摘要
文章介绍了一种规则与统计相结合的混合语言模型来实现盲文到汉语的机器翻译,该技术把基于统计的Markov模型与规则量化模型相结合,用Viterbi算法寻找最佳汉语句子,取得了良好的翻译效果。
In this paper,a mixed language model integrating rule-based grammer and statistical language model for translating Braille to Chinese is introduced,this technology integrating Markov language model based on statistic and quantized rules,employing Viterbi algorithm to find the best Chinese string,and the result of the translation is good.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第4期127-130,共4页
Computer Engineering and Applications
基金
国家杰出青年科学家基金资助(编号:69925102)