We present TISC, a multilingual, language-independent and context-sensitive spelling checking and correction system designed to facilitate the automatic removal of non-word spelling errors in large corpora. Its lexicon is derived from raw text corpora, ...
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 ...
Spelling errors are a characteristic of learner English and degrade the performances of natural language processing systems targeting English learners. This paper describes a method specially designed for automatically correcting spelling errors in ...
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