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dc.contributor.author Saty, Ahmed
dc.contributor.author Aouragh, Si Lhoussain
dc.contributor.author Bouzoubaa, Karim
dc.date.accessioned 2023-05-09T09:27:45Z
dc.date.available 2023-05-09T09:27:45Z
dc.date.issued 2023-03-06
dc.identifier.uri http://hdl.handle.net/11372/LRT-4763
dc.description The file represents a text corpus in the context of Arabic spell checking, where a group of persons edited different files, and all of the committed spelling errors by these persons have been recorded. A comprehensive representation these persons’ profile has been considered: male, female, old-aged, middle-aged, young-aged, high and low computer usage users, etc. Through this work, we aim to help researchers and those interested in Arabic NLP by providing them with an Arabic spell check corpus ready and open to exploitation and interpretation. This study also enabled the inventory of most spelling mistakes made by editors of Arabic texts. This file contains the following sections (tags): people – documents they printed – types of possible errors – errors they made. Each section (tag) contains some data that explains its details and its content, which helps researchers extracting research-oriented results. The people section contains basic information about each person and its relationship of using the computer, while the documents section clarifies all sentences in each document with the numbering of each sentence to be used in the errors section that was committed. We are also adding the “type of errors” section in which we list all the possible errors with their description in the Arabic language and give an illustrative example.
dc.language.iso eng
dc.language.iso ara
dc.publisher Sudan University of Science and Technology
dc.relation.isreferencedby https://journal.uob.edu.bh/handle/123456789/4934
dc.rights Creative Commons - Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.rights.uri http://creativecommons.org/licenses/by-sa/4.0/
dc.source.uri http://arabic.emi.ac.ma/alelm/?q=Resources
dc.subject Manual Arabic spelling-errors correction for collected documents
dc.title Manual Arabic spelling-errors correction for collected documents
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LRT + Open Submissions
demo.uri http://arabic.emi.ac.ma/alelm/?page_id=273/#Corpus
contact.person Ahmed Sayu wdsaty@hotmail.com Sudan University of Science and Technology
size.info 619 kb
files.size 633710
files.count 1


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manual Spelling-errors correction.xml
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Zobrazit minimální záznam