implemented in Imam application where user can ask the application to search for any data related to Isalmic domain and get an ...
Ali M. Alargrami, Maged M. Eljazzar
openaire   +1 more source

An NLP based text-to-speech synthesizer for Moroccan Arabic

2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech), 2017
Abdellatif El Afia   +2 more
exaly   +2 more sources

Home - About - Disclaimer - Privacy