@inproceedings{habash-2022-arabic,
title = "{A}rabic Natural Language Processing",
author = "Habash, Nizar",
editor = "El-Beltagy, Samhaa R. and
Qiu, Xipeng",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
month = dec,
year = "2022",
address = "Abu Dubai, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emnlp-tutorials.2",
doi = "10.18653/v1/2022.emnlp-tutorials.2",
pages = "9--10",
abstract = "The Arabic language continues to be the focus of an increasing number of projects in natural language processing (NLP) and computational linguistics (CL). This tutorial provides NLP/CL system developers and researchers (computer scientists and linguists alike) with the necessary background information for working with Arabic in its various forms: Classical, Modern Standard and Dialectal. We discuss various Arabic linguistic phenomena and review the state-of-the-art in Arabic processing from enabling technologies and resources, to common tasks and applications. The tutorial will explain important concepts, common wisdom, and common pitfalls in Arabic processing. Given the wide range of possible issues, we invite tutorial attendees to bring up interesting challenges and problems they are working on to discuss during the tutorial.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="habash-2022-arabic">
<titleInfo>
<title>Arabic Natural Language Processing</title>
</titleInfo>
<name type="personal">
<namePart type="given">Nizar</namePart>
<namePart type="family">Habash</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2022-12</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts</title>
</titleInfo>
<name type="personal">
<namePart type="given">Samhaa</namePart>
<namePart type="given">R</namePart>
<namePart type="family">El-Beltagy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Xipeng</namePart>
<namePart type="family">Qiu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Abu Dubai, UAE</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>The Arabic language continues to be the focus of an increasing number of projects in natural language processing (NLP) and computational linguistics (CL). This tutorial provides NLP/CL system developers and researchers (computer scientists and linguists alike) with the necessary background information for working with Arabic in its various forms: Classical, Modern Standard and Dialectal. We discuss various Arabic linguistic phenomena and review the state-of-the-art in Arabic processing from enabling technologies and resources, to common tasks and applications. The tutorial will explain important concepts, common wisdom, and common pitfalls in Arabic processing. Given the wide range of possible issues, we invite tutorial attendees to bring up interesting challenges and problems they are working on to discuss during the tutorial.</abstract>
<identifier type="citekey">habash-2022-arabic</identifier>
<identifier type="doi">10.18653/v1/2022.emnlp-tutorials.2</identifier>
<location>
<url>https://aclanthology.org/2022.emnlp-tutorials.2</url>
</location>
<part>
<date>2022-12</date>
<extent unit="page">
<start>9</start>
<end>10</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Arabic Natural Language Processing
%A Habash, Nizar
%Y El-Beltagy, Samhaa R.
%Y Qiu, Xipeng
%S Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dubai, UAE
%F habash-2022-arabic
%X The Arabic language continues to be the focus of an increasing number of projects in natural language processing (NLP) and computational linguistics (CL). This tutorial provides NLP/CL system developers and researchers (computer scientists and linguists alike) with the necessary background information for working with Arabic in its various forms: Classical, Modern Standard and Dialectal. We discuss various Arabic linguistic phenomena and review the state-of-the-art in Arabic processing from enabling technologies and resources, to common tasks and applications. The tutorial will explain important concepts, common wisdom, and common pitfalls in Arabic processing. Given the wide range of possible issues, we invite tutorial attendees to bring up interesting challenges and problems they are working on to discuss during the tutorial.
%R 10.18653/v1/2022.emnlp-tutorials.2
%U https://aclanthology.org/2022.emnlp-tutorials.2
%U https://doi.org/10.18653/v1/2022.emnlp-tutorials.2
%P 9-10
Markdown (Informal)
[Arabic Natural Language Processing](https://aclanthology.org/2022.emnlp-tutorials.2) (Habash, EMNLP 2022)
ACL
- Nizar Habash. 2022. Arabic Natural Language Processing. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, pages 9–10, Abu Dubai, UAE. Association for Computational Linguistics.