For languages that have no explicit word boundary such as Thai, Chinese and Japanese, correcting words in text is harder than in English because of additional ambiguities in locating error words. The traditional method handles this by hypothesizing that every substrings in the input sentence could be error words and trying to correct all of them. In this paper, we propose the idea of reducing the scope of spelling correction by focusing only on dubious areas in the input sentence.
