NDLI: An approach for analyzing and correcting spelling errors for non-native Arabic learners

Content Provider	IEEE Xplore Digital Library
Author	Shaalan, K. Aref, R. Fahmy, A.
Copyright Year	2010
Description	Author affiliation: Faculty of Informatics, British University in Dubai, Dubai International Academic City, PO Box 345015, Dubai, United Arab Emirates (Shaalan, K.) \|\| Department of Computer Science, Faculty of Computers and Information, Cairo University, 5 Ahmed Zewel St., PO Box 12613, Giza, Egypt (Aref, R.; Fahmy, A.)
Abstract	Spellcheckers are widely used in many software products for identifying errors in users' writings. However, they are not designed to address spelling errors made by non-native learners of a language. As a matter of fact, spelling errors made by non-native learners are more than just misspellings. Non-native learners' errors require special handling in terms of detection and correction, especially when it comes to morphologically rich languages such as Arabic, which have few related resources. In this paper, we address common error patterns made by non-native Arabic learners and suggest a two-layer spell-checking approach, including spelling error detection and correction. The proposed error detection mechanism is applied on top of Buckwalter's Arabic morphological analyzer in order to demonstrate the capability of our approach in detecting possible spelling errors. The correction mechanism adopts a rule-based edit distance algorithm. Rules are designed in accordance with common spelling error patterns made by Arabic learners. Error correction uses a multiple filtering mechanism to propose final corrections. The approach utilizes semantic information given in exercising questions in order to achieve highly accurate detection and correction of spelling errors made by non-native Arabic learners. Finally, the proposed approach was evaluated using real test data and promising results were achieved.
Starting Page	1
Ending Page	7
File Size	164459
Page Count	7
File Format	PDF
ISBN	9781424458288
e-ISBN	9781424458288
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-28
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Cairo University
Subject Keyword	Vocabulary Filtering Spelling Error Correction Natural languages Information analysis Computer science Non-native Arabic Learners Spelling Error Detection Computer errors Cities and towns Writing Error correction Testing
Content Type	Text
Resource Type	Article

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