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dc.contributor.author Cicola, Ilaria
dc.contributor.author Pannitto, Ludovica
dc.contributor.author Peta, Ines
dc.contributor.author Fontana, Chiara
dc.contributor.author Norozi, Nahid
dc.contributor.author Demichelis, Marco
dc.contributor.author Aiello, Giulia
dc.date.accessioned 2026-04-17T09:25:37Z
dc.date.available 2026-04-17T09:25:37Z
dc.date.issued 2026-03-12
dc.identifier.uri http://hdl.handle.net/11356/2097
dc.description The Disasters corpus in classical Arabic sources (DiCCAS) is designed to allow historians to compare different accounts and narratives of disasters in a variety of classical Arabic sources. The corpus encompasses a diverse range of materials, including the Qur’an and the ḥadīth collections Saḥīḥ al-Bukhārī and Saḥīḥ Muslim, as well as several significant historical works, such as al-Ṭabarī’s Kitāb Tārīkh al-rusul wa-l-mulūk and Ibn Taghrībirdī’s Kitāb al-Nujūm al-zāhira fī mulūk Miṣr wa-l-Qāhira. The corpus also incorporates adab texts by al-Jāhiẓ, notably his Rasāʾil, and Ibn al-Jawzī’s al-Mudhish. The DiCCAS corpus is encoded using the Text Encoding Initiative (TEI) Guidelines which gives the structure of the corpus and marks disaster related words. It is also available in vertical format, which adds linguistic annotations, i.e. tokenisation, lemmatisations and PoS tagging.
dc.language.iso ara
dc.publisher University of Bologna
dc.relation.isreferencedby https://doi.org/10.5617/jais.12791
dc.rights Creative Commons - Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.label PUB
dc.source.uri https://github.com/LaboratorioSperimentale/DiCCAS
dc.subject Arabic history
dc.subject Arabic text encoding
dc.subject Islamicate history
dc.subject environmental challenges
dc.subject premodern Eurasia
dc.title Disasters corpus in classical Arabic sources DiCCAS
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
has.files yes
branding CLARIN.SI data & tools
contact.person Ilaria Cicola ilaria.cicola@unibo.it University of Bologna
contact.person Ludovica Pannitto ludovica.pannitto@unibo.it University of Bologna
contact.person Ines Peta ines.peta@unibo.it University of Bologna
sponsor NextGenerationEU - PRIN 2022 20225NNWWE_002 Environmental Anomalies & Political Legitimacy in Global Eurasia, 12th-14th century euFunds
size.info 10 texts
size.info 289480 tokens
files.count 7
files.size 21991150


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Ime
DiCCAS_README.md
Velikost
1.58 KB
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Neznano
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ReadME file with Description, Pipeline, HTML generation and Tagset information
MD5
9782f36e053f8b7e729d863f18a48318
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Ime
DiCCAS-annotation.md
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5.13 KB
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Neznano
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Description of TEI XML annotation
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02821c821b1a2cc972c88bb7ca37bf38
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Ime
diccas_tei.rng
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10.7 KB
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Neznano
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TEI Relax NG schema for DiCCAS
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7db7156f484533baeab739bbe2121c3b
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Ime
DiCCAS.tei.xml
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3.45 MB
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XML
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DiCCAS in TEI XML
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a52cc9c62a7ba66c3c18c53a07449a33
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Ime
diccas.xsl
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20.17 KB
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XSLT script to convert DiCCAS TEI to HTML
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20142bbdff8d01b4c0a1266602ac9ff6
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Ime
DiCCAS_html.html
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3.45 MB
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HTML
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DiCCAS in derived HTML
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b27ef4b15017d8655c470b2bb38755d2
 Prenesi datoteko  Predogled
 Predogled datoteke  
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DiCCAS_vert.vert
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14.03 MB
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Vertical file for NoSketch Engine
MD5
4b538ba1eacd541d7db360ea6c524be0
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