@inproceedings{mubarak-etal-2020-arabic,
title = "{A}rabic Curriculum Analysis",
author = "Mubarak, Hamdy and
Amer, Shimaa and
Abdelali, Ahmed and
Darwish, Kareem",
editor = "Ptaszynski, Michal and
Ziolko, Bartosz",
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "International Committee on Computational Linguistics (ICCL)",
url = "https://aclanthology.org/2020.coling-demos.15",
doi = "10.18653/v1/2020.coling-demos.15",
pages = "80--86",
abstract = "Developing a platform that analyzes the content of curricula can help identify their shortcomings and whether they are tailored to specific desired outcomes. In this paper, we present a system to analyze Arabic curricula and provide insights into their content. It allows users to explore word presence, surface-forms used, as well as contrasting statistics between different countries from which the curricula were selected. Also, it provides a facility to grade text in reference to given grade-level and gives users feedback about the complexity or difficulty of words used in a text.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="mubarak-etal-2020-arabic">
<titleInfo>
<title>Arabic Curriculum Analysis</title>
</titleInfo>
<name type="personal">
<namePart type="given">Hamdy</namePart>
<namePart type="family">Mubarak</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Shimaa</namePart>
<namePart type="family">Amer</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ahmed</namePart>
<namePart type="family">Abdelali</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kareem</namePart>
<namePart type="family">Darwish</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2020-12</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations</title>
</titleInfo>
<name type="personal">
<namePart type="given">Michal</namePart>
<namePart type="family">Ptaszynski</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Bartosz</namePart>
<namePart type="family">Ziolko</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>International Committee on Computational Linguistics (ICCL)</publisher>
<place>
<placeTerm type="text">Barcelona, Spain (Online)</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Developing a platform that analyzes the content of curricula can help identify their shortcomings and whether they are tailored to specific desired outcomes. In this paper, we present a system to analyze Arabic curricula and provide insights into their content. It allows users to explore word presence, surface-forms used, as well as contrasting statistics between different countries from which the curricula were selected. Also, it provides a facility to grade text in reference to given grade-level and gives users feedback about the complexity or difficulty of words used in a text.</abstract>
<identifier type="citekey">mubarak-etal-2020-arabic</identifier>
<identifier type="doi">10.18653/v1/2020.coling-demos.15</identifier>
<location>
<url>https://aclanthology.org/2020.coling-demos.15</url>
</location>
<part>
<date>2020-12</date>
<extent unit="page">
<start>80</start>
<end>86</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Arabic Curriculum Analysis
%A Mubarak, Hamdy
%A Amer, Shimaa
%A Abdelali, Ahmed
%A Darwish, Kareem
%Y Ptaszynski, Michal
%Y Ziolko, Bartosz
%S Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations
%D 2020
%8 December
%I International Committee on Computational Linguistics (ICCL)
%C Barcelona, Spain (Online)
%F mubarak-etal-2020-arabic
%X Developing a platform that analyzes the content of curricula can help identify their shortcomings and whether they are tailored to specific desired outcomes. In this paper, we present a system to analyze Arabic curricula and provide insights into their content. It allows users to explore word presence, surface-forms used, as well as contrasting statistics between different countries from which the curricula were selected. Also, it provides a facility to grade text in reference to given grade-level and gives users feedback about the complexity or difficulty of words used in a text.
%R 10.18653/v1/2020.coling-demos.15
%U https://aclanthology.org/2020.coling-demos.15
%U https://doi.org/10.18653/v1/2020.coling-demos.15
%P 80-86
Markdown (Informal)
[Arabic Curriculum Analysis](https://aclanthology.org/2020.coling-demos.15) (Mubarak et al., COLING 2020)
ACL
- Hamdy Mubarak, Shimaa Amer, Ahmed Abdelali, and Kareem Darwish. 2020. Arabic Curriculum Analysis. In Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations, pages 80–86, Barcelona, Spain (Online). International Committee on Computational Linguistics (ICCL).