@inproceedings{asaad-2021-qurantree,
title = "{Q}uran{T}ree.jl: A Julia Package for Quranic {A}rabic Corpus",
author = "Asaad, Al-Ahmadgaid",
booktitle = "Proceedings of the Sixth Arabic Natural Language Processing Workshop",
month = apr,
year = "2021",
address = "Kyiv, Ukraine (Virtual)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wanlp-1.22",
pages = "208--212",
abstract = "QuranTree.jl is an open-source package for working with the Quranic Arabic Corpus (Dukes and Habash, 2010). It aims to provide Julia APIs as an alternative to the Java APIs of JQuranTree. QuranTree.jl currently offers functionalities for intuitive indexing of chapters, verses, words and parts of words of the Qur{'}an; for creating custom transliteration; for character dediacritization and normalization; and, for handling the morphological features. Lastly, it can work well with Julia{'}s TextAnalysis.jl and Python{'}s CAMeL Tools.",
}
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<abstract>QuranTree.jl is an open-source package for working with the Quranic Arabic Corpus (Dukes and Habash, 2010). It aims to provide Julia APIs as an alternative to the Java APIs of JQuranTree. QuranTree.jl currently offers functionalities for intuitive indexing of chapters, verses, words and parts of words of the Qur’an; for creating custom transliteration; for character dediacritization and normalization; and, for handling the morphological features. Lastly, it can work well with Julia’s TextAnalysis.jl and Python’s CAMeL Tools.</abstract>
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%0 Conference Proceedings
%T QuranTree.jl: A Julia Package for Quranic Arabic Corpus
%A Asaad, Al-Ahmadgaid
%S Proceedings of the Sixth Arabic Natural Language Processing Workshop
%D 2021
%8 apr
%I Association for Computational Linguistics
%C Kyiv, Ukraine (Virtual)
%F asaad-2021-qurantree
%X QuranTree.jl is an open-source package for working with the Quranic Arabic Corpus (Dukes and Habash, 2010). It aims to provide Julia APIs as an alternative to the Java APIs of JQuranTree. QuranTree.jl currently offers functionalities for intuitive indexing of chapters, verses, words and parts of words of the Qur’an; for creating custom transliteration; for character dediacritization and normalization; and, for handling the morphological features. Lastly, it can work well with Julia’s TextAnalysis.jl and Python’s CAMeL Tools.
%U https://aclanthology.org/2021.wanlp-1.22
%P 208-212
Markdown (Informal)
[QuranTree.jl: A Julia Package for Quranic Arabic Corpus](https://aclanthology.org/2021.wanlp-1.22) (Asaad, WANLP 2021)
ACL