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    <abstract>This paper describes Faheem (adj. of understand), our submission to NADI (Nuanced Arabic Dialect Identification) shared task. With so many Arabic dialects being under-studied due to the scarcity of the resources, the objective is to identify the Arabic dialect used in the tweet, country wise. We propose a machine learning approach where we utilize word-level n-gram (n = 1 to 3) and tf-idf features and feed them to six different classifiers. We train the system using a data set of 21,000 tweets—provided by the organizers—covering twenty-one Arab countries. Our top performing classifiers are: Logistic Regression, Support Vector Machines, and Multinomial Na ̈ıve Bayes.</abstract>
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%0 Conference Proceedings
%T Faheem at NADI shared task: Identifying the dialect of Arabic tweet
%A AlShenaifi, Nouf
%A Azmi, Aqil
%Y Zitouni, Imed
%Y Abdul-Mageed, Muhammad
%Y Bouamor, Houda
%Y Bougares, Fethi
%Y El-Haj, Mahmoud
%Y Tomeh, Nadi
%Y Zaghouani, Wajdi
%S Proceedings of the Fifth Arabic Natural Language Processing Workshop
%D 2020
%8 December
%I Association for Computational Linguistics
%C Barcelona, Spain (Online)
%F alshenaifi-azmi-2020-faheem
%X This paper describes Faheem (adj. of understand), our submission to NADI (Nuanced Arabic Dialect Identification) shared task. With so many Arabic dialects being under-studied due to the scarcity of the resources, the objective is to identify the Arabic dialect used in the tweet, country wise. We propose a machine learning approach where we utilize word-level n-gram (n = 1 to 3) and tf-idf features and feed them to six different classifiers. We train the system using a data set of 21,000 tweets—provided by the organizers—covering twenty-one Arab countries. Our top performing classifiers are: Logistic Regression, Support Vector Machines, and Multinomial Na ̈ıve Bayes.
%U https://aclanthology.org/2020.wanlp-1.29
%P 282-287

Markdown (Informal)

[Faheem at NADI shared task: Identifying the dialect of Arabic tweet](https://aclanthology.org/2020.wanlp-1.29) (AlShenaifi & Azmi, WANLP 2020)

• Faheem at NADI shared task: Identifying the dialect of Arabic tweet (AlShenaifi & Azmi, WANLP 2020)

ACL

• Nouf AlShenaifi and Aqil Azmi. 2020. Faheem at NADI shared task: Identifying the dialect of Arabic tweet. In Proceedings of the Fifth Arabic Natural Language Processing Workshop, pages 282–287, Barcelona, Spain (Online). Association for Computational Linguistics.