ARBML: democritizing arabic natural language processing tools

Z Alyafeai, M Al-Shaibani - … of Second Workshop for NLP Open …, 2020 - aclanthology.org
Automating natural language understanding is a lifelong quest addressed for decades. With
the help of advances in machine learning and particularly, deep learning, we are able to …

Unlocking the power of transfer learning with Ad-Dabit-Al-Lughawi: A token classification approach for enhanced Arabic Text Diacritization

A Skiredj, I Berrada - Expert Systems with Applications, 2025 - Elsevier
Automatic diacritization of Arabic text is a pivotal process that involves the addition of
diacritical marks to enhance the clarity and comprehension of the text. This task is crucial for …

Automatic Restoration of Diacritics for Speech Data Sets

S Shatnawi, S Alqahtani, H Aldarmaki - arXiv preprint arXiv:2311.10771, 2023 - arxiv.org
Automatic text-based diacritic restoration models generally have high diacritic error rates
when applied to speech transcripts as a result of domain and style shifts in spoken …

Data Augmentation for Speech-Based Diacritic Restoration

S Shatnawi, S Alqahtani, S Shehata… - Proceedings of The …, 2024 - aclanthology.org
This paper describes a data augmentation technique for boosting the performance of
speech-based diacritic restoration. Our experiments demonstrate the utility of this appraoch …

[PDF][PDF] Research Trends in the Fields of Arabic Natural Language Processing Tasks and Arabic Information Extraction Applications: A Survey Study

A Aljamel, H Khalil, Y Aburawi - International Journal of …, 2021 - researchgate.net
This survey has explored the literature on the fields of Arabic NLP tasks and Arabic IE
applications to analyze the state-of-the-art trends, identify the research gaps in these …

[图书][B] Sentiment analysis of dialectical Arabic social media content using a hybrid linguistic-machine learning approach

G Alwakid - 2020 - search.proquest.com
Despite the enormous increase in the number of Arabic posts on social networks, the
sentiment analysis research into extracting opinions from these posts lags behind that for the …