摘要
该文首先分析了蒙古文电子文本中存在的错误类型、出错原因以及常用的查错纠错方法,然后根据蒙古文特有的书写习惯和编码特点提出一种基于不确定有限自动机的校对算法。该算法采用有限自动机的方法对校对算法所依据的知识词典进行描述,大大提高了文本查错和纠错速度。
This paper first analyzes the error types existing in Mongolian text, the reasons for mistakes and the commonly used methods for spell-check and error-correcting in Mongolian text proofreading. Then according to the characteristics of Mongolian code and writing rules, an automatic proofreading algorithm based on Nondeterministic Finite Automata has been introduced. This algorithm has greatly improved the spell-check and error-correcting speed by using Nondeterministic Finite Automata in it's knowledge dictionary.
出处
《中文信息学报》
CSCD
北大核心
2009年第6期110-115,共6页
Journal of Chinese Information Processing
基金
国家语委民族语言规范化信息化资助项目(MZ115-017)
关键词
人工智能
自然语言处理
蒙古文
校对
自动机
词法分析
artificial intelligence
natural language processing
Mongolian
proofread
automata
morphological analysis