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Identification and Classification of Learning Disabilities Using Machine Learning Approaches: A Meta‐Analysis

Mind, Brain, and Education, Volume 20, Issue 3, August 2026.
ABSTRACT Machine learning (ML) algorithms have been increasingly used to predict learning disability (LD) risk across various disciplines, but the effectiveness of different algorithms remains unclear. We summarize the literature on ML applications for the identification and classification of LDs using behavioral (e.g., phoneme manipulation and sound ...
Yusra Ahmed, Lisa K. Chinn, Connor L. Cheek, David J. Francis, Elena L. Grigorenko   +4 more
wiley   +1 more source

Enhancing Arabic Dialect Detection on Social Media: A Hybrid Model with an Attention Mechanism

Information
Recently, the widespread use of social media and easy access to the Internet have brought about a significant transformation in the type of textual data available on the Web.
Wael M. S. Yafooz
doaj   +1 more source

The More Things Change: A Learner's Perspective on Learning Another Arabic Dialect [PDF]

Journal of the National Council of Less Commonly Taught Languages, 2010
This study considers the process of learning another Arabic dialect from a learner’s point of view. It is based on a language learning journal written during the study of Maltese in the summer of 2009.
Elizabeth M. Bergman
doaj  

Hate speech detection with ADHAR: a multi-dialectal hate speech corpus in Arabic

Frontiers in Artificial Intelligence
Hate speech detection in Arabic poses a complex challenge due to the dialectal diversity across the Arab world. Most existing hate speech datasets for Arabic cover only one dialect or one hate speech category.
Anis Charfi, Mabrouka Besghaier, Raghda Akasheh, Andria Atalla, Wajdi Zaghouani   +4 more
doaj   +1 more source

Rooting language in Arabic dialect Alkhozstanah

مجلة كلية التربية للبنات, 2019
This study Arabic dialect prevailing in the province of Khuzestan [southwest Islamic Republic of Iran] as one of the Arabic dialects abundant qualities and characteristics of linguistic entrenched in the foot, which includes among Tithe thousands ...
عاطي عبيات .
doaj  

Neural machine translation of dialectal-dialectal Arabic

This thesis addresses the challenging task of neural machine translation (NMT) between various Arabic dialects, an area that has received limited focus in the field of natural language processing. The primary aim is to explore and compare different approaches to dialect-dialect translation, including models trained from scratch, fine-tuning pre-trained
openaire   +3 more sources

Issues of Dialectal Arabic

, 2019
openaire   +1 more source

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Parsing Arabic Dialects

2006
The Arabic language is a collection of spoken dialects with important phonological, morphological, lexical, and syntactic differences, along with a standard written language, Modern Standard Arabic (MSA). Since the spoken dialects are not officially written, it is very costly to obtain adequate corpora to use for training dialect NLP tools such as ...
David Chiang 0001, Mona T. Diab, Nizar Habash, Owen Rambow, Safiullah Shareef   +4 more
  +6 more sources

On The Arabic Dialects’ Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets

Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP), 2022
El árabe es uno de los idiomas más ricos del mundo, con una amplia gama de dialectos basados en el origen geográfico. En este documento, presentamos una solución para abordar la subtarea 1 (Identificación de dialectos a nivel de país) de la tarea compartida de Identificación de dialectos árabes matizados (NADI) 2022, logrando el tercer lugar con una ...
Salma Jamal, Aly M. Kassem, Mohamed Omar, Ali Ashraf   +3 more
openaire   +1 more source

Approaches to Arabic Dialects

2003
XIV + 399 p.
Haak, M. van den, Jong, A. de, Versteegh, C.H.M.   +2 more
openaire   +3 more sources