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20072022
most citedEmojis as Anchors to Detect Arabic Offensive Language and Hate Speech

6 citations · 8 across the 5 of their papers we have counts for

collaborators

8 papers

eess.AS2022

Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition

Injy Hamed, Amir Hussein, Oumnia Chellah +5

Code-switching poses a number of challenges and opportunities for multilingual automatic speech recognition. In this paper, we focus on the question of robust and fair evaluation m…

cs.CL20226 cited

Emojis as Anchors to Detect Arabic Offensive Language and Hate Speech

Hamdy Mubarak, Sabit Hassan, Shammur Absar Chowdhury

We introduce a generic, language-independent method to collect a large percentage of offensive and hate tweets regardless of their topics or genres. We harness the extralinguistic…

cs.CL20211 cited

A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models

Firoj Alam, Arid Hasan, Tanvirul Alam +4

Bangla -- ranked as the 6th most widely spoken language across the world (https://www.ethnologue.com/guides/ethnologue200), with 230 million native speakers -- is still considered…

cs.CL20211 cited

QASR: QCRI Aljazeera Speech Resource -- A Large Scale Annotated Arabic Speech Corpus

Hamdy Mubarak, Amir Hussein, Shammur Absar Chowdhury +1

We introduce the largest transcribed Arabic speech corpus, QASR, collected from the broadcast domain. This multi-dialect speech dataset contains 2,000 hours of speech sampled at 16…

cs.CL2021

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…

cs.CL2020

Sentiment Classification in Bangla Textual Content: A Comparative Study

Md. Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury +1

Sentiment analysis has been widely used to understand our views on social and political agendas or user experiences over a product. It is one of the cores and well-researched areas…