期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2012
卷号：12
期号：5
页码：116-122
出版社：International Journal of Computer Science and Network Security
摘要：A context-based spelling error is a spelling or typing error that turns an intended word into another word of language. Most of the method that tried to solve this problem were depended on the confusion sets. Confusion set are collection of words where each word in the confusion set is ambiguous with the other words in the same set. the machine learning and statistical methods depend on Fand external dictionaries based on the concepts of field association terms and the power link. This method joins between the advantages of statistical and machine learning method and the re-source based methods. The values of precision, recall and F indicates that the proposed algorithm can produce in average 90%, 70% and 78% respectively which means that the algorithm tends to produce a low percentage of false negative errors. The value of F indicates the strong of the algorithm. Finally an evaluation experiment was done for the WinSpell algorithm performance using the new automatic approach to produce confusion sets.
关键词：Field Association Terms; Power Link; Context Spelling Checkers; WinSpell
