activity
20162026
most citedArabic Offensive Language on Twitter: Analysis and Experiments

86 citations · 332 across the 36 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CL2023

ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic Text

Maram Hasanain, Firoj Alam, Hamdy Mubarak +5

We present an overview of the ArAIEval shared task, organized as part of the first ArabicNLP 2023 conference co-located with EMNLP 2023. ArAIEval offers two tasks over Arabic text:…

cs.CL2023★ 4 cited

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…

eess.AS2023

QVoice: Arabic Speech Pronunciation Learning Application

Yassine El Kheir, Fouad Khnaisser, Shammur Absar Chowdhury +3

This paper introduces a novel Arabic pronunciation learning application QVoice, powered with end-to-end mispronunciation detection and feedback generator module. The application is…

cs.CL2023★ 9 cited

Detecting and Reasoning of Deleted Tweets before they are Posted

Hamdy Mubarak, Samir Abdaljalil, Azza Nassar +1

Social media platforms empower us in several ways, from information dissemination to consumption. While these platforms are useful in promoting citizen journalism, public awareness…

cs.CL2023★ 14 cited

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…

cs.CL2023★ 4 cited

Unsupervised Data Selection for TTS: Using Arabic Broadcast News as a Case Study

Massa Baali, Tomoki Hayashi, Hamdy Mubarak +4

Several high-resource Text to Speech (TTS) systems currently produce natural, well-established human-like speech. In contrast, low-resource languages, including Arabic, have very l…