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- W2252259581 abstract "Spelling check identifies incorrect writing words in documents. For the reason of input methods, Chinese spelling check is much different from English and it is still a challenging work. For the past decade years, most of the methods in detecting errors in documents are lexicon-based or probability-based, and much progress are made. In this paper, we propose a new method in Chinese spelling check by using maximum entropy (ME). Experiment shows that by importing a large raw corpus, maximum entropy can build a well-trained model to detect spelling errors in Chinese documents." @default.
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- W2252259581 date "2013-10-01" @default.
- W2252259581 modified "2023-09-28" @default.
- W2252259581 title "A Maximum Entropy Approach to Chinese Spelling Check" @default.
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