Research on word segmentation for Chinese sign language

It remains to be a difficult issue to convert Chinese language into Chinese sign language, which makes it hard to implement an obstacle free Chinese sign language information service under pervasive environment. This paper presents an improved algorithm of forward maximum match approach (MM) and backward maximum match approach (FMM), by taking the characteristics of Chinese sign language into consideration. Besides, a method to reorganize the Chinese sign language dictionary is presented. This paper also proposes a novel strategy of disambiguation based on the statistical information of the context and the mutual information. The experiment results indicate that the accuracy and the efficiency of word segmentation can improve significantly compared to conventional algorithms.