Combining trigram and automatic weight distribution in chinese spelling error correction

The researches on spelling correction aiming at detecting errors in texts tend to focus on context-sensitive spelling error correction, which is more difficult than traditional isolated-word error correction. A novel and efficient algorithm for the system of Chinese spelling error correction, CInsunSpell, is presented. In this system, the work of correction includes two parts: checking phase and correcting phase. At the first phase, a Trigram algorithm within one fixed-size window is designed to locate potential errors in local area. The second phase employs. a new method of automatically and dynamically distributing weights among the characters in the confusion set as well as in the Bayesian language model. The tactics used above exhibits good performances.