Vafa spell-checker for detecting spelling, grammatical, and real-word errors of Persian language.
With advancements in industry and information technology, large volumes of electronic documents such as newspapers, emails, weblogs, and theses are produced daily. Producing electronic documents has considerable benefits such as easy organizing and data management. Therefore, existence of automatic...
| Publicado en: | Digital Scholarship in the Humanities Vol. 31; no. 1; pp. 95 - 118 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Oxford University Press / USA
4/1/2016
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=114160249&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 114160249 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: 4/1/2016 vid: 31 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 114160249 10.1093/llc/fqu043 ppf: 95 ppct: 23 formats: fmt: @attributes: type: P size: 1.2MB tig: atl: Vafa spell-checker for detecting spelling, grammatical, and real-word errors of Persian language. aug: au: Faili, Heshaam Ehsan, Nava Montazery, Mortaza Pilehvar, Mohammad Taher affil: School of Electrical and Computer Engineering, College of Engineering, University of Tehran and School of Computer Science, Institute for Research in Fundamental Sciences (IPM) School of Electrical and Computer Engineering, College of Engineering, University of Tehran su: Spell checkers (Computer programs) Grammar checkers (Computer software) Persian language Information technology Digital humanities sug: subj: Spell checkers (Computer programs) Grammar checkers (Computer software) Persian language Information technology Digital humanities ab: With advancements in industry and information technology, large volumes of electronic documents such as newspapers, emails, weblogs, and theses are produced daily. Producing electronic documents has considerable benefits such as easy organizing and data management. Therefore, existence of automatic systems such as spell and grammar-checker/correctors can help to improve their quality. In this article, the development of an automatic spelling, grammatical and realword error checker for Persian (Farsi) language, named Vafa Spell-Checker, is explained. Different kinds of errors in a text can be categorized into spelling, grammatical, and real-word errors. Vafa Spell-Checker is a hybrid system in which both rule-based and statistical approaches are used to detect/correct whole types of errors. The detection and correction phases of spelling and realword errors are fully statistical, while for the grammar-checker, a rule-based approach is proposed. Vafa Spell-Checker attempts to process these kinds of error types in an integrated system for Persian language. The results on the real-world collected test set indicate that continuing the work on grammarchecker requires statistical approaches. Evaluation results with respect to F0.5 measure for spell-checker, grammar-checker, and real-word error checker are about 0.908, 0.452, and 0.187, respectively. Moreover, several free-usable language resources for Persian that are generated during this project are demonstrated in this article. These resources could be used in the further research in Persian language. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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