86 citations · 305 across the 27 of their papers we have counts for
14 papers · 1 filter
NatiQ: An End-to-end Text-to-Speech System for Arabic
Ahmed Abdelali, Nadir Durrani, Cenk Demiroglu +3
NatiQ is end-to-end text-to-speech system for Arabic. Our speech synthesizer uses an encoder-decoder architecture with attention. We used both tacotron-based models (tacotron-1 and…
Automatic Expansion and Retargeting of Arabic Offensive Language Training
Hamdy Mubarak, Ahmed Abdelali, Kareem Darwish +1
Rampant use of offensive language on social media led to recent efforts on automatic identification of such language. Though offensive language has general characteristics, attacks…
Cross-lingual Emotion Detection
Sabit Hassan, Shaden Shaar, Kareem Darwish
Emotion detection can provide us with a window into understanding human behavior. Due to the complex dynamics of human emotions, however, constructing annotated datasets to train a…
Pre-Training BERT on Arabic Tweets: Practical Considerations
Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak +2
Pretraining Bidirectional Encoder Representations from Transformers (BERT) for downstream NLP tasks is a non-trival task. We pretrained 5 BERT models that differ in the size of the…
BERT Transformer model for Detecting Arabic GPT2 Auto-Generated Tweets
Fouzi Harrag, Maria Debbah, Kareem Darwish +1
During the last two decades, we have progressively turned to the Internet and social media to find news, entertain conversations and share opinion. Recently, OpenAI has developed a…
A Panoramic Survey of Natural Language Processing in the Arab World
Kareem Darwish, Nizar Habash, Mourad Abbas +9
The term natural language refers to any system of symbolic communication (spoken, signed or written) without intentional human planning and design. This distinguishes natural langu…
Arabic Dialect Identification in the Wild
Ahmed Abdelali, Hamdy Mubarak, Younes Samih +2
We present QADI, an automatically collected dataset of tweets belonging to a wide range of country-level Arabic dialects -covering 18 different countries in the Middle East and Nor…
Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society
Firoj Alam, Shaden Shaar, Fahim Dalvi +14
With the emergence of the COVID-19 pandemic, the political and the medical aspects of disinformation merged as the problem got elevated to a whole new level to become the first glo…
Arabic Offensive Language on Twitter: Analysis and Experiments
Hamdy Mubarak, Ammar Rashed, Kareem Darwish +2
Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building a large Arab…
Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model
Kareem Darwish, Ahmed Abdelali, Hamdy Mubarak +1
Diacritics (short vowels) are typically omitted when writing Arabic text, and readers have to reintroduce them to correctly pronounce words. There are two types of Arabic diacritic…
Tanbih: Get To Know What You Are Reading
Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño +10
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story. Our system displays news grouped into events and ge…
Diacritization of Maghrebi Arabic Sub-Dialects
Ahmed Abdelali, Mohammed Attia, Younes Samih +2
Diacritization process attempt to restore the short vowels in Arabic written text; which typically are omitted. This process is essential for applications such as Text-to-Speech (T…
Arabic Multi-Dialect Segmentation: bi-LSTM-CRF vs. SVM
Mohamed Eldesouki, Younes Samih, Ahmed Abdelali +4
Arabic word segmentation is essential for a variety of NLP applications such as machine translation and information retrieval. Segmentation entails breaking words into their consti…
Arabizi Detection and Conversion to Arabic
Kareem Darwish
Arabizi is Arabic text that is written using Latin characters. Arabizi is used to present both Modern Standard Arabic (MSA) or Arabic dialects. It is commonly used in informal sett…