【摘 要】
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The researches on spelling correction aiming at detecting errors in texts tendto focus on context-sensitive spelling error correction, which is more difficult t
【机 构】
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School of Computer Science and Technology
论文部分内容阅读
The researches on spelling correction aiming at detecting errors in texts tendto focus on context-sensitive spelling error correction, which is more difficult than traditionalisolated-word error correction. A novel and efficient algorithm for the system of Chinese spellingerror correction, CInsunSpell, is presented. In this system, the work of correction includes twoparts: checking phase and correcting phase. At the first phase, a Trigram algorithm within onefixed-size window is designed to locate potential errors in local area. The second phase employsa new method of automatically and dynamically distributing weights among the characters inthe confusion set as well as in the Bayesian language model. The tactics used above exhibitsgood performances.
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