[HTML][HTML] Arabic natural language processing: An overview

I Guellil, H Saâdane, F Azouaou, B Gueni… - Journal of King Saud …, 2021 - Elsevier
Arabic is recognised as the 4th most used language of the Internet. Arabic has three main
varieties:(1) classical Arabic (CA),(2) Modern Standard Arabic (MSA),(3) Arabic Dialect (AD) …

A panoramic survey of natural language processing in the Arab world

K Darwish, N Habash, M Abbas, H Al-Khalifa… - Communications of the …, 2021 - dl.acm.org
THE TERM NATURAL language refers to any system of symbolic communication (spoken,
signed, or written) that has evolved naturally in humans without intentional human planning …

Part-of-speech tagging for Arabic tweets using CRF and Bi-LSTM

W AlKhwiter, N Al-Twairesh - Computer Speech & Language, 2021 - Elsevier
Over the past few years, Twitter has experienced massive growth and the volume of its
online content has increased rapidly. This content has been a rich source for several studies …

A survey on syntactic processing techniques

X Zhang, R Mao, E Cambria - Artificial Intelligence Review, 2023 - Springer
Computational syntactic processing is a fundamental technique in natural language
processing. It normally serves as a pre-processing method to transform natural language …

Natural language processing for dialects of a language: A survey

A Joshi, R Dabre, D Kanojia, Z Li, H Zhan… - arXiv preprint arXiv …, 2024 - arxiv.org
State-of-the-art natural language processing (NLP) models are trained on massive training
corpora, and report a superlative performance on evaluation datasets. This survey delves …

AdaSL: An unsupervised domain adaptation framework for Arabic multi-dialectal sequence labeling

A El Mekki, A El Mahdaouy, I Berrada… - Information Processing & …, 2022 - Elsevier
Dialectal Arabic (DA) refers to varieties of everyday spoken languages in the Arab world.
These dialects differ according to the country and region of the speaker, and their textual …

Morphosyntactic tagging with pre-trained language models for Arabic and its dialects

G Inoue, S Khalifa, N Habash - arXiv preprint arXiv:2110.06852, 2021 - arxiv.org
We present state-of-the-art results on morphosyntactic tagging across different varieties of
Arabic using fine-tuned pre-trained transformer language models. Our models consistently …

Challenges and Progress in Constructing Arabic Dialect Corpora and Linguistic tools: A Focus on Moroccan and Tunisian Dialects

O Nahli, E Gugliotta, N Khlif… - 2023 7th IEEE Congress …, 2023 - ieeexplore.ieee.org
Given the lack of resources for Arabic dialects, the construction of corpora, lexical resources,
and tools is a non-trivial challenge. The focus of the article is to describe our in-progress …

Adversarial multitask learning for joint multi-feature and multi-dialect morphological modeling

N Zalmout, N Habash - arXiv preprint arXiv:1910.12702, 2019 - arxiv.org
Morphological tagging is challenging for morphologically rich languages due to the large
target space and the need for more training data to minimize model sparsity. Dialectal …

Language resources for Maghrebi Arabic dialects' NLP: a survey

J Younes, E Souissi, H Achour, A Ferchichi - Language Resources and …, 2020 - Springer
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 …