Arabic machine translation: A survey with challenges and future directions

J Zakraoui, M Saleh, S Al-Maadeed, JM Alja'am - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, computer language area has witnessed important evolvement with
applications in different domains. Machine Translation MT technology, considered as a …

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 …

LAraBench: Benchmarking Arabic AI with Large Language Models

A Abdelali, H Mubarak, SA Chowdhury… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent advancements in Large Language Models (LLMs) have significantly influenced the
landscape of language and speech research. Despite this progress, these models lack …

Neural Arabic text diacritization: State of the art results and a novel approach for machine translation

A Fadel, I Tuffaha, B Al-Jawarneh… - arXiv preprint arXiv …, 2019 - arxiv.org
In this work, we present several deep learning models for the automatic diacritization of
Arabic text. Our models are built using two main approaches, viz. Feed-Forward Neural …

Arabic speech recognition by end-to-end, modular systems and human

A Hussein, S Watanabe, A Ali - Computer Speech & Language, 2022 - Elsevier
Recent advances in automatic speech recognition (ASR) have achieved accuracy levels
comparable to human transcribers, which led researchers to debate if the machine has …

Larabench: Benchmarking arabic ai with large language models

A Abdelali, H Mubarak, S Chowdhury… - Proceedings of the …, 2024 - aclanthology.org
Abstract Recent advancements in Large Language Models (LLMs) have significantly
influenced the landscape of language and speech research. Despite this progress, these …

Taqyim: Evaluating arabic nlp tasks using chatgpt models

Z Alyafeai, MS Alshaibani, B AlKhamissi… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have demonstrated impressive performance on various
downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model …

Evaluating various tokenizers for Arabic text classification

Z Alyafeai, MS Al-shaibani, M Ghaleb… - Neural Processing Letters, 2023 - Springer
The first step in any NLP pipeline is to split the text into individual tokens. The most obvious
and straightforward approach is to use words as tokens. However, given a large text corpus …

[HTML][HTML] Classifying and diacritizing Arabic poems using deep recurrent neural networks

GA Abandah, MZ Khedher, MR Abdel-Majeed… - Journal of King Saud …, 2022 - Elsevier
Poetry has a prominent history in Arabic literature. The classical Arabic poetry has 16 m that
vary in rhythm and target purpose. Chanting a poem eloquently requires knowing the …

A deep belief network classification approach for automatic diacritization of arabic text

W Almanaseer, M Alshraideh, O Alkadi - Applied Sciences, 2021 - mdpi.com
Deep learning has emerged as a new area of machine learning research. It is an approach
that can learn features and hierarchical representation purely from data and has been …