NDLI: Statistical Context-Sensitive Spelling Correction Using Typing Error Rate

Content Provider	IEEE Xplore Digital Library
Author	Minho Kim Jingzhi Jin Hyuk-Chul Kwon Aesun Yoon
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., Pusan Nat. Univ., Pusan, South Korea (Minho Kim; Jingzhi Jin; Hyuk-Chul Kwon; Aesun Yoon)
Abstract	Error words that appear in Korean texts can be largely categorized into non-word spelling errors and context-sensitive spelling errors. Of the two, context-sensitive spelling errors are shown only when considering the meaning of the word in the given context and its syntactic relation, and they are the most difficult to correct among spelling errors. Context-sensitive spelling errors can be categorized into homophone errors, typographical errors, grammatical errors, and cross-word boundary errors. To correct context-sensitive spelling errors that occur due to typographical errors, this study proposes a statistical context-sensitive spelling check using confusion sets. With confusion sets created in advance, we can find and correct context-sensitive spelling errors using reliability based on the conditional probability between each word of the confusion sets and the context as well as the typing error rate. As a result of applying the proposed method, all 5 confusion sets showed higher precision and recall than the baseline (precision 80%, recall 80%).
Starting Page	1242
Ending Page	1246
File Size	230916
Page Count	5
File Format	PDF
ISBN	9780769550961
DOI	10.1109/CSE.2013.185
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Korean spelling checker context-sensitive spelling correction Error analysis Redundancy Semantics Keyboards Probability typing error rate statistical approach
Content Type	Text
Resource Type	Article

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