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Vafa spell-checker for detecting spelling, grammatical, and real-word errors of Persian language.

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Title: Vafa spell-checker for detecting spelling, grammatical, and real-word errors of Persian language.
Authors: Faili, Heshaam1 hfaili@ut.ac.ir, Ehsan, Nava2, Montazery, Mortaza2, Pilehvar, Mohammad Taher2
Source: Digital Scholarship in the Humanities. 4/1/2016, Vol. 31 Issue 1, p95-117. 23p. 2 Diagrams, 8 Charts.
Subjects: Spell checkers (Computer programs), Grammar checkers (Computer software), Persian language, Information technology, Digital humanities
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of Digital Scholarship in the Humanities is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Vafa spell-checker for detecting spelling, grammatical, and real-word errors of Persian language.
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  Data: <searchLink fieldCode="JN" term="%22Digital+Scholarship+in+the+Humanities%22">Digital Scholarship in the Humanities</searchLink>. 4/1/2016, Vol. 31 Issue 1, p95-117. 23p. 2 Diagrams, 8 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Spell+checkers+%28Computer+programs%29%22">Spell checkers (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Grammar+checkers+%28Computer+software%29%22">Grammar checkers (Computer software)</searchLink><br /><searchLink fieldCode="DE" term="%22Persian+language%22">Persian language</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+humanities%22">Digital humanities</searchLink>
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Digital Scholarship in the Humanities is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: 4/1/2016
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