Kareem Darwish

Attitudes towards Refugees in Light of the Paris Attacks

2015 · arXiv (Cornell University)

The Paris attacks prompted a massive response on social media including Twitter. This paper explores the immediate response of English speakers on Twitter towards Middle Eastern refugees in Europe. We show that antagonism towards refugees …

Predicting Online Islamophobic Behavior after #ParisAttacks

2018 · The Journal of Web Science

The tragic Paris terrorist attacks of November 13, 2015 sparked a massive global discussion on Twitter and other social media, with millions of tweets in the first few hours after the attacks. Most of these …

Arabic Dialect Identification in the Wild

2020 · arXiv (Cornell University)

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 North Africa region. Our method for building this …

Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology

2023

We present the ACL 60/60 evaluation sets for multilingual translation of ACL 2022 technical presentations into 10 target languages.This dataset enables further research into multilingual speech translation under realistic recording conditions with unsegmented audio and …

Farasa: A Fast and Furious Segmenter for Arabic

2016

In this paper, we present Farasa, a fast and accurate Arabic segmenter. Our approach is based on SVM-rank using linear kernels. We measure the performance of the segmenter in terms of accuracy and efficiency, in …

Farasa: A New Fast and Accurate Arabic Word Segmenter

2016

In this paper, we present Farasa (meaning insight in Arabic), which is a fast and accurate Arabic segmenter.Segmentation involves breaking Arabic words into their constituent clitics.Our approach is based on SVM rank using linear kernels.The …