86 citations · 258 across the 18 of their papers we have counts for
19 papers
LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking
Fahim Dalvi, Maram Hasanain, Sabri Boughorbel +10
The recent development and success of Large Language Models (LLMs) necessitate an evaluation of their performance across diverse NLP tasks in different languages. Although several…
LAraBench: Benchmarking Arabic AI with Large Language Models
Ahmed Abdelali, Hamdy Mubarak, Shammur Absar Chowdhury +13
Recent advancements in Large Language Models (LLMs) have significantly influenced the landscape of language and speech research. Despite this progress, these models lack specific b…
Post-hoc analysis of Arabic transformer models
Ahmed Abdelali, Nadir Durrani, Fahim Dalvi +1
Arabic is a Semitic language which is widely spoken with many dialects. Given the success of pre-trained language models, many transformer models trained on Arabic and its dialects…
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…
Interpreting Arabic Transformer Models
Ahmed Abdelali, Nadir Durrani, Fahim Dalvi +1
Arabic is a Semitic language which is widely spoken with many dialects. Given the success of pre-trained language models, many transformer models trained on Arabic and its dialects…
Textual Data Augmentation for Arabic-English Code-Switching Speech Recognition
Amir Hussein, Shammur Absar Chowdhury, Ahmed Abdelali +3
The pervasiveness of intra-utterance code-switching (CS) in spoken content requires that speech recognition (ASR) systems handle mixed language. Designing a CS-ASR system has many…
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…
Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR
Shammur Absar Chowdhury, Amir Hussein, Ahmed Abdelali +1
With the advent of globalization, there is an increasing demand for multilingual automatic speech recognition (ASR), handling language and dialectal variation of spoken content. Re…
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…
Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
Firoj Alam, Fahim Dalvi, Shaden Shaar +8
With the outbreak of the COVID-19 pandemic, people turned to social media to read and to share timely information including statistics, warnings, advice, and inspirational stories.…
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…
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…
Challenging Language-Dependent Segmentation for Arabic: An Application to Machine Translation and Part-of-Speech Tagging
Hassan Sajjad, Fahim Dalvi, Nadir Durrani +3
Word segmentation plays a pivotal role in improving any Arabic NLP application. Therefore, a lot of research has been spent in improving its accuracy. Off-the-shelf tools, however,…
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…
Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015
Hassan Sajjad, Nadir Durrani, Francisco Guzman +6
The paper describes the Egyptian Arabic-to-English statistical machine translation (SMT) system that the QCRI-Columbia-NYUAD (QCN) group submitted to the NIST OpenMT'2015 competiti…