A Maximum Entropy Approach to Chinese Spelling Check
Dongxu Han, Baobao Chang · 2015
Spelling check identifies incorrect writ-ing 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 dec-ade years, most of the methods in detect-ing 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). Experi-ment shows that by importing a large raw corpus, maximum entropy can build a well-trained model to detect spelling er-rors in Chinese documents. 1