Results 141 to 150 of about 1,363 (163)

Diacritical Manipulations as Adversarial Attacks in Arabic NLP Systems

Arabian Journal for Science and Engineering
Basemah Alshemali
exaly   +2 more sources

Towards a Learning System Based on Arabic NLP Tools

International Journal of Information Retrieval Research, 2016
The evolution of computer technology stimulates us to develop a learning environment that addresses many of the problems associated with the use of words in Arabic. A learning platform of Arab foreign language used automatic language processing tools (NLP) based on multi-agent approach.
Khaireddine Bacha, Mohamed Jemni, Mounir Zrigui   +2 more
openaire   +1 more source

The Development of a Standard Morpho-Syntactic Lexicon for Arabic NLP

Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
In this paper, we present a linguistic resource developed at our institute which will soon be available in open source. ALIF (Arabic Lexicon Inflected Forms) is a morpho-syntactic lexicon of the inflected forms of the Arabic language in which each inflected form is associated with morpho-syntactic information (lemma, root, POS, type, prefix, and suffix)
Abdelhamid El-Jihad, Driss Namly, fettah Hamdani, Karim Bouzoubaa   +3 more
openaire   +1 more source

Arabic Books Search Engine Using Nlp Techniques

2025 Twelfth International Conference on Intelligent Computing and Information Systems (ICICIS)
Howida Shedeed
exaly   +2 more sources

Enhancing Arabic NLP

Arabic is a first language for more than 300 million people. It has some unique features that can make it one of the most complex languages, such as multiple derivatives, unlimited vocabulary, diacritics, and others. Preprocessing Arabic text is an essential step in order to prepare text for Natural Language Processing (NLP) purposes.
Suha Khalil Assayed, Safwan Maghaydah, Khaled Shaalan   +2 more
openaire   +1 more source

A Survey and Comparative Study of Arabic NLP Architectures

2017
Arabic Natural Language Processing (ANLP) has known a significant progress during the last years. As a result, several ANLP tools and applications have been developed such as tokenizers, Part Of Speech taggers, morphological analyzers, syntactic parsers, etc.
Younes Jaafar, Karim Bouzoubaa
openaire   +1 more source

An NLP Based Text-to-Speech Synthesizer for Moroccan Arabic

2018
The main objective of text-to-speech synthesis is to produce natural sounding speech from any text sequence regardless of its complexity and ambiguity. For this purpose, many approaches combine different models to text-to-Speech methods in order to enhance results.
Rajae Moumen, Raddouane Chiheb
openaire   +1 more source

Improving the modelling of Arabic varieties in NLP

Natural Language Processing (NLP) systems generally focus on supporting standardized varieties of languages. Developing systems for a non-standardized variety (dialect) requires finding/selecting samples in this variety, to create customized mixtures of pretraining data or to develop dialect-specific benchmarks. To this end, Dialect Identification (DI)
openaire   +2 more sources

Arabic Legal NLP and Legal Hallucinations

Legal hallucination in Arabic large language models (LLMs) represents a growing challenge for the integrity of AIassisted legal work. This study examines the structural relationship between the deficiencies of Arabic Legal Natural Language Processing (NLP) systems and the emergence of legal hallucinations, with a particular focus on the Egyptian legal ...
openaire   +1 more source

Enhancing State-of-the-Art NLP Models for Classical Arabic

2023
Tariq Yousef, Lisa Mischer, Hamid Reza Hakimi, Maxim Romanov   +3 more
openaire   +2 more sources