@inproceedings{diab-habash-2014-natural,
title = "Natural Language Processing of {A}rabic and its Dialects",
author = "Diab, Mona and
Habash, Nizar",
editor = "Specia, Lucia and
Carreras, Xavier",
booktitle = "Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
month = oct,
year = "2014",
address = "Doha, Qatar",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D14-2007",
abstract = "This tutorial introduces the different challenges and current solutions to the automatic processing of Arabic and its dialects. The tutorial has two parts: First, we present a discussion of generic issues relevant to Arabic NLP and detail dialectal linguistic issues and the challenges they pose for NLP. In the second part, we review the state-of-the-art in Arabic processing covering several enabling technologies and applications, e.g., dialect identification, morphological processing (analysis, disambiguation, tokenization, POS tagging), parsing, and machine translation.",
}
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<abstract>This tutorial introduces the different challenges and current solutions to the automatic processing of Arabic and its dialects. The tutorial has two parts: First, we present a discussion of generic issues relevant to Arabic NLP and detail dialectal linguistic issues and the challenges they pose for NLP. In the second part, we review the state-of-the-art in Arabic processing covering several enabling technologies and applications, e.g., dialect identification, morphological processing (analysis, disambiguation, tokenization, POS tagging), parsing, and machine translation.</abstract>
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%0 Conference Proceedings
%T Natural Language Processing of Arabic and its Dialects
%A Diab, Mona
%A Habash, Nizar
%Y Specia, Lucia
%Y Carreras, Xavier
%S Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
%D 2014
%8 October
%I Association for Computational Linguistics
%C Doha, Qatar
%F diab-habash-2014-natural
%X This tutorial introduces the different challenges and current solutions to the automatic processing of Arabic and its dialects. The tutorial has two parts: First, we present a discussion of generic issues relevant to Arabic NLP and detail dialectal linguistic issues and the challenges they pose for NLP. In the second part, we review the state-of-the-art in Arabic processing covering several enabling technologies and applications, e.g., dialect identification, morphological processing (analysis, disambiguation, tokenization, POS tagging), parsing, and machine translation.
%U https://aclanthology.org/D14-2007
Markdown (Informal)
[Natural Language Processing of Arabic and its Dialects](https://aclanthology.org/D14-2007) (Diab & Habash, EMNLP 2014)
ACL